Method and system for detecting cooling performance of cold rolling lubricant

Abstract

The present invention relates to the technical field of cooling performance detection, and in particular to a method and system for detecting the cooling performance of a cold rolling lubricant. The method comprises the following steps: obtaining a cold rolling lubricant sample to be tested, performing cold rolling heating treatment and cooling experiment simulation to generate a cold rolling lubricant cooling simulation process; performing real-time monitoring of lubricant temperature and flow rate during the cold rolling lubricant cooling simulation process, and performing cooling rate influence correction calculation to obtain a cold rolling lubricant temperature cooling standard rate; performing quantitative thermal conductivity calculation on the cold rolling lubricant sample to be tested to obtain the cold rolling lubricant thermal conductivity; performing heat transfer fitting analysis and heat transfer coefficient estimation on the cold rolling lubricant cooling simulation process to obtain the heat transfer coefficient of the cold rolling lubricant cooling process; performing cooling performance scoring calculation on the corresponding cold rolling lubricant sample to be tested to obtain the cold rolling lubricant cooling performance capability. The present invention can detect and evaluate the cooling performance capability of a cold rolling lubricant in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of cooling performance detection, and in particular to a method and system for detecting the cooling performance of a cold rolling lubricant. Background Art

[0002] In the metal processing process, cold rolling is a key process that deforms metal materials into the desired shape by applying pressure at room temperature. The cold rolling process not only requires precise control of the thickness and shape of the material, but also ensures that the metal surface is smooth and defect-free, and avoids damage to the workpiece due to friction and heat accumulation. Therefore, cold rolling lubricants play a vital role in reducing friction, reducing wear, and improving surface quality. At the same time, the performance of cold rolling lubricants directly affects the efficiency of the rolling process and the quality of the product. Especially in the high-speed and high-load cold rolling process, the cooling performance of the lubricant is particularly important because it can effectively control the temperature of the processing area and prevent material deformation, surface damage and equipment damage caused by overheating. However, traditional cooling performance detection methods have certain limitations, such as the difficulty in accurately quantifying the temperature cooling rate during the cooling process, and the test conditions often cannot provide real-time and dynamic lubricant cooling performance evaluation results. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a method and system for detecting the cooling performance of a cold rolling lubricant to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above object, a method for detecting the cooling performance of a cold rolling lubricant comprises the following steps:

[0005] Step S1: obtaining a cold rolling lubricant sample to be tested, and coating the cold rolling lubricant sample to be tested on a cold rolling test piece to obtain a coated cold rolling lubricant test piece; starting a heating device to perform a cold rolling heating treatment on the coated cold rolling lubricant test piece according to a preset cold rolling heating test condition to obtain a cold rolling set temperature lubricant test piece; starting a cooling system to perform a cooling experiment simulation on the cold rolling set temperature lubricant test piece to generate a cold rolling lubricant cooling simulation process;

[0006] Step S2: Real-time monitoring of lubricant temperature and flow rate of the cold rolling lubricant cooling simulation process is performed through a temperature sensor and a flow meter to obtain cold rolling lubricant cooling temperature change data and cold rolling lubricant flow change data; based on the cold rolling lubricant flow change data, a cooling rate influence correction calculation is performed on the cold rolling lubricant cooling temperature change data to obtain the cold rolling lubricant temperature cooling standard rate;

[0007] Step S3: performing a quantitative calculation of the thermal conductivity of the cold rolling lubricant sample to be tested to obtain the thermal conductivity of the cold rolling lubricant; performing a heat transfer fitting analysis on the cold rolling lubricant cooling simulation process based on the thermal conductivity of the cold rolling lubricant to obtain a cold rolling lubricant cooling heat transfer fitting equation; estimating the heat transfer coefficient of the cold rolling lubricant cooling simulation process based on the cold rolling lubricant cooling heat transfer fitting equation to obtain the heat transfer coefficient of the cold rolling lubricant cooling process;

[0008] Step S4: Calculate the cooling performance score of the corresponding cold rolling lubricant sample to be tested based on the standard cooling rate of the cold rolling lubricant temperature, the thermal conductivity of the cold rolling lubricant, and the heat transfer coefficient of the cold rolling lubricant cooling process to obtain the cooling performance capacity of the cold rolling lubricant.

[0009] Further, step S1 includes the following steps:

[0010] Step S11: obtaining a cold rolling lubricant sample to be tested;

[0011] Step S12: performing physical property analysis on the cold rolling lubricant sample to be tested to obtain physical property parameter data of the cold rolling lubricant sample; performing surface standardization pretreatment on the cold rolling test piece based on the physical property parameter data of the cold rolling lubricant sample to obtain a cold rolling surface standardized test piece;

[0012] Step S13: Designing a coating process for the cold-rolled surface standardized test piece to generate coating process parameter conditions for the cold-rolled test piece; coating the cold-rolled lubricant sample to be tested on the cold-rolled surface standardized test piece based on the coating process parameter conditions for the cold-rolled test piece to obtain a coated cold-rolled lubricant test piece;

[0013] Step S14: starting the heating device according to the preset cold rolling heating test conditions to perform cold rolling heating treatment on the cold rolling lubricant coated test piece to obtain a cold rolling set temperature lubricant test piece;

[0014] Step S15: starting the cooling system to perform a cooling experiment simulation on the cold rolling set temperature lubricant test piece to generate a cold rolling lubricant cooling simulation process.

[0015] Further, step S2 includes the following steps:

[0016] Step S21: using a temperature sensor to monitor the lubricant temperature in real time during the cold rolling lubricant cooling simulation process to obtain cold rolling lubricant cooling temperature change data;

[0017] Step S22: using a flow meter to monitor the lubricant flow rate in real time during the cold rolling lubricant cooling simulation process to obtain cold rolling lubricant flow rate change data;

[0018] Step S23: performing lubricant fluid dynamics characteristic analysis on the cold rolling lubricant cooling simulation process based on the cold rolling lubricant flow change data to obtain cold rolling lubricant fluid dynamics characteristic parameters;

[0019] Step S24: performing cooling frame-to-frame temperature drop analysis on the cold rolling lubricant cooling temperature change data to obtain the temperature drop between cooling time frames of the cold rolling lubricant;

[0020] Step S25: performing a cooling rate influence correction calculation on the cold rolling lubricant cooling temperature variation data based on the cold rolling lubricant fluid dynamic characteristic parameters and the temperature drop amplitude between the cold rolling lubricant cooling time frames to obtain the cold rolling lubricant temperature cooling standard rate.

[0021] Further, step S23 includes the following steps:

[0022] Step S231: performing lubricant fluid dynamic field analysis on the corresponding cold rolling lubricant cooling simulation process based on the cold rolling lubricant flow change data to generate a fluid dynamic field of the cold rolling lubricant cooling process;

[0023] Step S232: performing flow velocity and pressure distribution decomposition processing on the fluid dynamic field of the cold rolling lubricant cooling process to obtain the flow velocity sub-field and the fluid pressure sub-field of the cold rolling lubricant cooling process;

[0024] Step S233: performing local flow velocity distribution analysis on the flow velocity sub-field of the cold rolling lubricant cooling process to obtain the local flow velocity distribution of the cold rolling lubricant; performing flow velocity momentum transmission loss analysis on the flow velocity sub-field of the cold rolling lubricant cooling process based on the local flow velocity distribution of the cold rolling lubricant to obtain the flow velocity momentum loss of the cold rolling lubricant cooling process; performing fluid flow stability evaluation on the corresponding flow velocity sub-field of the cold rolling lubricant cooling process according to the flow velocity momentum loss of the cold rolling lubricant cooling process to obtain the fluid flow stability parameter of the cold rolling lubricant;

[0025] Step S234: performing fluid inertial force and viscous force analysis on the fluid pressure field of the cold rolling lubricant cooling process to obtain the fluid inertial pressure and the fluid viscous pressure of the cold rolling lubricant cooling process; performing fluid Reynolds number characteristic evaluation based on the fluid inertial pressure and the fluid viscous pressure of the cold rolling lubricant cooling process to obtain the cold rolling lubricant fluid pressure Reynolds number characteristic parameter;

[0026] Step S235: merging the cold rolling lubricant fluid flow stability parameter and the cold rolling lubricant fluid pressure Reynolds number characteristic parameter into the fluid dynamic characteristic parameter to obtain the cold rolling lubricant fluid dynamic characteristic parameter.

[0027] Further, step S24 includes the following steps:

[0028] Step S241: dividing the cold rolling lubricant cooling temperature change data into different cooling time frame temperatures to obtain the cooling temperature data corresponding to the cold rolling lubricant cooling process in different cooling time frames;

[0029] Step S242: performing adjacent time frame gradient analysis on the cooling temperature data corresponding to the cold rolling lubricant cooling process in different cooling time frames to obtain the cooling temperature change gradient between each adjacent time frame in the cold rolling lubricant cooling process;

[0030] Step S243: calculating the temperature gradient change ratio of the cooling temperature change gradient between each adjacent time frame during the cooling process of the cold rolling lubricant to obtain the cooling temperature gradient change ratio between each adjacent time frame during the cooling process of the cold rolling lubricant;

[0031] Step S244: performing cooling frame drop analysis on the corresponding cooling temperature data in different cooling time frames based on the cooling temperature gradient change ratio between each adjacent time frame during the cold rolling lubricant cooling process to obtain the temperature drop between the cold rolling lubricant cooling time frames.

[0032] Further, step S25 includes the following steps:

[0033] Step S251: performing cooling temperature change correlation mining analysis on the cold rolling lubricant cooling temperature change data based on the cold rolling lubricant fluid dynamics characteristic parameters to obtain the correlation influence relationship between the cold rolling lubricant fluid characteristic parameters and the cooling temperature change;

[0034] Step S252: performing cooling temperature impact assessment analysis on the cold rolling lubricant cooling temperature change data based on the correlation influence relationship between the cold rolling lubricant fluid characteristic parameters and the cooling temperature change, so as to obtain the cold rolling lubricant cooling temperature-fluid characteristic correlation influence factor;

[0035] Step S253: performing cooling temperature decreasing rate analysis on the cold rolling lubricant cooling temperature change data based on the temperature drop amplitude between the cold rolling lubricant cooling time frames to obtain the cold rolling lubricant cooling temperature decreasing initial rate;

[0036] Step S254: performing a cooling rate influence correction calculation on the initial rate of decrease of the cold rolling lubricant cooling temperature based on the cold rolling lubricant cooling temperature-fluid property correlation influencing factor to obtain a standard rate of cooling of the cold rolling lubricant temperature.

[0037] Further, step S3 includes the following steps:

[0038] Step S31: extracting the specific heat capacity of the cold rolling lubricant sample to be tested to obtain the specific heat capacity of the cold rolling lubricant sample;

[0039] Step S32: performing quantitative calculation of the thermal conductivity of the corresponding cold rolling lubricant sample to be tested based on the specific heat capacity of the cold rolling lubricant sample to obtain the thermal conductivity of the cold rolling lubricant;

[0040] Step S33: analyzing the cooling heat change law of the corresponding cold rolling lubricant cooling simulation process based on the cold rolling lubricant thermal conductivity to obtain the heat conduction change law of the cold rolling lubricant cooling process;

[0041] Step S34: performing heat transfer fitting analysis on the corresponding cold rolling lubricant cooling simulation process based on the heat conduction variation law of the cold rolling lubricant cooling process, and obtaining a cold rolling lubricant cooling heat transfer fitting equation;

[0042] Step S35: Obtain the heat transfer coefficient of the cold rolling lubricant cooling simulation process based on the heat transfer coefficient of the cold rolling lubricant cooling process.

[0043] Furthermore, the cold rolling lubricant cooling heat transfer fitting equation described in step S34 is specifically:

[0044]

[0045] Q conv (t′)=h*A*(T l -T f (t′));

[0046] Where Q(t) is the total heat transferred during the cold rolling lubricant cooling simulation process at time t, t is the time measurement parameter, t′ is the integral time variable parameter, α is the thermal diffusivity of the cold rolling lubricant, is the Laplace operator, T l is the initial cooling temperature of the cold rolling lubricant, Q conv (t′) is the heat transfer between the cold rolling lubricant and the cold rolling test piece at time t′, k is the thermal conductivity of the cold rolling lubricant, A is the contact area between the cold rolling lubricant and the cold rolling test piece, D is the contact thickness between the cold rolling lubricant and the cold rolling test piece, T f (t′) is the cold rolling lubricant temperature at time t′, T env is the cooling environment temperature of the cold rolling lubricant, τ is the heat transfer time constant, ρ is the density of the cold rolling lubricant, C p is the specific heat capacity of the cold rolling lubricant, h is the weight coefficient of the convective heat transfer between the cold rolling lubricant and the cold rolling test piece, Q gen Additional internal heat for the cold rolling lubricant cooling process.

[0047] Furthermore, the cooling performance score calculation in step S4 is calculated by a cold rolling lubricant cooling capacity calculation formula, and the cold rolling lubricant cooling capacity calculation formula is specifically:

[0048]

[0049] Where θ is the cooling performance of the cold rolling lubricant, T in is the initial temperature of the cold rolling lubricant during the cooling process, T ou is the final temperature of the cold rolling lubricant during the cooling process, T is the cold rolling lubricant cooling temperature change parameter, h(T) is the heat transfer coefficient of the cold rolling lubricant cooling process at the cooling temperature T, A m is the contact area between the cooling lubricant and the surrounding environment, T m is the ambient temperature, v is the standard cooling rate of the cold rolling lubricant temperature, k is the thermal conductivity of the cold rolling lubricant, and η is the correction coefficient of the cooling performance capacity of the cold rolling lubricant.

[0050] Furthermore, the present invention also provides a cold rolling lubricant cooling performance detection system, which is used to execute the cold rolling lubricant cooling performance detection method as described above, and the cold rolling lubricant cooling performance detection system comprises:

[0051] The cold rolling lubricant cooling simulation module is used to obtain a cold rolling lubricant sample to be tested, and to obtain a coated cold rolling lubricant test piece by coating the cold rolling lubricant sample to be tested on a cold rolling test piece; to start a heating device to perform a cold rolling heating treatment on the coated cold rolling lubricant test piece according to a preset cold rolling heating test condition to obtain a cold rolling set temperature lubricant test piece; to perform a cooling experiment simulation on the cold rolling set temperature lubricant test piece by starting a cooling system to generate a cold rolling lubricant cooling simulation process;

[0052] The lubricant fluid cooling rate calculation module is used to monitor the lubricant temperature and flow rate in real time during the cold rolling lubricant cooling simulation process through a temperature sensor and a flow meter, and obtain the cold rolling lubricant cooling temperature change data and the cold rolling lubricant flow change data; based on the cold rolling lubricant flow change data, the cold rolling lubricant cooling temperature change data is subjected to a cooling rate influence correction calculation, thereby obtaining the cold rolling lubricant temperature cooling standard rate;

[0053] The heat parameter analysis module of the lubricant cooling process is used to perform quantitative calculation of the thermal conductivity of the cold rolling lubricant sample to be tested, so as to obtain the thermal conductivity of the cold rolling lubricant; based on the thermal conductivity of the cold rolling lubricant, a heat transfer fitting analysis is performed on the cold rolling lubricant cooling simulation process to obtain the cold rolling lubricant cooling heat transfer fitting equation; based on the cold rolling lubricant cooling heat transfer fitting equation, a heat transfer coefficient is estimated for the cold rolling lubricant cooling simulation process, so as to obtain the heat transfer coefficient of the cold rolling lubricant cooling process;

[0054] The cold rolling lubricant cooling performance scoring calculation module is used to calculate the cooling performance scoring of the corresponding cold rolling lubricant sample to be tested based on the standard cooling rate of the cold rolling lubricant temperature, the thermal conductivity of the cold rolling lubricant and the heat transfer coefficient of the cold rolling lubricant cooling process, so as to obtain the cooling performance capacity of the cold rolling lubricant.

[0055] Beneficial effects of the present invention:

[0056] 1. Compared with the prior art, the cold rolling lubricant cooling performance detection method proposed in the present invention has the beneficial effect of obtaining the corresponding cold rolling lubricant samples to be tested. The quality and characteristics of the samples directly affect the effectiveness and accuracy of subsequent tests. At this stage, it is crucial to ensure the reliability and consistency of the sample source. By selecting representative cold rolling lubricant samples, it can be ensured that the test results have wide applicability. The collection of samples needs to follow standard operating procedures to avoid the influence of external contamination on the characteristics of the samples. Properly treated samples will provide reliable basic data for physical property analysis and lay a good foundation for subsequent lubricant performance evaluation. By coating the cold rolling lubricant samples to be tested on the cold rolling test pieces, the high standards of the test piece coating quality can be ensured, laying a solid foundation for subsequent heating treatment and cooling experiments. By starting the heating device according to the preset cold rolling heating test conditions to perform cold rolling heating treatment on the cold rolling lubricant coated test piece, and heating the cold rolling lubricant under the preset cold rolling heating test conditions, researchers can heat the corresponding cold rolling lubricant to the preset temperature conditions. The effectiveness of this stage is directly related to the performance of the cold rolling lubricant in the subsequent cooling simulation process. Therefore, through rigorous heating treatment, it can provide real and reliable data support for subsequent cooling performance tests. At the same time, by starting the cooling system to simulate the cooling experiment of the cold rolling set temperature lubricant test piece, the cooling experiment effect in the actual cold rolling process can be simulated, so as to observe the cooling performance changes of the cold rolling lubricant at different cold rolling temperatures. The research results of this step can reveal the phase changes, decomposition and its influence on the lubrication effect of the cold rolling lubricant during the temperature change process, and provide a basis for the subsequent cold rolling lubricant cooling performance evaluation process. Secondly, by using temperature sensors to monitor the cold rolling lubricant cooling simulation process in real time, the temperature change data of the cold rolling lubricant during the cooling process can be obtained. The key to this step is to timely identify the abnormal temperature changes of the cold rolling lubricant during the cooling process, and the obtained temperature change data can provide an important basis for the subsequent fluid dynamics analysis. By analyzing the relationship between temperature and flow, we can have a deeper understanding of the flow characteristics of the lubricant during the cooling process. The application of flow meters makes it possible to monitor the flow of cold rolling lubricants in real time. Obtaining flow change data is crucial to understanding the behavior of lubricants during the cooling process. The key to this step is that it can directly affect the cooling effect. The appropriate flow rate ensures that the lubricant can evenly cover the metal surface. By analyzing the flow changes, the characteristics of fluid dynamics under different cooling conditions can be identified, which provides data support for the subsequent correction calculation of the cold rolling lubricant cooling rate.By also performing a cooling rate correction calculation on the cold rolling lubricant cooling temperature change data based on the cold rolling lubricant flow change data, a scientific standard cooling rate will be provided for the cooling performance evaluation of the cold rolling lubricant. This step can provide a quantitative standard for the cooling process under different process conditions through correction calculation to ensure the consistency of the cooling effect. The standardized cooling rate can improve the consistency and quality of the cold rolling lubricant and reduce defects caused by uneven cooling. This calculation can also provide data support for the adjustment of subsequent process parameters, so that the cold rolling process can be optimized in real time according to actual conditions, thereby accurately quantifying the temperature cooling rate of the lubricant during the cooling process. Then, the thermal conductivity of the cold rolling lubricant sample to be tested is quantitatively calculated. As an important parameter to characterize the thermal conductivity of the material, thermal conductivity is crucial for the performance evaluation and optimization of the lubricant. The quantitative calculation of thermal conductivity can reveal the thermal conductivity characteristics of the lubricant under high and low temperature conditions, thereby affecting the temperature control and cooling efficiency of the metal substrate during the cold rolling process. This process not only helps to improve the stability and safety of the cold rolling operation, but also promotes the evaluation of the cooling performance of the cold rolling lubricant. It can more comprehensively understand the thermal behavior of the lubricant during the cold rolling process, optimize the efficiency of the lubricant, and ensure the precise control and regulation of the cold rolling process. By performing heat transfer fitting analysis on the cold rolling lubricant cooling simulation process based on the thermal conductivity of the cold rolling lubricant, an accurate mathematical fitting equation for cooling heat transfer can be constructed. This fitting equation not only reflects the heat change characteristics of the lubricant during the cooling process, but also provides strong support for the subsequent estimation of the heat transfer coefficient. Through fitting analysis, the various parameters affecting the cooling efficiency can be quantified, and these fitting equations can be applied in actual production to predict the cooling effect. The fitted equation can provide guidance for the evaluation of the cooling performance of the lubricant. The heat transfer coefficient of the cold rolling lubricant cooling simulation process is estimated based on the cold rolling lubricant cooling heat transfer fitting equation. As an important parameter for measuring heat transfer efficiency, the accuracy of the heat transfer coefficient directly affects the application effect of the lubricant during the cold rolling process. Through the estimation of the heat transfer coefficient, the heat transfer performance between the lubricant and the cold rolling test piece can be accurately evaluated. The accurate heat transfer coefficient can provide guidance for the cooling performance evaluation in actual production. Finally, the cooling performance score of the cold rolling lubricant sample to be tested is calculated by combining the previously obtained cooling standard rate, thermal conductivity and heat transfer coefficient. This score can not only provide a quantitative evaluation standard, but also judge the effectiveness and applicability of the corresponding cooling lubricant in the actual cold rolling process, helping engineers and researchers to select the best lubricant in production and improve the overall efficiency and product quality of the cold rolling process. The cooling performance score can also provide real-time and dynamic cold rolling lubricant cooling performance evaluation results.

[0057] 2. The cold rolling lubricant cooling performance detection system proposed in the present invention is generally composed of a cold rolling lubricant cooling simulation module, a lubricant fluid cooling rate calculation module, a lubricant cooling process thermal parameter analysis module and a cold rolling lubricant cooling performance scoring calculation module. It can realize any cold rolling lubricant cooling performance detection method described in the present invention, and is used to combine the operations between computer programs running on each module to realize the cold rolling lubricant cooling performance detection method. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient cold rolling lubricant cooling performance detection process, thereby simplifying the operation process of the cold rolling lubricant cooling performance detection system. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0059] Figure 1 It is a schematic diagram of the steps of the method for detecting the cooling performance of the cold rolling lubricant of the present invention;

[0060] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0061] Figure 3 for Figure 1 Detailed step flow chart of step S2 in FIG. DETAILED DESCRIPTION

[0062] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0063] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0064] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0065] To achieve this, please refer to Figures 1 to 3 The present invention provides a method for detecting the cooling performance of a cold rolling lubricant, the method comprising the following steps:

[0066] Step S1: obtaining a cold rolling lubricant sample to be tested, and coating the cold rolling lubricant sample to be tested on a cold rolling test piece to obtain a coated cold rolling lubricant test piece; starting a heating device to perform a cold rolling heating treatment on the coated cold rolling lubricant test piece according to a preset cold rolling heating test condition to obtain a cold rolling set temperature lubricant test piece; starting a cooling system to perform a cooling experiment simulation on the cold rolling set temperature lubricant test piece to generate a cold rolling lubricant cooling simulation process;

[0067] Step S2: Real-time monitoring of lubricant temperature and flow rate of the cold rolling lubricant cooling simulation process is performed through a temperature sensor and a flow meter to obtain cold rolling lubricant cooling temperature change data and cold rolling lubricant flow change data; based on the cold rolling lubricant flow change data, a cooling rate influence correction calculation is performed on the cold rolling lubricant cooling temperature change data to obtain the cold rolling lubricant temperature cooling standard rate;

[0068] Step S3: performing a quantitative calculation of the thermal conductivity of the cold rolling lubricant sample to be tested to obtain the thermal conductivity of the cold rolling lubricant; performing a heat transfer fitting analysis on the cold rolling lubricant cooling simulation process based on the thermal conductivity of the cold rolling lubricant to obtain a cold rolling lubricant cooling heat transfer fitting equation; estimating the heat transfer coefficient of the cold rolling lubricant cooling simulation process based on the cold rolling lubricant cooling heat transfer fitting equation to obtain the heat transfer coefficient of the cold rolling lubricant cooling process;

[0069] Step S4: Calculate the cooling performance score of the corresponding cold rolling lubricant sample to be tested based on the standard cooling rate of the cold rolling lubricant temperature, the thermal conductivity of the cold rolling lubricant, and the heat transfer coefficient of the cold rolling lubricant cooling process to obtain the cooling performance capacity of the cold rolling lubricant.

[0070] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the cold rolling lubricant cooling performance detection method of the present invention. In this example, the cold rolling lubricant cooling performance detection method includes the following steps:

[0071] Step S1: obtaining a cold rolling lubricant sample to be tested, and coating the cold rolling lubricant sample to be tested on a cold rolling test piece to obtain a coated cold rolling lubricant test piece; starting a heating device to perform a cold rolling heating treatment on the coated cold rolling lubricant test piece according to a preset cold rolling heating test condition to obtain a cold rolling set temperature lubricant test piece; starting a cooling system to perform a cooling experiment simulation on the cold rolling set temperature lubricant test piece to generate a cold rolling lubricant cooling simulation process;

[0072] In the embodiment of the present invention, a reliable supplier is selected and a cold rolling lubricant that meets the test requirements is selected from its product line to avoid inaccurate test results due to fluctuations in sample quality. After obtaining the sample, a preliminary inspection is performed to ensure that the sample packaging is intact and clearly labeled, and the batch number, production date and shelf life information of the sample are recorded, thereby obtaining the cold rolling lubricant sample to be tested. At the same time, according to the specific requirements of the coating, including the coating thickness, uniformity and drying time, etc., a suitable coating method, such as spraying, brushing or dipping, is selected, and the cold rolling lubricant sample is evenly coated on the cold rolling test piece using a spraying device to ensure the uniformity and adhesion of the coating, thereby obtaining a coated cold rolling lubricant test piece. Secondly, when performing the cold rolling heating treatment of the cold rolling lubricant coated test piece, the heating conditions need to be preset, including the specific heating temperature, heating time and heating rate, etc., and by using a suitable heating device, such as an electric heating furnace or a hot air circulation furnace, the coated test piece is placed in the heating device to ensure that the test piece is evenly heated during the heating process, and gradually heated according to the preset temperature to reach the cold rolling set temperature, thereby obtaining a cold rolling set temperature lubricant test piece. Then, the previously heated cold rolling set temperature lubricant test piece is taken out of the heating device and quickly transferred to a cooling system, such as a cooling water tank or an air cooling device, so as to start the cooling system according to the preset cooling conditions, adjust the flow rate and temperature of the cooling water, or adjust the wind speed of the air cooling device, and experimentally simulate the cooling process corresponding to the cold rolling set temperature lubricant test piece, and record the temperature change of the test piece in real time, and finally simulate and generate the cold rolling lubricant cooling simulation process.

[0073] Step S2: Real-time monitoring of lubricant temperature and flow rate of the cold rolling lubricant cooling simulation process is performed through a temperature sensor and a flow meter to obtain cold rolling lubricant cooling temperature change data and cold rolling lubricant flow change data; based on the cold rolling lubricant flow change data, a cooling rate influence correction calculation is performed on the cold rolling lubricant cooling temperature change data to obtain the cold rolling lubricant temperature cooling standard rate;

[0074] In the embodiment of the present invention, a high-precision temperature sensor (such as a thermocouple or RTD sensor) is used to monitor the temperature change of the lubricant in real time during the cold rolling lubricant cooling simulation process. The temperature sensor is connected to the data acquisition system through a digital interface (such as RS485 or I2C) to collect temperature data regularly, thereby obtaining the cold rolling lubricant cooling temperature change data. Similarly, during the cold rolling lubricant cooling simulation process, an electromagnetic flowmeter or an ultrasonic flowmeter is selected to achieve real-time monitoring of the flow rate. The flowmeter should be a device with a high flow range and high sensitivity to ensure that the flow of the lubricant during the cooling process can be accurately measured. The flowmeter is also connected to the data acquisition system through a digital interface and is set to update the flow reading every second, thereby obtaining the cold rolling lubricant flow change data. At the same time, by combining the cold rolling lubricant flow change data obtained by real-time monitoring previously, the flow characteristics of the cold rolling lubricant in the cold rolling lubricant cooling simulation previously simulated are analyzed using CFD (computational fluid dynamics) software, so as to establish a fluid flow model, input flow data and the physical properties of the lubricant for numerical simulation, and obtain the dynamic characteristic parameters of the fluid under different flow conditions, such as flow stability parameters such as viscosity, density, flow behavior, and pressure Reynolds number, and by using data analysis software, the cold rolling lubricant cooling temperature change data previously obtained by real-time monitoring is statistically analyzed for the temperature change drop between time frames, so as to divide the temperature change data into multiple time frames. The temperature drop within each time frame is calculated, that is, the absolute value of the temperature difference between adjacent time points. Then, the influence of the fluid dynamic characteristic parameters obtained by the previous statistical analysis and the temperature drop between cooling time frames on the corresponding cold rolling lubricant cooling temperature change data is corrected and calculated. By combining the dynamic characteristics of the fluid and considering the relationship between flow rate, temperature and its change rate, the cooling rate is corrected. In the specific implementation, the input parameters include the initial temperature, target temperature, fluid dynamic parameters and flow data of the fluid. The calculation formula is used to correct the calculation to obtain the standard cooling rate of the cold rolling lubricant, and finally the standard cooling rate of the cold rolling lubricant temperature is obtained.

[0075] Step S3: performing a quantitative calculation of the thermal conductivity of the cold rolling lubricant sample to be tested to obtain the thermal conductivity of the cold rolling lubricant; performing a heat transfer fitting analysis on the cold rolling lubricant cooling simulation process based on the thermal conductivity of the cold rolling lubricant to obtain a cold rolling lubricant cooling heat transfer fitting equation; estimating the heat transfer coefficient of the cold rolling lubricant cooling simulation process based on the cold rolling lubricant cooling heat transfer fitting equation to obtain the heat transfer coefficient of the cold rolling lubricant cooling process;

[0076] In an embodiment of the present invention, the specific heat capacity of the cold rolling lubricant sample to be tested obtained previously is extracted to select a suitable pyrometer (e.g., differential scanning calorimeter DSC) for the experiment, the cold rolling lubricant sample to be tested is placed in the sample slot of the pyrometer, an appropriate heating rate (e.g., 5°C / min) is set and the temperature is increased within a specified temperature range (e.g., from room temperature to 200°C), and the specific value of its specific heat capacity is obtained, and the thermal conductivity of the corresponding cold rolling lubricant sample to be tested is quantitatively calculated by using a thermal conductivity testing instrument (e.g., transient plane heat source method equipment) in combination with the specific heat capacity of the sample analyzed previously, so as to place the sample in the measurement area of ​​the testing instrument, activate the instrument and set a constant heat flow input condition, and record the temperature change of the sample when the heat flow is applied, and apply Fourier's law to calculate the thermal conductivity. Specifically, the formula is used. Where R is the heat conducted, d is the sample thickness, S is the sample cross-sectional area, C pis the specific heat capacity of the cold rolling lubricant, ΔW is the sample conduction temperature difference, and the average value is taken as the thermal conductivity of the cold rolling lubricant, thereby obtaining the thermal conductivity of the cold rolling lubricant. At the same time, by combining the thermal conductivity of the cold rolling lubricant obtained by quantitative calculation previously, the corresponding cold rolling lubricant cooling simulation process is simulated and analyzed for the change law of heat conduction, so as to simulate by selecting computational fluid dynamics (CFD) software (such as ANSYS Fluent), and by establishing a model including the cold rolling lubricant and its environmental conditions, setting the initial temperature and boundary conditions, running the simulation to observe the temperature change of the cold rolling lubricant during the cooling process, and extracting the change law of heat conduction in different time periods during the cooling process, and by combining the heat conduction change law obtained by previous analysis, the heat transfer fitting analysis is performed between the cold rolling lubricant and the cold rolling test piece in the corresponding cold rolling lubricant cooling simulation process, so as to fit the heat transfer data according to the previous simulation results, so as to accurately describe the heat transfer in the cooling process of the cold rolling lubricant. Characteristics, the corresponding equation form is obtained by fitting, and the fitting equation is generated by combining the time measurement parameter, the thermal diffusivity of the cold rolling lubricant, the Laplace operator, the initial temperature of the cold rolling lubricant cooling, the heat transfer of heat conduction and convection, the thermal conductivity of the cold rolling lubricant, the temperature of the cold rolling lubricant, the cooling environment temperature of the cold rolling lubricant, the heat transfer time constant, the density of the cold rolling lubricant, the specific heat capacity of the cold rolling lubricant, the weight coefficient of the convection heat transfer between the cold rolling lubricant and the cold rolling test piece, the additional internal heat of the cold rolling lubricant cooling process and related parameters to generate the corresponding cooling heat transfer mathematical equation, thereby obtaining the cold rolling lubricant cooling heat transfer fitting equation. Then, the heat conduction and convection heat transfer between the cold rolling lubricant and the cold rolling test piece is obtained from the cold rolling lubricant cooling heat transfer fitting equation obtained by the previous fitting analysis, and the heat transfer coefficient of the corresponding cold rolling lubricant cooling simulation process is estimated by combining the heat conduction and convection heat transfer between the cold rolling lubricant and the cold rolling test piece using a suitable heat transfer equation (such as Newton's cooling law), and the formula is Where r is the heat transfer coefficient, Q conv is the heat transfer by heat conduction and convection, A is the contact area between the cold rolling lubricant and the cold rolling test piece, and ΔT is the temperature difference between the cold rolling lubricant and the cold rolling test piece. This is used to evaluate the effective heat transfer capacity of the lubricant during the cooling process, and finally the heat transfer coefficient of the cold rolling lubricant cooling process is obtained.

[0077] Step S4: Calculate the cooling performance score of the corresponding cold rolling lubricant sample to be tested based on the standard cooling rate of the cold rolling lubricant temperature, the thermal conductivity of the cold rolling lubricant, and the heat transfer coefficient of the cold rolling lubricant cooling process to obtain the cooling performance capacity of the cold rolling lubricant.

[0078] In an embodiment of the present invention, a suitable cold rolling lubricant cooling capacity calculation formula is formed by combining the initial temperature, final temperature, cold rolling lubricant cooling temperature change parameters, cold rolling lubricant cooling process heat transfer coefficient, contact area between the cooling lubricant and the surrounding environment, ambient temperature, cold rolling lubricant temperature cooling standard rate, cold rolling lubricant thermal conductivity and related parameters of the cold rolling lubricant during the cooling process, and the cooling performance score of the corresponding cold rolling lubricant sample to be tested is calculated to quantitatively calculate the cooling capacity score of the corresponding cold rolling lubricant, and finally the cooling performance capacity of the cold rolling lubricant is obtained.

[0079] Further, step S1 includes the following steps:

[0080] Step S11: obtaining a cold rolling lubricant sample to be tested;

[0081] Step S12: performing physical property analysis on the cold rolling lubricant sample to be tested to obtain physical property parameter data of the cold rolling lubricant sample; performing surface standardization pretreatment on the cold rolling test piece based on the physical property parameter data of the cold rolling lubricant sample to obtain a cold rolling surface standardized test piece;

[0082] Step S13: Designing a coating process for the cold-rolled surface standardized test piece to generate coating process parameter conditions for the cold-rolled test piece; coating the cold-rolled lubricant sample to be tested on the cold-rolled surface standardized test piece based on the coating process parameter conditions for the cold-rolled test piece to obtain a coated cold-rolled lubricant test piece;

[0083] Step S14: starting the heating device according to the preset cold rolling heating test conditions to perform cold rolling heating treatment on the cold rolling lubricant coated test piece to obtain a cold rolling set temperature lubricant test piece;

[0084] Step S15: starting the cooling system to perform a cooling experiment simulation on the cold rolling set temperature lubricant test piece to generate a cold rolling lubricant cooling simulation process.

[0085] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0086] Step S11: obtaining a cold rolling lubricant sample to be tested;

[0087] In an embodiment of the present invention, a reliable supplier is selected and a cold rolling lubricant that meets the test requirements is selected from its product line to avoid inaccurate test results due to fluctuations in sample quality. After obtaining the sample, a preliminary inspection is performed to ensure that the packaging of the sample is intact and the label is clear, and the batch number, production date and shelf life information of the sample are recorded. The sample is stored under appropriate environmental conditions to avoid deterioration or contamination of the sample before testing, and finally a sample of the cold rolling lubricant to be tested is obtained.

[0088] Step S12: performing physical property analysis on the cold rolling lubricant sample to be tested to obtain physical property parameter data of the cold rolling lubricant sample; performing surface standardization pretreatment on the cold rolling test piece based on the physical property parameter data of the cold rolling lubricant sample to obtain a cold rolling surface standardized test piece;

[0089] In the embodiment of the present invention, the physical properties of the cold rolling lubricant sample to be tested are statistically analyzed, mainly including the determination of parameters such as viscosity, density, flash point and fluidity, so as to measure the dynamic viscosity of the sample by using a viscometer to ensure that the test is carried out under the specified temperature conditions to ensure the accuracy of the data, and the density of the sample is measured by a densitometer, and the result is recorded. In the flash point test, the sample is heated by a closed cup flash point meter, and its flash point temperature is observed and recorded. After completing the physical property analysis, the physical property parameter data of the cold rolling lubricant sample is obtained. At the same time, the surface of the cold rolling test piece is subjected to standardized pretreatment based on the physical property parameter data of the cold rolling lubricant sample. The standardized pretreatment process includes selecting appropriate metal materials such as aluminum and steel based on the corresponding sample physical properties, and cleaning the surface of the test piece to remove impurities and contaminants on the surface, ensuring that the surface of the test piece is smooth and flawless, and finally obtaining a standardized test piece on the cold rolling surface.

[0090] Step S13: Designing a coating process for the cold-rolled surface standardized test piece to generate coating process parameter conditions for the cold-rolled test piece; coating the cold-rolled lubricant sample to be tested on the cold-rolled surface standardized test piece based on the coating process parameter conditions for the cold-rolled test piece to obtain a coated cold-rolled lubricant test piece;

[0091] In the embodiment of the present invention, the coating process is designed for the cold-rolled surface standardized test piece obtained after the pretreatment to clarify the specific requirements of the coating, including the coating thickness, uniformity and drying time, and according to the physical property parameters of the cold-rolled lubricant sample, a suitable coating method is selected, such as spraying, brushing or dipping, so as to design and generate the corresponding cold-rolled test piece coating process parameter conditions. At the same time, in actual operation, the cold-rolled lubricant sample is evenly coated on the cold-rolled surface standardized test piece using a spraying device in combination with the previously designed cold-rolled test piece coating process parameter conditions to ensure the uniformity and adhesion of the coating. After the coating is completed, appropriate drying conditions, including temperature and time, are set to ensure that the lubricant forms a good coating on the test piece surface, and finally a coated cold-rolled lubricant test piece is obtained.

[0092] Step S14: starting the heating device according to the preset cold rolling heating test conditions to perform cold rolling heating treatment on the cold rolling lubricant coated test piece to obtain a cold rolling set temperature lubricant test piece;

[0093] In an embodiment of the present invention, when performing cold rolling heating treatment on a specimen coated with a cold rolling lubricant, it is necessary to preset heating conditions, including specific heating temperature, heating time, and heating rate, etc., and by using a suitable heating device, such as an electric heating furnace or a hot air circulation furnace, the coated specimen is placed in the heating device to ensure that the specimen is evenly heated during the heating process, and the temperature is gradually increased according to the preset temperature. When the cold rolling set temperature is reached, the temperature is maintained for a period of time to ensure the accuracy and effectiveness of the test. After heating is completed, a cold rolling set temperature lubricant specimen is finally obtained.

[0094] Step S15: starting the cooling system to perform a cooling experiment simulation on the cold rolling set temperature lubricant test piece to generate a cold rolling lubricant cooling simulation process.

[0095] In an embodiment of the present invention, a previously heated cold-rolled set temperature lubricant test piece is taken out of a heating device and quickly transferred to a cooling system, such as a cooling water tank or an air cooling device, so that the cooling system is started to adjust the flow rate and temperature of the cooling water according to preset cooling conditions, or the wind speed of the air cooling device is adjusted, so as to experimentally simulate the cooling process corresponding to the cold-rolled set temperature lubricant test piece, and record the temperature changes of the test piece in real time, and finally simulate and generate a cold-rolled lubricant cooling simulation process.

[0096] Further, step S2 includes the following steps:

[0097] Step S21: using a temperature sensor to monitor the lubricant temperature in real time during the cold rolling lubricant cooling simulation process to obtain cold rolling lubricant cooling temperature change data;

[0098] Step S22: using a flow meter to monitor the lubricant flow rate in real time during the cold rolling lubricant cooling simulation process to obtain cold rolling lubricant flow rate change data;

[0099] Step S23: performing lubricant fluid dynamics characteristic analysis on the cold rolling lubricant cooling simulation process based on the cold rolling lubricant flow change data to obtain cold rolling lubricant fluid dynamics characteristic parameters;

[0100] Step S24: performing cooling frame-to-frame temperature drop analysis on the cold rolling lubricant cooling temperature change data to obtain the temperature drop between cooling time frames of the cold rolling lubricant;

[0101] Step S25: performing a cooling rate influence correction calculation on the cold rolling lubricant cooling temperature variation data based on the cold rolling lubricant fluid dynamic characteristic parameters and the temperature drop amplitude between the cold rolling lubricant cooling time frames to obtain the cold rolling lubricant temperature cooling standard rate.

[0102] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 1 Detailed step flow diagram of step S2 in FIG. 1 , in this embodiment, step S2 includes the following steps:

[0103] Step S21: using a temperature sensor to monitor the lubricant temperature in real time during the cold rolling lubricant cooling simulation process to obtain cold rolling lubricant cooling temperature change data;

[0104] In an embodiment of the present invention, a high-precision temperature sensor (such as a thermocouple or RTD sensor) is installed in the lubricant flow path during the cold rolling lubricant cooling simulation process to ensure that the temperature change of the lubricant can be monitored in real time. The temperature sensor is connected to the data acquisition system through a digital interface (such as RS485 or I2C) to collect temperature data at regular intervals. The data acquisition system is set to record the temperature value once per second to form a temperature change data set, and finally the cold rolling lubricant cooling temperature change data is obtained.

[0105] Step S22: using a flow meter to monitor the lubricant flow rate in real time during the cold rolling lubricant cooling simulation process to obtain cold rolling lubricant flow rate change data;

[0106] In an embodiment of the present invention, during the cold rolling lubricant cooling simulation process, an electromagnetic flowmeter or an ultrasonic flowmeter is installed in the pipeline of the lubricant test piece to achieve real-time monitoring of the flow rate. The flowmeter should be a device with a high flow range and high sensitivity to ensure accurate measurement of the flow rate of the lubricant during the cooling process. The flowmeter is also connected to the data acquisition system through a digital interface and is set to update the flow reading every second to generate a flow change data set, and finally obtain the cold rolling lubricant flow change data.

[0107] Step S23: performing lubricant fluid dynamics characteristic analysis on the cold rolling lubricant cooling simulation process based on the cold rolling lubricant flow change data to obtain cold rolling lubricant fluid dynamics characteristic parameters;

[0108] In an embodiment of the present invention, the flow characteristics of the cold rolling lubricant in the previously simulated cold rolling lubricant cooling simulation process are analyzed by combining the cold rolling lubricant flow change data obtained by previous real-time monitoring using CFD (computational fluid dynamics) software, so as to establish a fluid flow model, input flow data and the physical properties of the lubricant for numerical simulation, and obtain the dynamic characteristic parameters of the fluid under different flow conditions, such as flow stability parameters such as viscosity, density, flow behavior, and pressure Reynolds number. In the analysis process, grid division and boundary condition setting are used to ensure the accuracy of the simulation results and truly reflect the lubricant flow characteristics in the cold rolling process, and finally obtain the cold rolling lubricant fluid dynamic characteristic parameters.

[0109] Step S24: performing cooling frame-to-frame temperature drop analysis on the cold rolling lubricant cooling temperature change data to obtain the temperature drop between cooling time frames of the cold rolling lubricant;

[0110] In an embodiment of the present invention, a statistical analysis of the temperature drop between time frames is performed on the cold rolling lubricant cooling temperature change data previously obtained through real-time monitoring by using data analysis software, so as to divide the temperature change data into multiple time frames, and calculate the temperature drop within each time frame, that is, the absolute value of the temperature difference between adjacent time points. The analysis can be achieved by writing a data processing algorithm to ensure that the temperature changes within each time period are accurately recorded, and finally the temperature drop between the cold rolling lubricant cooling time frames is obtained.

[0111] Step S25: performing a cooling rate influence correction calculation on the cold rolling lubricant cooling temperature variation data based on the cold rolling lubricant fluid dynamic characteristic parameters and the temperature drop amplitude between the cold rolling lubricant cooling time frames to obtain the cold rolling lubricant temperature cooling standard rate.

[0112] In an embodiment of the present invention, the influence of the cold rolling lubricant fluid dynamic characteristic parameters obtained by previous statistical analysis and the temperature drop between the cold rolling lubricant cooling time frames on the corresponding cold rolling lubricant cooling temperature change data is corrected and calculated, so as to correct the cooling rate by combining the dynamic characteristics of the fluid and considering the relationship between flow rate, temperature and its change rate. In specific implementation, the input parameters include the initial temperature, target temperature, fluid dynamic parameters and flow data of the fluid, and the calculation formula is used to correct the calculation to obtain the standard cooling rate of the cold rolling lubricant, and finally the standard cooling rate of the cold rolling lubricant temperature is obtained.

[0113] Further, step S23 includes the following steps:

[0114] Step S231: performing lubricant fluid dynamic field analysis on the corresponding cold rolling lubricant cooling simulation process based on the cold rolling lubricant flow change data to generate a fluid dynamic field of the cold rolling lubricant cooling process;

[0115] In an embodiment of the present invention, the fluid dynamic field of the corresponding cold rolling lubricant cooling simulation process is simulated and analyzed by combining the cold rolling lubricant flow change data obtained by previous real-time monitoring, so as to establish a three-dimensional flow model of the cold rolling lubricant by using computational fluid dynamics (CFD) software, such as ANSYS Fluent or COMSOL Multiphysics. In this model, appropriate boundary conditions need to be set, such as parameters such as the flow rate, temperature and pressure of the inlet and outlet, and the flow behavior of the cold rolling lubricant in the cooling process is simulated by inputting the flow change data, thereby generating a fluid dynamic field in the cold rolling lubricant cooling process, ensuring that the fluid dynamic field can accurately reflect the cooling characteristics of the lubricant, and finally generating a fluid dynamic field in the cold rolling lubricant cooling process.

[0116] Step S232: performing flow velocity and pressure distribution decomposition processing on the fluid dynamic field of the cold rolling lubricant cooling process to obtain the flow velocity sub-field and the fluid pressure sub-field of the cold rolling lubricant cooling process;

[0117] In an embodiment of the present invention, the flow velocity and pressure distribution of the fluid dynamic field of the cold rolling lubricant cooling process generated by the previous simulation are solved. The specific steps are: first, the fluid dynamic field data is imported into the post-processing software, such as Paraview or Tecplot. In these software, by selecting appropriate visualization tools, the flow velocity and pressure distribution analysis is performed, and the flow velocity distribution diagram is superimposed with the pressure distribution diagram, which can clearly show the flow characteristics of the cold rolling lubricant in the cooling process. On this basis, the flow velocity field and the pressure field are decomposed, and the flow velocity sub-field and the fluid pressure sub-field in the cold rolling lubricant cooling process are extracted, and the data are quantitatively analyzed to obtain the distribution characteristics of the flow velocity and pressure at different positions, and finally the flow velocity sub-field and the fluid pressure sub-field of the cold rolling lubricant cooling process are obtained.

[0118] Step S233: performing local flow velocity distribution analysis on the flow velocity sub-field of the cold rolling lubricant cooling process to obtain the local flow velocity distribution of the cold rolling lubricant; performing flow velocity momentum transmission loss analysis on the flow velocity sub-field of the cold rolling lubricant cooling process based on the local flow velocity distribution of the cold rolling lubricant to obtain the flow velocity momentum loss of the cold rolling lubricant cooling process; performing fluid flow stability evaluation on the corresponding flow velocity sub-field of the cold rolling lubricant cooling process according to the flow velocity momentum loss of the cold rolling lubricant cooling process to obtain the fluid flow stability parameter of the cold rolling lubricant;

[0119] In an embodiment of the present invention, by performing local flow velocity distribution analysis on the flow velocity field during the cooling process of the cold rolling lubricant, a software tool is used to enlarge and display a specific area through a flow velocity field diagram to observe the local flow velocity distribution. A slicing tool can be used to cut the flow model at different heights and positions to obtain flow velocity data. This process requires recording the flow velocity values ​​at different slicing positions, and using a chart tool to organize the flow velocity values ​​into a local flow velocity distribution diagram, which clearly shows the flow velocity changes of the cold rolling lubricant during the cooling process, thereby obtaining the local flow velocity distribution of the cold rolling lubricant. At the same time, by combining the local flow velocity distribution of the cold rolling lubricant obtained by the previous statistical analysis, the flow velocity momentum transfer loss of the corresponding cold rolling lubricant cooling process flow velocity field is statistically calculated, so as to calculate the local flow velocity momentum according to the flow velocity value in the flow velocity distribution diagram, and the momentum loss is quantitatively analyzed by the momentum equation. The calculation function in the CFD software is used to evaluate the momentum transfer loss at different positions, and its relationship with the flow velocity is analyzed, so as to comprehensively evaluate the flow velocity momentum loss of the cold rolling lubricant during the cooling process. This process helps to clarify the energy loss of the lubricant during the flow process, thereby obtaining the flow velocity momentum loss of the cold rolling lubricant cooling process. Then, the flow velocity field of the cold rolling lubricant is evaluated and calculated based on the flow velocity momentum loss of the cold rolling lubricant cooling process obtained by the previous analysis. In the specific implementation, the flow velocity momentum loss data is first compared with the flow velocity distribution data, and the flow state is evaluated by the stability analysis method using the principle of fluid mechanics. In this process, a specific stability evaluation model is used, such as viscosity, density, flow behavior and other flow stability parameters, and finally the flow stability parameters of the cold rolling lubricant fluid are obtained.

[0120] Step S234: performing fluid inertial force and viscous force analysis on the fluid pressure field of the cold rolling lubricant cooling process to obtain the fluid inertial pressure and the fluid viscous pressure of the cold rolling lubricant cooling process; performing fluid Reynolds number characteristic evaluation based on the fluid inertial pressure and the fluid viscous pressure of the cold rolling lubricant cooling process to obtain the cold rolling lubricant fluid pressure Reynolds number characteristic parameter;

[0121] In the embodiment of the present invention, the Navier-Stokes equation of fluid dynamics is used to solve and analyze the fluid inertial force and viscous force of the fluid pressure field of the cold rolling lubricant cooling process previously decomposed, and the basic parameters such as the velocity field, viscosity, and density of the fluid are input to calculate the inertial pressure and viscous pressure of each flow area. The inertial pressure is obtained by multiplying the square of the flow velocity and the fluid density, while the viscous pressure is calculated by the shear stress and area of ​​the fluid to ensure accurate fluid inertia and viscous pressure values, thereby obtaining the inertial pressure of the cold rolling lubricant cooling process and the viscous pressure of the cold rolling lubricant cooling process. At the same time, the Reynolds number characteristics are evaluated and calculated by combining the inertial pressure of the cold rolling lubricant cooling process and the viscous pressure of the cold rolling lubricant cooling process obtained by the previous decomposition. The calculation formula of the Reynolds number is: Among them G x is the inertial pressure of the cold rolling lubricant during cooling, N x The viscosity pressure of the fluid in the cooling process of the cold rolling lubricant is calculated by collecting necessary data point by point during the cooling process of the cold rolling lubricant, calculating the Reynolds number and analyzing its characteristics. The evaluation results should include the flow state (laminar or turbulent) and the Reynolds number that changes with the flow conditions, and finally the Reynolds number characteristic parameters of the cold rolling lubricant fluid pressure are obtained.

[0122] Step S235: merging the cold rolling lubricant fluid flow stability parameter and the cold rolling lubricant fluid pressure Reynolds number characteristic parameter into the fluid dynamic characteristic parameter to obtain the cold rolling lubricant fluid dynamic characteristic parameter.

[0123] In an embodiment of the present invention, the fluid dynamic characteristic parameters are merged after the flow stability parameters and the fluid pressure Reynolds number characteristic parameters are evaluated, so as to form a comprehensive set of fluid dynamic characteristic parameters by combining the fluid flow stability parameters (such as viscosity, density, flow behavior, etc.) with the fluid pressure Reynolds number characteristic parameters, and finally obtain the cold rolling lubricant fluid dynamic characteristic parameters.

[0124] Further, step S24 includes the following steps:

[0125] Step S241: dividing the cold rolling lubricant cooling temperature change data into different cooling time frame temperatures to obtain the cooling temperature data corresponding to the cold rolling lubricant cooling process in different cooling time frames;

[0126] In an embodiment of the present invention, the cooling temperature change data of the cold rolling lubricant previously obtained through real-time monitoring is divided into temperatures under different cooling time frames to divide the entire cooling process into multiple time frames, for example, every 10 seconds is a time frame, and the collected cooling temperature change data is segmented by using a time series analysis method through data processing software, and the specific cooling temperature in each time frame is calculated. The goal of this step is to separate the temperature data in the cooling process according to the time frame, and finally obtain the cooling temperature data corresponding to the cold rolling lubricant cooling process in different cooling time frames.

[0127] Step S242: performing adjacent time frame gradient analysis on the cooling temperature data corresponding to the cold rolling lubricant cooling process in different cooling time frames to obtain the cooling temperature change gradient between each adjacent time frame in the cold rolling lubricant cooling process;

[0128] In the embodiment of the present invention, the cooling temperature data corresponding to the cooling time frames of the cold rolling lubricant cooling process obtained by the previous division are used to calculate the gradient of the adjacent time frames. In the specific implementation, the temperature difference between each adjacent time frame is calculated using a data analysis tool (such as MATLAB or Python's NumPy library). For example, for the cooling temperature T of the nth time frame, n and the cooling temperature T in the n+1th time frame n+1 , calculate its temperature gradient G n =T n+1 -T n , by summarizing the gradient values ​​of all adjacent time frames, a temperature change gradient list is formed. This process can reveal the rapid changes in cooling temperature in each time period, and finally obtain the cooling temperature change gradient between each adjacent time frame during the cold rolling lubricant cooling process.

[0129] Step S243: calculating the temperature gradient change ratio of the cooling temperature change gradient between each adjacent time frame during the cooling process of the cold rolling lubricant to obtain the cooling temperature gradient change ratio between each adjacent time frame during the cooling process of the cold rolling lubricant;

[0130] In the embodiment of the present invention, the temperature gradient change ratio is calculated for the cooling temperature change gradient between each adjacent time frame of the cold rolling lubricant cooling process obtained by statistical calculation previously. The specific operation is to calculate the ratio of the temperature change gradient of the adjacent time frames, using the formula Among them G n is the temperature change gradient of the current time frame, G n-1The temperature change gradient of the previous time frame is obtained by batch processing all time frame data through data analysis software, and generating the result of temperature gradient change ratio. This ratio provides an intuitive indicator of the relative change of cooling effect in each time period, which is convenient for identifying fluctuations and trends in cooling efficiency. Finally, the cooling temperature gradient change ratio between each adjacent time frame in the cold rolling lubricant cooling process is calculated.

[0131] Step S244: performing cooling frame drop analysis on the corresponding cooling temperature data in different cooling time frames based on the cooling temperature gradient change ratio between each adjacent time frame during the cold rolling lubricant cooling process to obtain the temperature drop between the cold rolling lubricant cooling time frames.

[0132] In an embodiment of the present invention, a drop analysis is performed on the temperature data in different cooling time frames by combining the cooling temperature gradient change ratio between each adjacent time frame in the cold rolling lubricant cooling process obtained by previous quantitative calculation, so as to calculate these ratios by using a set analysis and calculation method to evaluate the degree of drop in different cooling time frames. In a specific implementation, the formula for calculating the drop is the temperature gradient change ratio multiplied by the duration between the corresponding time frames, and a graphical tool is used to display the drop analysis results, so as to quickly understand and compare the performance differences between the cooling time frames, and finally obtain the temperature drop between the cooling time frames of the cold rolling lubricant.

[0133] Further, step S25 includes the following steps:

[0134] Step S251: performing cooling temperature change correlation mining analysis on the cold rolling lubricant cooling temperature change data based on the cold rolling lubricant fluid dynamics characteristic parameters to obtain the correlation influence relationship between the cold rolling lubricant fluid characteristic parameters and the cooling temperature change;

[0135] In an embodiment of the present invention, by combining the fluid dynamic characteristic parameters of the cold rolling lubricant obtained by previous analysis (such as flow stability parameters such as viscosity, density, flow behavior, and pressure Reynolds number, etc.), data analysis tools, such as Pandas and NumPy libraries in Python, are used to conduct in-depth analysis of the corresponding cold rolling lubricant cooling temperature change data, so as to quantify the relationship between the fluid characteristic parameters and the cooling temperature change by applying correlation analysis methods, such as the Pearson correlation coefficient or the Spearman rank correlation, and generate scatter plots and heat maps through data visualization tools (such as Matplotlib or Seaborn) to intuitively observe the correlation between the fluid characteristic parameters and the cooling temperature change. This process reveals how the fluid characteristic parameters of the cold rolling lubricant affect its cooling temperature change, and finally obtains the correlation and influence relationship between the fluid characteristic parameters of the cold rolling lubricant and the cooling temperature change.

[0136] Step S252: performing cooling temperature impact assessment analysis on the cold rolling lubricant cooling temperature change data based on the correlation influence relationship between the cold rolling lubricant fluid characteristic parameters and the cooling temperature change, so as to obtain the cold rolling lubricant cooling temperature-fluid characteristic correlation influence factor;

[0137] In an embodiment of the present invention, the cooling temperature impact assessment analysis is performed on the corresponding cold rolling lubricant cooling temperature change data by combining the correlation influence relationship between the cold rolling lubricant fluid characteristic parameters and the cooling temperature change obtained by the previous mining analysis, so as to utilize the multiple linear regression analysis method, take the fluid characteristic parameters as the independent variable, and the cooling temperature change as the dependent variable, establish a mathematical model, and quantitatively analyze the influence of each parameter on the cooling temperature. To ensure the reliability of the model, it is necessary to adopt cross-validation technology, segment the data set, and verify the predictive ability of the model. By calculating the standardized regression coefficient, the cooling temperature-fluid characteristic correlation influencing factors are identified, and the statistical significance of the identified factors is ensured through the significance test, and finally the cold rolling lubricant cooling temperature-fluid characteristic correlation influencing factors are obtained.

[0138] Step S253: performing cooling temperature decreasing rate analysis on the cold rolling lubricant cooling temperature change data based on the temperature drop amplitude between the cold rolling lubricant cooling time frames to obtain the cold rolling lubricant cooling temperature decreasing initial rate;

[0139] In an embodiment of the present invention, a statistical analysis of the cooling temperature decreasing rate is performed on the corresponding cold rolling lubricant cooling temperature change data by combining the temperature drop between the cold rolling lubricant cooling time frames obtained by previous analysis, so as to calculate the temperature difference between adjacent time points, that is, the temperature drop between the cold rolling lubricant cooling time frames, and calculate the ratio with the time interval to obtain the cooling temperature decreasing rate. The cooling process is modeled by using curve fitting technology (such as linear regression or polynomial regression), so as to accurately determine the initial rate of cooling temperature decrease, and finally obtain the initial rate of cooling temperature decrease of the cold rolling lubricant.

[0140] Step S254: performing a cooling rate influence correction calculation on the initial rate of decrease of the cold rolling lubricant cooling temperature based on the cold rolling lubricant cooling temperature-fluid property correlation influencing factor to obtain a standard rate of cooling of the cold rolling lubricant temperature.

[0141] In an embodiment of the present invention, the initial rate of decrease of the cooling temperature of the cold rolling lubricant is corrected by combining the cold rolling lubricant cooling temperature-fluid property correlation influence factor obtained by previous impact evaluation calculation, and the corrected cooling rate is calculated by substituting the correlation influence factor into the previously established cooling temperature decrease rate calculation process, and a fluid dynamics model is established using simulation software (such as MATLAB or COMSOL Multiphysics). Combined with the calculation results of the correction factor, the cooling process under different conditions is simulated to obtain the standard rate of temperature cooling of the cold rolling lubricant, and finally the standard rate of temperature cooling of the cold rolling lubricant is obtained.

[0142] Further, step S3 includes the following steps:

[0143] Step S31: extracting the specific heat capacity of the cold rolling lubricant sample to be tested to obtain the specific heat capacity of the cold rolling lubricant sample;

[0144] In an embodiment of the present invention, the specific heat capacity of the previously obtained cold rolling lubricant sample to be tested is extracted to select a suitable pyrometer (for example, a differential scanning calorimeter DSC) for the experiment, the cold rolling lubricant sample to be tested is placed in the sample slot of the pyrometer, an appropriate heating rate (such as 5°C / min) is set, and the temperature is increased within a specified temperature range (for example, from room temperature to 200°C), and the specific value of the specific heat capacity is obtained by measuring the heat flow change of the sample during the heating process, and finally the specific heat capacity of the cold rolling lubricant sample is obtained.

[0145] Step S32: performing quantitative calculation of the thermal conductivity of the corresponding cold rolling lubricant sample to be tested based on the specific heat capacity of the cold rolling lubricant sample to obtain the thermal conductivity of the cold rolling lubricant;

[0146] In an embodiment of the present invention, the thermal conductivity of the corresponding cold rolling lubricant sample to be tested is quantitatively calculated by using a thermal conductivity test instrument (such as a transient plane heat source method device) in combination with the previously obtained specific heat capacity of the cold rolling lubricant sample, so as to place the sample in the measurement area of ​​the test instrument, activate the instrument and set a constant heat flow input condition, and record the temperature change of the sample when the heat flow is applied, and apply Fourier's law to calculate the thermal conductivity. Specifically, the formula is used. Where R is the heat conducted, d is the sample thickness, S is the sample cross-sectional area, C p is the specific heat capacity of the cold rolling lubricant, ΔW is the sample conduction temperature difference, multiple sets of data are recorded to improve the accuracy of the measurement, and the average value is taken as the thermal conductivity of the cold rolling lubricant, and finally the thermal conductivity of the cold rolling lubricant is obtained.

[0147] Step S33: analyzing the cooling heat change law of the corresponding cold rolling lubricant cooling simulation process based on the cold rolling lubricant thermal conductivity to obtain the heat conduction change law of the cold rolling lubricant cooling process;

[0148] In an embodiment of the present invention, a simulation analysis of the heat conduction change law of the corresponding cold rolling lubricant cooling simulation process is performed by combining the thermal conductivity of the cold rolling lubricant obtained by previous quantitative calculation, so as to simulate by selecting computational fluid dynamics (CFD) software (such as ANSYS Fluent), and by establishing a model including the cold rolling lubricant and its environmental conditions, setting the initial temperature and boundary conditions, running the simulation to observe the temperature change of the cold rolling lubricant during the cooling process, analyzing the obtained temperature field and heat conduction data, extracting the heat conduction change law in different time periods during the cooling process, and determining the heat loss of the cold rolling lubricant and the mathematical law of its change with time, and finally obtaining the heat conduction change law of the cold rolling lubricant cooling process.

[0149] Step S34: performing heat transfer fitting analysis on the corresponding cold rolling lubricant cooling simulation process based on the heat conduction variation law of the cold rolling lubricant cooling process, and obtaining a cold rolling lubricant cooling heat transfer fitting equation;

[0150] In an embodiment of the present invention, a heat transfer fitting analysis is performed between the cold rolling lubricant and the cold rolling test piece in the corresponding cold rolling lubricant cooling simulation process by combining the heat conduction change law of the cold rolling lubricant cooling process obtained by previous analysis, so as to fit the heat transfer data using the calculus method according to the previous simulation results, so as to accurately describe the heat transfer characteristics in the cooling process of the cold rolling lubricant, and obtain the corresponding equation form by fitting. The fitting equation is combined with the time measurement parameter, the thermal diffusivity of the cold rolling lubricant, the Laplace operator, the initial cooling temperature of the cold rolling lubricant, the heat transfer amount of heat conduction and convection, the thermal conductivity of the cold rolling lubricant, the temperature of the cold rolling lubricant, the cooling environment temperature of the cold rolling lubricant, the heat transfer time constant, the density of the cold rolling lubricant, the specific heat capacity of the cold rolling lubricant, the weight coefficient of the convection heat transfer between the cold rolling lubricant and the cold rolling test piece, the additional internal heat of the cold rolling lubricant cooling process and related parameters to generate the corresponding cooling heat transfer mathematical equation, so as to ensure that the actual situation of heat transfer in the cooling process can be accurately reflected, and finally the cold rolling lubricant cooling heat transfer fitting equation is obtained.

[0151] Step S35: Obtain the heat transfer coefficient of the cold rolling lubricant cooling simulation process based on the heat transfer coefficient of the cold rolling lubricant cooling process.

[0152] In the embodiment of the present invention, the heat transfer coefficient of the corresponding cold rolling lubricant cooling simulation process is estimated by obtaining the heat conduction convection heat transfer between the cold rolling lubricant and the cold rolling test piece from the cold rolling lubricant cooling heat transfer fitting equation obtained by the previous fitting analysis, and combining the heat conduction convection heat transfer between the cold rolling lubricant and the cold rolling test piece with a suitable heat transfer equation (such as Newton's cooling law). The formula is: Where r is the heat transfer coefficient, Q conv is the heat transfer by heat conduction and convection, A is the contact area between the cold rolling lubricant and the cold rolling test piece, and ΔT is the temperature difference between the cold rolling lubricant and the cold rolling test piece. This is used to evaluate the effective heat transfer capacity of the lubricant during the cooling process, and finally the heat transfer coefficient of the cold rolling lubricant cooling process is obtained.

[0153] Furthermore, the cold rolling lubricant cooling heat transfer fitting equation described in step S34 is specifically:

[0154]

[0155] Q conv (t′)=h*A*(T l -T f (t′));

[0156] Where Q(t) is the total heat transferred during the cold rolling lubricant cooling simulation process at time t, t is the time measurement parameter, t′ is the integral time variable parameter, α is the thermal diffusivity of the cold rolling lubricant, is the Laplace operator, T l is the initial cooling temperature of the cold rolling lubricant, Q conv (t′) is the heat transfer between the cold rolling lubricant and the cold rolling test piece at time t′, k is the thermal conductivity of the cold rolling lubricant, A is the contact area between the cold rolling lubricant and the cold rolling test piece, D is the contact thickness between the cold rolling lubricant and the cold rolling test piece, T f (t′) is the cold rolling lubricant temperature at time t′, T env is the cooling environment temperature of the cold rolling lubricant, τ is the heat transfer time constant, ρ is the density of the cold rolling lubricant, C p is the specific heat capacity of the cold rolling lubricant, h is the weight coefficient of the convective heat transfer between the cold rolling lubricant and the cold rolling test piece, Q gen Additional internal heat for the cold rolling lubricant cooling process.

[0157] The present invention obtains a cold rolling lubricant cooling heat transfer fitting equation by using a specific mathematical model and after verification, which is used to fit the heat transfer of the corresponding cold rolling lubricant cooling simulation process. The cold rolling lubricant cooling heat transfer fitting equation can accurately grasp the heat conduction law of the cold rolling lubricant in the cooling process, so that in practical applications, the cooling parameters can be adjusted according to real-time monitoring data, thereby improving the cooling efficiency and reducing unnecessary energy consumption. Through the accurate determination of the thermal physical parameters such as the specific heat capacity and thermal conductivity of the cold rolling lubricant, data support can be provided for the formulation optimization of the lubricant, and the adjustment of the lubricant composition can improve its thermal conductivity, thereby improving its effect in the cooling process. By establishing a cooling heat transfer fitting equation, the temperature change of the cold-rolled product can be better controlled, and defects such as material deformation and cracks caused by improper temperature control can be avoided, thereby improving the quality of the final product. In addition, by using this equation, a scientific basis can be provided for the design and layout of the cooling performance evaluation process, ensuring the effective matching of the cooling equipment and the lubricant to achieve the best heat transfer effect. In summary, the fitting equation fully considers the total heat Q(t) transferred during the cold rolling lubricant cooling simulation process at time t, the time measurement parameter t, the integral time variable parameter t′, the cold rolling lubricant thermal diffusivity α, the Laplace operator Cold rolling lubricant cooling initial temperature T l , the heat transfer Q between the cold rolling lubricant and the cold rolling test piece at time t′ conv (t'), cold rolling lubricant thermal conductivity k, contact area A between cold rolling lubricant and cold rolling test piece, contact thickness D between cold rolling lubricant and cold rolling test piece, cold rolling lubricant temperature T at time t' f (t′), cold rolling lubricant cooling environment temperature T env , heat transfer time constant τ, cold rolling lubricant density ρ, cold rolling lubricant specific heat capacity C p , the weight coefficient of the convective heat transfer between the cold rolling lubricant and the cold rolling test piece h, the additional internal heat Q of the cold rolling lubricant cooling process gen , where the integral time variable parameter t′, the convective heat transfer influence weight coefficient h between the cold rolling lubricant and the cold rolling test piece, the contact area A between the cold rolling lubricant and the cold rolling test piece, and the initial cooling temperature T of the cold rolling lubricant are calculated. l And the cold rolling lubricant temperature T at time t' f (t′) constitutes a heat transfer Q between the cold rolling lubricant and the cold rolling test piece at time t′ conv (t′) h*A*(T l -T f (t′)), a functional relationship is formed according to the interrelationship between the total heat Q(t) transferred during the cold rolling lubricant cooling simulation process at time t and the above parameters:

[0158]

[0159] The fitting equation can realize the heat transfer fitting process of the corresponding cold rolling lubricant cooling simulation process, thereby improving the accuracy and applicability of the cold rolling lubricant cooling heat transfer fitting equation.

[0160] Furthermore, the cooling performance score calculation in step S4 is calculated by a cold rolling lubricant cooling capacity calculation formula, and the cold rolling lubricant cooling capacity calculation formula is specifically:

[0161]

[0162] Where θ is the cooling performance of the cold rolling lubricant, T in is the initial temperature of the cold rolling lubricant during the cooling process, T ou is the final temperature of the cold rolling lubricant during the cooling process, T is the cold rolling lubricant cooling temperature change parameter, h(T) is the heat transfer coefficient of the cold rolling lubricant cooling process at the cooling temperature T, A m is the contact area between the cooling lubricant and the surrounding environment, T m is the ambient temperature, v is the standard cooling rate of the cold rolling lubricant temperature, k is the thermal conductivity of the cold rolling lubricant, and η is the correction coefficient of the cooling performance capacity of the cold rolling lubricant.

[0163] The present invention obtains a cold rolling lubricant cooling capacity calculation formula by using a specific mathematical model and after verification, which is used to calculate the cooling performance score of the corresponding cold rolling lubricant sample to be tested. The cold rolling lubricant cooling capacity calculation formula can quantify the cooling performance of the cold rolling lubricant and provide a specific numerical basis, making the performance comparison between different lubricants more intuitive and scientific. The formula takes into account multiple key factors, temperature change (T in , T ou , T), heat transfer coefficient (h(T)), contact area (A m), flow velocity (v) and thermal conductivity (k). The thermal conductivity of the lubricant is directly related to the ability of heat to transfer within the lubricant. In addition, a correction factor is introduced to adjust the impact that other factors are not fully covered to ensure the comprehensiveness of the score. By real-time monitoring of temperature and flow during the cooling process, the cooling capacity score calculation can be dynamically adjusted to ensure the real-time and accuracy of the test results. This calculation formula performs heat transfer fitting analysis based on thermal conductivity, which helps to understand the heat exchange characteristics of lubricants during the cooling process, promotes the research and application of materials science, and can provide a scientific basis for optimizing lubricant formulations and use conditions. By quantifying the cooling performance, it can provide guidance for the practical application of lubricants, help engineers and technicians select suitable lubricants, optimize the cold rolling process, and thus improve production efficiency and product quality. In summary, this formula fully considers the cooling performance capacity θ of the cold rolling lubricant, the initial temperature T of the cold rolling lubricant during the cooling process in , the final temperature T of the cold rolling lubricant during the cooling process ou , the cold rolling lubricant cooling temperature variation parameter T, the cold rolling lubricant cooling process heat transfer coefficient h(T) at the cooling temperature T, the contact area A between the cooling lubricant and the surrounding environment m , ambient temperature T m , the standard cooling rate v of the cold rolling lubricant temperature, the thermal conductivity k of the cold rolling lubricant, the correction coefficient η of the cold rolling lubricant cooling performance capacity, and the mutual correlation between the cold rolling lubricant cooling performance capacity θ and the above parameters constitute a functional relationship The formula can realize the cooling performance score calculation process of the corresponding cold rolling lubricant sample to be tested. At the same time, the correction coefficient η of the cooling performance capacity of the cold rolling lubricant can be introduced to make adjustments according to the errors occurring in the calculation process, thereby improving the accuracy and applicability of the calculation formula for the cooling capacity of the cold rolling lubricant.

[0164] Furthermore, the present invention also provides a cold rolling lubricant cooling performance detection system, which is used to execute the cold rolling lubricant cooling performance detection method as described above, and the cold rolling lubricant cooling performance detection system comprises:

[0165] The cold rolling lubricant cooling simulation module is used to obtain a cold rolling lubricant sample to be tested, and to obtain a coated cold rolling lubricant test piece by coating the cold rolling lubricant sample to be tested on a cold rolling test piece; to start a heating device to perform a cold rolling heating treatment on the coated cold rolling lubricant test piece according to a preset cold rolling heating test condition to obtain a cold rolling set temperature lubricant test piece; to perform a cooling experiment simulation on the cold rolling set temperature lubricant test piece by starting a cooling system to generate a cold rolling lubricant cooling simulation process;

[0166] The lubricant fluid cooling rate calculation module is used to monitor the lubricant temperature and flow rate in real time during the cold rolling lubricant cooling simulation process through a temperature sensor and a flow meter, and obtain the cold rolling lubricant cooling temperature change data and the cold rolling lubricant flow change data; based on the cold rolling lubricant flow change data, the cold rolling lubricant cooling temperature change data is subjected to a cooling rate influence correction calculation, thereby obtaining the cold rolling lubricant temperature cooling standard rate;

[0167] The heat parameter analysis module of the lubricant cooling process is used to perform quantitative calculation of the thermal conductivity of the cold rolling lubricant sample to be tested, so as to obtain the thermal conductivity of the cold rolling lubricant; based on the thermal conductivity of the cold rolling lubricant, a heat transfer fitting analysis is performed on the cold rolling lubricant cooling simulation process to obtain the cold rolling lubricant cooling heat transfer fitting equation; based on the cold rolling lubricant cooling heat transfer fitting equation, a heat transfer coefficient is estimated for the cold rolling lubricant cooling simulation process, so as to obtain the heat transfer coefficient of the cold rolling lubricant cooling process;

[0168] The cold rolling lubricant cooling performance scoring calculation module is used to calculate the cooling performance scoring of the corresponding cold rolling lubricant sample to be tested based on the standard cooling rate of the cold rolling lubricant temperature, the thermal conductivity of the cold rolling lubricant and the heat transfer coefficient of the cold rolling lubricant cooling process, so as to obtain the cooling performance capacity of the cold rolling lubricant.

[0169] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0170] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for detecting the cooling performance of a cold rolling lubricant, characterized in that: The following steps are involved: Step S1: obtaining a cold rolling lubricant sample to be tested, and coating the cold rolling lubricant sample to be tested on a cold rolling test piece to obtain a coated cold rolling lubricant test piece; starting a heating device to perform a cold rolling heating treatment on the coated cold rolling lubricant test piece according to a preset cold rolling heating test condition to obtain a cold rolling set temperature lubricant test piece; starting a cooling system to perform a cooling experiment simulation on the cold rolling set temperature lubricant test piece to generate a cold rolling lubricant cooling simulation process; Step S2: Real-time monitoring of lubricant temperature and flow rate of the cold rolling lubricant cooling simulation process is performed through a temperature sensor and a flow meter to obtain cold rolling lubricant cooling temperature change data and cold rolling lubricant flow change data; based on the cold rolling lubricant flow change data, a cooling rate influence correction calculation is performed on the cold rolling lubricant cooling temperature change data to obtain the cold rolling lubricant temperature cooling standard rate; wherein, step S2 includes the following steps: Step S21: using a temperature sensor to monitor the lubricant temperature in real time during the cold rolling lubricant cooling simulation process to obtain cold rolling lubricant cooling temperature change data; Step S22: using a flow meter to monitor the lubricant flow rate in real time during the cold rolling lubricant cooling simulation process to obtain cold rolling lubricant flow rate change data; Step S23: performing lubricant fluid dynamics characteristic analysis on the cold rolling lubricant cooling simulation process based on the cold rolling lubricant flow change data to obtain cold rolling lubricant fluid dynamics characteristic parameters; Step S24: performing cooling frame-to-frame temperature drop analysis on the cold rolling lubricant cooling temperature change data to obtain the temperature drop between cooling time frames of the cold rolling lubricant; Step S25: performing a cooling rate influence correction calculation on the cold rolling lubricant cooling temperature variation data based on the cold rolling lubricant fluid dynamic characteristic parameters and the temperature drop amplitude between the cold rolling lubricant cooling time frames to obtain the cold rolling lubricant temperature cooling standard rate; Step S3: performing a quantitative calculation of the thermal conductivity of the cold rolling lubricant sample to be tested to obtain the thermal conductivity of the cold rolling lubricant; performing a heat transfer fitting analysis on the cold rolling lubricant cooling simulation process based on the thermal conductivity of the cold rolling lubricant to obtain a cold rolling lubricant cooling heat transfer fitting equation; estimating the heat transfer coefficient of the cold rolling lubricant cooling simulation process based on the cold rolling lubricant cooling heat transfer fitting equation to obtain the heat transfer coefficient of the cold rolling lubricant cooling process; Step S4: Based on the standard cooling rate of the cold rolling lubricant temperature, the thermal conductivity of the cold rolling lubricant, and the heat transfer coefficient of the cold rolling lubricant cooling process, the cooling performance score of the corresponding cold rolling lubricant sample to be tested is calculated to obtain the cooling performance capacity of the cold rolling lubricant, wherein the cooling performance score is calculated by the cold rolling lubricant cooling capacity calculation formula, and the cold rolling lubricant cooling capacity calculation formula is specifically: Where θ is the cooling performance of the cold rolling lubricant, T in is the initial temperature of the cold rolling lubricant during the cooling process, T ou is the final temperature of the cold rolling lubricant during the cooling process, T is the cold rolling lubricant cooling temperature change parameter, h(T) is the heat transfer coefficient of the cold rolling lubricant cooling process at the cooling temperature T, A m is the contact area between the cooling lubricant and the surrounding environment, T m is the ambient temperature, v is the standard cooling rate of the cold rolling lubricant temperature, k is the thermal conductivity of the cold rolling lubricant, and η is the correction coefficient of the cooling performance capacity of the cold rolling lubricant.

2. The method for detecting the cooling performance of cold rolling lubricant according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: obtaining a cold rolling lubricant sample to be tested; Step S12: performing physical property analysis on the cold rolling lubricant sample to be tested to obtain physical property parameter data of the cold rolling lubricant sample; performing surface standardization pretreatment on the cold rolling test piece based on the physical property parameter data of the cold rolling lubricant sample to obtain a cold rolling surface standardized test piece; Step S13: Designing a coating process for the cold-rolled surface standardized test piece to generate coating process parameter conditions for the cold-rolled test piece; coating the cold-rolled lubricant sample to be tested on the cold-rolled surface standardized test piece based on the coating process parameter conditions for the cold-rolled test piece to obtain a coated cold-rolled lubricant test piece; Step S14: starting the heating device according to the preset cold rolling heating test conditions to perform cold rolling heating treatment on the cold rolling lubricant coated test piece to obtain a cold rolling set temperature lubricant test piece; Step S15: starting the cooling system to perform a cooling experiment simulation on the cold rolling set temperature lubricant test piece to generate a cold rolling lubricant cooling simulation process.

3. The method for detecting the cooling performance of cold rolling lubricant according to claim 1, characterized in that: Step S23 includes the following steps: Step S231: performing lubricant fluid dynamic field analysis on the corresponding cold rolling lubricant cooling simulation process based on the cold rolling lubricant flow change data to generate a fluid dynamic field of the cold rolling lubricant cooling process; Step S232: performing flow velocity and pressure distribution decomposition processing on the fluid dynamic field of the cold rolling lubricant cooling process to obtain the flow velocity sub-field and the fluid pressure sub-field of the cold rolling lubricant cooling process; Step S233: performing local flow velocity distribution analysis on the flow velocity sub-field of the cold rolling lubricant cooling process to obtain the local flow velocity distribution of the cold rolling lubricant; performing flow velocity momentum transmission loss analysis on the flow velocity sub-field of the cold rolling lubricant cooling process based on the local flow velocity distribution of the cold rolling lubricant to obtain the flow velocity momentum loss of the cold rolling lubricant cooling process; performing fluid flow stability evaluation on the corresponding flow velocity sub-field of the cold rolling lubricant cooling process according to the flow velocity momentum loss of the cold rolling lubricant cooling process to obtain the fluid flow stability parameter of the cold rolling lubricant; Step S234: performing fluid inertial force and viscous force analysis on the fluid pressure field of the cold rolling lubricant cooling process to obtain the fluid inertial pressure and the fluid viscous pressure of the cold rolling lubricant cooling process; performing fluid Reynolds number characteristic evaluation based on the fluid inertial pressure and the fluid viscous pressure of the cold rolling lubricant cooling process to obtain the cold rolling lubricant fluid pressure Reynolds number characteristic parameter; Step S235: merging the cold rolling lubricant fluid flow stability parameter and the cold rolling lubricant fluid pressure Reynolds number characteristic parameter into the fluid dynamic characteristic parameter to obtain the cold rolling lubricant fluid dynamic characteristic parameter.

4. The method for detecting the cooling performance of cold rolling lubricant according to claim 1, characterized in that: Step S24 includes the following steps: Step S241: dividing the cold rolling lubricant cooling temperature change data into different cooling time frame temperatures to obtain the cooling temperature data corresponding to the cold rolling lubricant cooling process in different cooling time frames; Step S242: performing adjacent time frame gradient analysis on the cooling temperature data corresponding to the cold rolling lubricant cooling process in different cooling time frames to obtain the cooling temperature change gradient between each adjacent time frame in the cold rolling lubricant cooling process; Step S243: calculating the temperature gradient change ratio of the cooling temperature change gradient between each adjacent time frame during the cooling process of the cold rolling lubricant to obtain the cooling temperature gradient change ratio between each adjacent time frame during the cooling process of the cold rolling lubricant; Step S244: performing cooling frame drop analysis on the corresponding cooling temperature data in different cooling time frames based on the cooling temperature gradient change ratio between each adjacent time frame during the cold rolling lubricant cooling process to obtain the temperature drop between the cold rolling lubricant cooling time frames.

5. The method for detecting the cooling performance of cold rolling lubricant according to claim 1, characterized in that: Step S25 includes the following steps: Step S251: performing cooling temperature change correlation mining analysis on the cold rolling lubricant cooling temperature change data based on the cold rolling lubricant fluid dynamics characteristic parameters to obtain the correlation influence relationship between the cold rolling lubricant fluid characteristic parameters and the cooling temperature change; Step S252: performing cooling temperature impact assessment analysis on the cold rolling lubricant cooling temperature change data based on the correlation influence relationship between the cold rolling lubricant fluid characteristic parameters and the cooling temperature change, so as to obtain the cold rolling lubricant cooling temperature-fluid characteristic correlation influence factor; Step S253: performing cooling temperature decreasing rate analysis on the cold rolling lubricant cooling temperature change data based on the temperature drop amplitude between the cold rolling lubricant cooling time frames to obtain the cold rolling lubricant cooling temperature decreasing initial rate; Step S254: performing a cooling rate influence correction calculation on the initial rate of decrease of the cold rolling lubricant cooling temperature based on the cold rolling lubricant cooling temperature-fluid property correlation influencing factor to obtain a standard rate of cooling of the cold rolling lubricant temperature.

6. The method for detecting the cooling performance of cold rolling lubricant according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: extracting the specific heat capacity of the cold rolling lubricant sample to be tested to obtain the specific heat capacity of the cold rolling lubricant sample; Step S32: performing quantitative calculation of the thermal conductivity of the corresponding cold rolling lubricant sample to be tested based on the specific heat capacity of the cold rolling lubricant sample to obtain the thermal conductivity of the cold rolling lubricant; Step S33: analyzing the cooling heat change law of the corresponding cold rolling lubricant cooling simulation process based on the cold rolling lubricant thermal conductivity to obtain the heat conduction change law of the cold rolling lubricant cooling process; Step S34: performing heat transfer fitting analysis on the corresponding cold rolling lubricant cooling simulation process based on the heat conduction variation law of the cold rolling lubricant cooling process, and obtaining a cold rolling lubricant cooling heat transfer fitting equation; Step S35: Obtain the heat transfer coefficient of the cold rolling lubricant cooling simulation process based on the heat transfer coefficient of the cold rolling lubricant cooling process.

7. The method for detecting the cooling performance of cold rolling lubricant according to claim 6, characterized in that: The cold rolling lubricant cooling heat transfer fitting equation described in step S34 is specifically: Where Q(t) is the total heat transferred during the cold rolling lubricant cooling simulation process at time t, t is the time measurement parameter, and t ′ is the integral time variable parameter, α is the thermal diffusivity of the cold rolling lubricant, is the Laplace operator, T l is the initial cooling temperature of the cold rolling lubricant, Q conv (t ′ ) is the temperature between the cold rolling lubricant and the cold rolling test piece at time t ′ The heat transfer of heat conduction and convection at the moment, k is the thermal conductivity of the cold rolling lubricant, A is the contact area between the cold rolling lubricant and the cold rolling test piece, D is the contact thickness between the cold rolling lubricant and the cold rolling test piece, T f (t ′ ) is the time t ′ The cold rolling lubricant temperature at time T env is the cooling environment temperature of the cold rolling lubricant, τ is the heat transfer time constant, ρ is the density of the cold rolling lubricant, C p is the specific heat capacity of the cold rolling lubricant, h is the weight coefficient of the convective heat transfer between the cold rolling lubricant and the cold rolling test piece, Q gen Additional internal heat for the cold rolling lubricant cooling process.

8. A cold rolling lubricant cooling performance detection system, characterized in that: Used to perform the cold rolling lubricant cooling performance detection method according to claim 1, the cold rolling lubricant cooling performance detection system comprises: The cold rolling lubricant cooling simulation module is used to obtain a cold rolling lubricant sample to be tested, and to obtain a coated cold rolling lubricant test piece by coating the cold rolling lubricant sample on a cold rolling test piece; to start a heating device to perform a cold rolling heating treatment on the coated cold rolling lubricant test piece according to a preset cold rolling heating test condition to obtain a cold rolling set temperature lubricant test piece; to perform a cooling experiment simulation on the cold rolling set temperature lubricant test piece by starting a cooling system to generate a cold rolling lubricant cooling simulation process; The lubricant fluid cooling rate calculation module is used to monitor the lubricant temperature and flow rate in real time during the cold rolling lubricant cooling simulation process through a temperature sensor and a flow meter, and obtain the cold rolling lubricant cooling temperature change data and the cold rolling lubricant flow change data; based on the cold rolling lubricant flow change data, the cold rolling lubricant cooling temperature change data is subjected to a cooling rate influence correction calculation, thereby obtaining the cold rolling lubricant temperature cooling standard rate; The heat parameter analysis module of the lubricant cooling process is used to perform quantitative calculation of the thermal conductivity of the cold rolling lubricant sample to be tested, so as to obtain the thermal conductivity of the cold rolling lubricant; based on the thermal conductivity of the cold rolling lubricant, a heat transfer fitting analysis is performed on the cold rolling lubricant cooling simulation process to obtain the cold rolling lubricant cooling heat transfer fitting equation; based on the cold rolling lubricant cooling heat transfer fitting equation, a heat transfer coefficient is estimated for the cold rolling lubricant cooling simulation process, so as to obtain the heat transfer coefficient of the cold rolling lubricant cooling process; The cold rolling lubricant cooling performance scoring calculation module is used to calculate the cooling performance scoring of the corresponding cold rolling lubricant sample to be tested based on the standard cooling rate of the cold rolling lubricant temperature, the thermal conductivity of the cold rolling lubricant and the heat transfer coefficient of the cold rolling lubricant cooling process, so as to obtain the cooling performance capacity of the cold rolling lubricant.

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