Intelligent processing system for double helical hole hard alloy rod

Abstract

The present application relates to the technical field of hard alloy, in particular to a kind of intelligent processing system of double helix hole hard alloy bar, including, processing parameter construction module, mixing module, extrusion forming control module, dewaxing pre-burning control module, cryogenic treatment control module, acquisition module, calculation module, analysis module and control module, corresponding processing parameters are extracted and processed by processing parameter construction module, and the processing state is accurately judged by alloy bar green compact density and other key data in analysis module, and relevant processing parameters are corrected to form intelligent regulation and control closed loop according to this.The present application effectively overcomes the quality fluctuation problem caused by the fixed parameters in traditional processing, significantly improves the processing precision and quality stability of double helix hole hard alloy bar, and provides a strong guarantee for the processing of double helix hole hard alloy bar.

Description

Technical Field

[0001] This invention relates to the field of cemented carbide technology, and more specifically to an intelligent machining system for cemented carbide bars with double helical holes. Background Technology

[0002] In the traditional machining process of double-helix hole cemented carbide bars, machining parameters are generally predetermined before machining begins and cannot be adjusted in real time during the machining process. This static parameter configuration mode has significant drawbacks. In actual machining, the process is easily affected by various factors, such as slight differences in raw materials and minor fluctuations in equipment. Constant machining parameters make it difficult for the existing machining process to avoid problems based on the situation, and subsequent machining processes cannot optimize and adjust the problematic semi-finished products. As a result, the quality of the final double-helix hole cemented carbide bar is seriously affected, which in turn restricts the application and performance improvement of double-helix hole cemented carbide bars in internal cooling drill bits.

[0003] Chinese patent CN 112264626 A discloses a double-helix hole cemented carbide rod and its preparation method, including mixing, extrusion molding, dewaxing, and sintering. The sintered cemented carbide rod is then subjected to cryogenic treatment to obtain the finished double-helix hole cemented carbide rod. While this method can improve the physical properties of the finished product, it does not consider the various influences that the process may be affected during actual processing, nor does it consider optimization and improvement methods after being affected. Therefore, even though the double-helix hole cemented carbide rod prepared in the embodiment exhibits good performance, it is still far from practical industrial application. Summary of the Invention

[0004] To address this issue, the present invention provides an intelligent machining system for cemented carbide bars with double helix holes, which overcomes the problem that the machining parameters are difficult to optimize according to the machining conditions during the existing machining process of cemented carbide bars with double helix holes, resulting in poor quality of the finished product.

[0005] To achieve the above objectives, the present invention provides an intelligent machining system for double-helix hole cemented carbide bars, comprising,

[0006] The processing parameter construction module is used to extract the corresponding processing parameters based on the alloy bar model, including mixing parameters, extrusion molding parameters, dewaxing parameters, calcination parameters, and cryogenic treatment parameters.

[0007] A mixing module, which is connected to the processing parameter construction module, is used to mix materials based on the parameters output by the processing parameter construction module;

[0008] An extrusion molding control module, which is connected to the processing parameter construction module, is used to prepare alloy rod green blanks based on the parameters output by the processing parameter construction module;

[0009] A dewaxing and pre-firing control module, which is connected to the processing parameter construction module, is used to dewax and pre-firing alloy rod greens based on the parameters output by the processing parameter construction module to prepare alloy rod precursors;

[0010] A cryogenic treatment control module, which is connected to the processing parameter construction module, is used to perform cryogenic treatment on the alloy bar precursor based on the parameters output by the processing parameter construction module.

[0011] The acquisition module includes several gamma-ray densitometers, which are used to acquire the density at different sites on the green alloy rod.

[0012] A calculation module, which is connected to the acquisition module, is used to calculate the acquired parameters;

[0013] The analysis module, which is connected to the calculation module, is used to determine the processing state based on the density of the alloy bar green stock, and to correct the extrusion pressure, extrusion speed, mandrel rotation speed, extrusion temperature, cryogenic nitrogen flow rate and cryogenic holding time based on the processing state.

[0014] A control module, which is connected to the analysis module, the extrusion molding control module and the cryogenic treatment control module, is used to schedule the corresponding modules based on the instructions output by the analysis module.

[0015] Furthermore, the analysis module is used to determine whether the current state is in the first state based on the average density of the alloy bar green stock, and, when the state is determined to be in the first state, to determine the reason for the non-compliance of the density of the alloy bar green stock based on the density variance of the alloy bar green stock.

[0016] The average density of the alloy rod green stock is the average density of different sites on the alloy rod green stock.

[0017] Furthermore, the analysis module is used to determine the reason for the non-compliance of the density of the alloy bar blank based on the variance of the density of the alloy bar blank, and, when the first reason is determined, to correct the extrusion pressure based on the difference between the density variance of the alloy bar blank and the preset density variance of the alloy bar blank.

[0018] The variance of the green density of the alloy rod refers to the variance of the density at different sites on the green alloy rod.

[0019] Furthermore, the analysis module is used to increase the extrusion pressure based on the variance difference of the alloy bar green billet, and the increase in extrusion pressure is proportional to the variance difference of the alloy bar green billet.

[0020] The variance difference of the alloy bar green stock refers to the difference between the density variance of the alloy bar green stock and the preset density variance of the alloy bar green stock.

[0021] Furthermore, the analysis module is used to increase the extrusion speed based on the extrusion pressure difference, and the increase in extrusion speed is proportional to the extrusion pressure difference.

[0022] The extrusion pressure difference is the difference between the corrected extrusion pressure and the original extrusion pressure.

[0023] Furthermore, the analysis module is used to increase the rotational speed of the mandrel based on the extrusion speed difference, and the increase in the rotational speed of the mandrel is proportional to the extrusion speed difference;

[0024] The extrusion speed difference is the difference between the corrected extrusion speed and the original extrusion speed.

[0025] Furthermore, the analysis module is used to detect whether the average density of the alloy bar green stock after correcting the extrusion molding parameters is in a first state, and, when it is determined to be in the first state, to increase the extrusion temperature based on the difference in mandrel rotation speed, wherein the increase in extrusion temperature is proportional to the difference in mandrel rotation speed.

[0026] The difference in the rotational speed of the core rod is the difference between the corrected rotational speed of the core rod and the original rotational speed of the core rod.

[0027] Furthermore, the analysis module is used to determine the reason for the non-compliance of the green density of the alloy bar based on the variance of the green density of the alloy bar, and, when the second reason is determined, to correct the cryogenic nitrogen flow rate based on the difference between the average value of the green density of the alloy bar and the preset average value of the green density of the alloy bar.

[0028] Furthermore, the analysis module is used to reduce the cryogenic nitrogen flow rate based on the difference in the average density of the alloy bar green stock, and the reduction in cryogenic nitrogen flow rate is proportional to the difference in the average density of the double-helix hole cemented carbide bar green stock.

[0029] The difference in the average density of the alloy rod green stock is the difference between the average density of the alloy rod green stock and the preset average density of the alloy rod green stock.

[0030] Furthermore, the analysis module is used to extend the cryogenic insulation time based on the nitrogen flow rate difference, and the increase in cryogenic insulation time is proportional to the nitrogen flow rate difference;

[0031] The nitrogen flow rate difference is the difference between the cryogenic nitrogen flow rate before correction and the cryogenic nitrogen flow rate after correction.

[0032] Compared with existing technologies, the advantages of this invention lie in its ability to achieve close coordination and intelligent control of each stage in the processing of double-helix hole cemented carbide bars by constructing an intelligent processing system comprising multiple modules. The processing parameter construction module can accurately extract corresponding processing parameters based on the alloy bar model, providing basic guidance for subsequent processing. Each control module precisely controls key processes such as mixing, extrusion molding, dewaxing and pre-firing, and cryogenic treatment based on these parameters, ensuring the processing proceeds stably according to predetermined requirements. The acquisition module, in conjunction with the calculation module, can acquire key data such as the green density of the alloy bar in real time. The analysis module accurately judges the processing status based on this data and corrects relevant processing parameters accordingly. The control module then schedules the corresponding modules based on the correction instructions, forming a complete intelligent control closed loop. This intelligent processing mode effectively overcomes the quality fluctuation problem caused by fixed parameters and the inability to adjust them in real time in traditional processing, significantly improving the processing accuracy and quality stability of double-helix hole cemented carbide bars. This provides a strong guarantee for producing high-performance, high-quality products, and further promotes the development of cemented carbide processing technology towards intelligence and precision, which is of great significance.

[0033] Furthermore, based on the average density of the alloy bar stock, it can accurately determine whether the current processing state is in the first state. If it is in the first state, it can further investigate the specific reasons for the density failure based on the density variance. This hierarchical and refined judgment method provides a clear basis for subsequent targeted correction of processing parameters, avoids the risks and resource waste that may be caused by blindly adjusting parameters, and helps to optimize the processing process more accurately and improve product quality.

[0034] Furthermore, the analysis module corrects the extrusion pressure based on the difference between the density variance and the preset value. The density variance directly reflects the uniformity of density among all points in the green billet. By accurately calculating the density variance difference and increasing the extrusion pressure proportionally accordingly, the problem of uneven density distribution within the green billet caused by inaccurate extrusion molding control can be effectively solved. This data-driven dynamic correction mechanism enables refined and targeted control of the extrusion molding process, ensuring a more uniform density distribution in the alloy bar green billet, thereby improving the product's density and performance consistency. It avoids quality problems caused by rigid processing parameters in existing processes and provides a basis and benchmark for parameter optimization.

[0035] Furthermore, the analysis module fully considers the degree of density uniformity deviation corresponding to different variance differences by increasing the extrusion pressure proportionally to the variance difference of the alloy bar green billet. This ensures that appropriate pressure can be applied to improve density uniformity under different deviation conditions. It effectively solves the problem of high porosity in the alloy bar green billet while avoiding unnecessary damage to equipment or other adverse effects on the product due to excessive pressure.

[0036] Furthermore, the analysis module's mechanism of increasing the extrusion speed proportionally to the extrusion pressure difference allows the paste to pass through the die more smoothly, effectively avoiding quality problems such as spiral angle deformation caused by equipment overload or paste accumulation. This dynamic adjustment of the extrusion speed ensures the stability and continuity of the extrusion molding process, improves production efficiency, and at the same time ensures that the quality of the alloy bar blank is not affected by changes in extrusion pressure, providing a more reliable guarantee for producing high-quality, high-performance products.

[0037] Furthermore, by increasing the mandrel rotation speed based on the extrusion speed difference, and ensuring that the increase is proportional to the difference, the coordination between the corrected extrusion speed and the mandrel rotation speed is guaranteed, thereby ensuring the uniformity of the hole wall thickness. This improvement effectively solves the problem of uneven hole wall thickness caused by changes in extrusion speed, and further optimizes the internal structure and quality stability of the double-helix hole cemented carbide rod.

[0038] Furthermore, after correcting the extrusion pressure, extrusion speed, and mandrel rotation speed, the determination of whether further adjustment of the extrusion temperature is needed is made by checking whether the average density of the corrected alloy rod green stock is still in the first state. When it is still in the first state, the extrusion temperature is increased proportionally to the difference in mandrel rotation speed, which can effectively solve the problem of the influence of changes in extrusion pressure, extrusion speed, and mandrel rotation speed on the flowability of the billet. This ensures that the flowability of the billet is always in the optimal state under different conditions, thereby improving the stability and consistency of product quality, avoiding defects caused by insufficient billet flowability, and enabling the processing of double-helix hole cemented carbide rods to better adapt to various complex processing requirements, achieving more flexible control of the processing of double-helix hole cemented carbide rods.

[0039] Furthermore, when the density is unqualified but the density fluctuation is not significant, it is often due to insufficient mixing. In this case, adjusting the nitrogen flow rate during the cryogenic treatment process can effectively control the cooling rate during cryogenic treatment, promoting the precipitation of nano-carbide at the grain boundaries, filling microscopic voids, thereby reducing porosity, improving the density and strength of the product, and compensating for the initial defects caused by mixing problems. This dynamic correction method based on the difference in average density provides an effective remedy for potential problems in the mixing process, ensuring that even with minor deviations in the mixing process, subsequent optimization and adjustments can be made to produce double-helix hole cemented carbide rods that meet quality requirements.

[0040] Furthermore, reducing the nitrogen flow rate slows down the cooling rate, allowing sufficient time for nano-carbide to precipitate at grain boundaries and fill microscopic voids, thereby reducing porosity and improving the product's density and strength. By setting a direct proportionality between the average density difference and the reduction in nitrogen flow rate, the nitrogen flow rate can be precisely adjusted according to different density deviations, effectively reducing porosity while preventing thermal stress cracking. This precise control of cryogenic treatment parameters further optimizes the microstructure and properties of the double-helix hole cemented carbide rod, avoiding density inhomogeneity caused by uneven mixing, thus providing a strong guarantee for the high-quality completion of the entire processing flow.

[0041] Furthermore, by setting a direct proportional relationship between the increase in holding time and the difference in nitrogen flow rate, the coordinated changes in holding time and nitrogen flow rate are ensured, while avoiding the problem of decreased processing efficiency due to excessively extended holding time. This intelligent control of cryogenic holding time further optimizes the cryogenic treatment effect of double-helix hole cemented carbide bars, improving their performance while ensuring processing efficiency, achieving a dual optimization of quality and efficiency. Attached Figure Description

[0042] Figure 1 This is a block diagram of the intelligent machining system for double-helix hole cemented carbide bars in an embodiment of the present invention.

[0043] Figure 2 This is a flowchart illustrating the intelligent machining system for double-helix hole cemented carbide bars in this embodiment of the invention.

[0044] Figure 3 This is a flowchart illustrating the increase in extrusion pressure based on the variance difference of the alloy bar green billet in an embodiment of the present invention;

[0045] Figure 4 This is a flowchart illustrating the reduction of cryogenic nitrogen flow rate based on the average difference in the density of alloy bar green stock in an embodiment of the present invention. Detailed Implementation

[0046] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0047] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0048] Please see Figure 1The diagram shown is a block diagram of the intelligent machining system for double-helix hole cemented carbide rods in an embodiment of the present invention. The intelligent machining system for double-helix hole cemented carbide rods in an embodiment of the present invention includes a machining parameter construction module, a mixing module, an extrusion molding control module, a dewaxing and pre-firing control module, a cryogenic treatment control module, a data acquisition module, a calculation module, an analysis module, and a control module.

[0049] Among them, the processing parameter construction module is used to extract the corresponding processing parameters based on the alloy bar model, including mixing parameters, extrusion molding parameters, dewaxing parameters, calcination parameters, and cryogenic treatment parameters;

[0050] A mixing module, which is connected to the processing parameter construction module, is used to mix materials based on the parameters output by the processing parameter construction module;

[0051] An extrusion molding control module, which is connected to the processing parameter construction module, is used to prepare alloy rod green blanks based on the parameters output by the processing parameter construction module;

[0052] A dewaxing and pre-firing control module, which is connected to the processing parameter construction module, is used to dewax and pre-firing alloy rod greens based on the parameters output by the processing parameter construction module to prepare alloy rod precursors;

[0053] A cryogenic treatment control module, which is connected to the processing parameter construction module, is used to perform cryogenic treatment on the alloy bar precursor based on the parameters output by the processing parameter construction module.

[0054] The acquisition module includes several gamma-ray densitometers, which are used to acquire the density at different sites on the green alloy rod.

[0055] A calculation module, which is connected to the acquisition module, is used to calculate the acquired parameters;

[0056] An analysis module, connected to the calculation module, is used to determine the processing state based on the density of the alloy bar green stock, and to correct the extrusion pressure, extrusion speed, mandrel rotation speed, extrusion temperature, cooling temperature, and cryogenic holding time based on the processing state.

[0057] A control module, which is connected to the analysis module, the extrusion molding control module and the cryogenic treatment control module, is used to schedule the corresponding modules based on the instructions output by the analysis module.

[0058] The database of the processing parameter construction module contains alloy bar models and their corresponding processing parameters. When processing parameters are obtained through the processing parameter construction module, the alloy bar model is input, and the corresponding processing parameters are output based on the alloy bar model.

[0059] The method for preparing the alloy rod is not limited in principle. Technicians can process the alloy rod according to the preparation method of the existing technology. The processing steps include mixing, extrusion molding, dewaxing, sintering and cryogenic treatment.

[0060] The mixing parameters refer to the processing parameters involved in mixing metal raw material powder (such as tungsten carbide, cobalt powder, etc.) with a forming agent to form a uniform powder raw material during the preparation of alloy rods. The mixing parameters are not limited in principle, but may include ball milling time, ball milling speed, type of forming agent, ratio of forming agent, etc., which will not be elaborated here.

[0061] The extrusion molding parameters refer to the processing parameters in the process of forming alloy rods with double helical holes by extruding powder raw materials through a die. In principle, the extrusion molding parameters are not limited, but may include die type, extrusion pressure, extrusion speed, mandrel rotation speed and extrusion temperature, etc., which will not be elaborated here.

[0062] The dewaxing parameters refer to the processing parameters for removing the molding agent. In principle, the dewaxing parameters are not limited. For example, they may include dewaxing temperature, dewaxing time, dewaxing heating rate, dewaxing cooling rate, and vacuum degree. These will not be elaborated further.

[0063] The calcination parameters refer to the processing parameters in the process of sintering the formed billet at high temperature to obtain the alloy rod precursor. In principle, the calcination parameters are not limited. For example, they may include the calcination heating rate, calcination cooling rate, calcination holding time, and calcination temperature, etc., which will not be elaborated here.

[0064] The cryogenic treatment parameters refer to the processing parameters for cryogenic treatment of the alloy rod precursor. The cryogenic treatment parameters are not limited in principle, but may include cryogenic treatment temperature, cryogenic holding time and cryogenic nitrogen flow rate, etc., which will not be elaborated here.

[0065] The acquisition module collects the density of the alloy rod green stock using a gamma-ray densitometer. A gamma-ray densitometer is a non-contact instrument that measures density based on the principle that gamma rays attenuate when penetrating the test material. When gamma rays pass through the test material, the intensity of the rays will decrease exponentially, and the degree of attenuation is directly related to the density of the medium. By measuring the intensity of the rays after penetration, the density of the medium can be calculated. When collecting the density of the alloy rod green stock at different locations using a gamma-ray densitometer, the sampling locations are not limited in principle. For example, the end point of the alloy rod green stock, one-quarter, two-quarters, and three-quarters of the axial distance of the alloy rod can be selected as sampling locations to collect the density of the alloy rod.

[0066] Please see Figure 2The diagram shown is a flowchart of the intelligent machining system for double-helix hole cemented carbide bars in an embodiment of the present invention. The workflow of the intelligent machining system for double-helix hole cemented carbide bars in an embodiment of the present invention includes:

[0067] S1: The processing parameter construction module extracts the corresponding processing parameters based on the alloy bar model;

[0068] S2: The mixing module performs mixing based on mixing parameters;

[0069] S3: The extrusion molding control module prepares alloy rod green blanks based on extrusion molding parameters;

[0070] S4: The dewaxing and pre-calcination control module performs dewaxing and pre-calcination on the alloy rod green blank to prepare the alloy rod precursor based on the dewaxing parameters and calcination parameters;

[0071] S5: The cryogenic treatment control module performs cryogenic treatment on the alloy rod precursor based on cryogenic treatment parameters;

[0072] S6: The acquisition module acquires the density at different sites on the alloy rod green stock;

[0073] S7: Parameters collected by the calculation module;

[0074] S8: The analysis module determines the processing state based on the density of the alloy bar green stock and corrects the extrusion pressure, extrusion speed, mandrel rotation speed, extrusion temperature, cryogenic nitrogen flow rate, and cryogenic holding time based on the processing state;

[0075] S9: The control module schedules the corresponding module based on the correction instructions issued by the analysis module.

[0076] Furthermore, the analysis module is used to determine whether the current state is in the first state based on the average density of the alloy bar green stock, and, when the state is determined to be in the first state, to determine the reason for the non-compliance of the density of the alloy bar green stock based on the density variance of the alloy bar green stock.

[0077] The average density of the alloy rod green stock refers to the average density at different locations on the alloy rod green stock. This alloy rod is commonly used as a raw material for manufacturing internal cooling drill bits. The primary requirements for internal cooling drill bits are high hardness and high wear resistance, which helps improve processing efficiency, extend service life, and handle the processing of difficult materials. Therefore, the alloy rod also needs to possess high hardness and high wear resistance. For alloy rods, the key factor affecting their hardness and wear resistance is their density, i.e., the porosity within the alloy rod. The lower the porosity, the better the density of the alloy rod, thus exhibiting superior hardness and wear resistance. However, during the preparation of alloy rods, it is not easy to detect the internal porosity to measure their quality. The porosity testing of alloy rods typically relies on experimental methods such as BET, making it difficult to adapt to industrial production rates. In contrast, density is the mass per unit volume of a substance; the lower the density per unit volume, the larger the volume. For alloy rods, this means that there are more pores inside. Therefore, in this embodiment of the invention, by detecting the green density of the alloy rod, the invention explores whether its processing is disturbed, and optimizes and corrects based on the disturbance. By using the average green density of the alloy rod, this embodiment of the invention can comprehensively measure the overall situation of the green density of the alloy rod, providing a clear direction for subsequent adjustments to processing parameters and reducing resource waste and processing errors that may result from blind adjustments.

[0078] Specifically, the process by which the analysis module determines whether the current state is in the first state based on the average density of the alloy bar green stock includes:

[0079] The analysis module obtains the average density A of the green alloy bar and compares it with the preset average density A1 of the green alloy bar, wherein the preset average density A1 of the green alloy bar is set to be 50%-70% of the finished density of the alloy bar.

[0080] If the average density A of the alloy bar green stock is less than the preset average density A1 of the alloy bar green stock, the analysis module determines that the current state is the first state, that is, the current average density A of the alloy bar green stock does not meet the requirements. The analysis module combines the density variance of the alloy bar green stock to determine the reason why the density of the alloy bar green stock is unqualified.

[0081] Furthermore, the analysis module is used to determine the reason for the non-compliance of the density of the alloy bar blank based on the variance of the density of the alloy bar blank, and, when the first reason is determined, to correct the extrusion pressure based on the difference between the density variance of the alloy bar blank and the preset density variance of the alloy bar blank.

[0082] The variance of the green density of the alloy rod refers to the variance of the density at different sites on the green alloy rod.

[0083] Specifically, the process by which the analysis module determines the reason for the unqualified density of the alloy bar green stock based on the variance of the green stock density includes:

[0084] The analysis module obtains the variance B of the green density of the alloy bar and compares it with the first preset variance B1 and the second preset variance B2 of the green density of the alloy bar. In principle, the specific values ​​of the first preset variance B1 and the second preset variance B2 of the green density of the alloy bar are not limited and can be derived from the actual situation and the patterns of historical data.

[0085] If the density variance B of the alloy rod green stock is greater than the second preset density variance B2, the analysis module determines that the current reason is the first reason why the density of the alloy rod green stock does not meet the standard. That is, there may be a problem in the extrusion molding process, which leads to large density fluctuations between points of the prepared alloy rod green stock, thus exhibiting a density variance B greater than the second preset density variance B2. Extrusion molding is a key step in the processing of cemented carbide rods. In this process, parameters such as extrusion pressure, extrusion speed, and mandrel rotation speed have a crucial impact on the density distribution of the green stock. When the extrusion molding process is not precisely controlled, it may lead to extremely uneven density distribution inside the green stock, thereby increasing the density variance. Therefore, in this embodiment of the invention, the density variance of the alloy rod green stock is used to determine the reason why the density of the alloy rod green stock does not meet the requirements, and targeted corrections are made. Through this intelligent correction mechanism based on density variance, fine control of the processing process can be achieved, making the density distribution of the alloy rod green stock more uniform and meeting the strict requirements of subsequent processing and use for product performance.

[0086] Furthermore, the analysis module is used to increase the extrusion pressure based on the variance difference of the alloy bar green billet, and the increase in extrusion pressure is proportional to the variance difference of the alloy bar green billet.

[0087] The variance difference of the alloy rod blank refers to the difference between the density variance of the alloy rod blank and the preset density variance of the alloy rod blank. During the processing of double-helix hole cemented carbide rods, the variance difference of the alloy rod blank can accurately reflect the gap between the density uniformity and the preset standard during the current extrusion molding process. By increasing the extrusion pressure proportionally based on the variance difference of the alloy rod blank, it can be ensured that appropriate pressure can be applied under different deviation levels to improve density uniformity. This can effectively solve the problem of high porosity of the alloy rod blank, and avoid unnecessary damage to the equipment or other adverse effects on the product due to excessive pressure, thereby improving the stability of the processing process and the controllability of product quality.

[0088] Please see Figure 3 The diagram shows a flowchart illustrating the increase in extrusion pressure based on the variance difference of the alloy bar green billet in an embodiment of the present invention. The process by which the analysis module increases the extrusion pressure based on the variance difference of the alloy bar green billet includes:

[0089] The analysis module obtains the variance difference value C of the alloy bar green blank, and compares the variance difference value C of the alloy bar green blank with the set first variance difference value C1 and second variance difference value C2 of the alloy bar green blank, wherein the first variance difference value C1 is set to [0.05, 0.2), and the second variance difference value C2 is set to [0.2, 0.5].

[0090] If the variance difference C of the alloy bar billet is less than or equal to the variance difference C1 of the first alloy bar billet, then the analysis module uses the first pressure correction threshold α1 to correct the extrusion pressure F. The corrected extrusion pressure F' = F × α1, where the first pressure correction threshold α1 is set to 1.04.

[0091] If the variance difference C of the alloy bar blank is greater than the variance difference C1 of the first alloy bar blank and less than or equal to the variance difference C2 of the second alloy bar blank, then the analysis module uses the second pressure correction threshold α2 to correct the extrusion pressure F. The corrected extrusion pressure F' = F × α2, where the second pressure correction threshold α2 is set to 1.1.

[0092] If the variance difference C of the alloy bar green billet is greater than the variance difference C2 of the second alloy bar green billet, then the analysis module uses the third pressure correction threshold α3 to correct the extrusion pressure F. The corrected extrusion pressure F' = F × α3, where the third pressure correction threshold α3 is set to 1.17.

[0093] Furthermore, the analysis module is used to increase the extrusion speed based on the extrusion pressure difference, and the increase in extrusion speed is proportional to the extrusion pressure difference.

[0094] When the extrusion pressure increases, the deformation resistance of the paste through the die increases. If the original extrusion speed is maintained, the paste may accumulate, which may lead to quality problems such as spiral angle deformation. The extrusion pressure difference is the difference between the corrected extrusion pressure and the original extrusion pressure. Based on the extrusion pressure difference, the extrusion speed can be appropriately increased to allow the paste to pass through the die more smoothly and avoid spiral deformation and other problems caused by accumulation.

[0095] Specifically, the process by which the analysis module increases the extrusion speed based on the extrusion pressure difference includes:

[0096] The analysis module obtains the extrusion pressure difference value E and compares the extrusion pressure difference value E with the set first extrusion pressure difference value E1 and second extrusion pressure difference value E2, wherein the first extrusion pressure difference value E1 is set to [5, 30MPa) and the second extrusion pressure difference value E2 is set to [30, 50MPa].

[0097] If the extrusion pressure difference E is less than or equal to the first extrusion pressure difference E1, the analysis module uses the first extrusion speed correction threshold β1 to correct the extrusion speed V. The corrected extrusion speed V = V' × β1, where the first extrusion speed correction threshold β1 is set to 1.02.

[0098] If the extrusion pressure difference E is greater than the first extrusion pressure difference E1 and less than or equal to the second extrusion pressure difference E2, then the analysis module uses the second extrusion speed correction threshold β2 to correct the extrusion speed V. The corrected extrusion speed V = V' × β2, where the second extrusion speed correction threshold β2 is set to 1.05.

[0099] If the extrusion pressure difference E is greater than the second extrusion pressure difference E2, the analysis module uses the third extrusion speed correction threshold β3 to correct the extrusion speed V. The corrected extrusion speed V = V' × β3, where the third extrusion speed correction threshold β3 is set to 1.09.

[0100] Furthermore, the analysis module is used to increase the rotational speed of the mandrel based on the extrusion speed difference, and the increase in the rotational speed of the mandrel is proportional to the extrusion speed difference;

[0101] The mandrel rotation speed determines the helical lead, and the extrusion speed controls the axial movement. Both work together to affect the hole wall thickness. When the extrusion speed changes, if the mandrel rotation speed is not adjusted accordingly, it may lead to uneven hole wall thickness, affecting product quality. The extrusion speed difference is the difference between the corrected extrusion speed and the original extrusion speed. Increasing the mandrel rotation speed based on the extrusion speed difference, and making the increase in the mandrel rotation speed proportional to the extrusion speed difference, can ensure the coordination between the corrected extrusion speed and the mandrel rotation speed, thereby ensuring the uniformity of the hole wall thickness.

[0102] Specifically, the process by which the analysis module increases the rotational speed of the mandrel based on the extrusion speed difference includes:

[0103] The analysis module obtains the extrusion speed difference G and compares the extrusion speed difference G with the set first extrusion speed difference G1 and second extrusion speed difference G2, wherein the first extrusion speed difference G1 is set to [0.3, 0.5 mm / min) and the second extrusion speed difference G2 is set to [0.5, 0.9 mm / min].

[0104] If the extrusion speed difference G is less than or equal to the first extrusion speed difference G1, the analysis module uses the first core rod correction threshold μ1 to correct the core rod rotation speed H. The corrected core rod rotation speed H' = H × μ1, and the first core rod correction threshold μ1 is set to 1.02.

[0105] If the extrusion speed difference G is greater than the first extrusion speed difference G1 and less than or equal to the second extrusion speed difference G2, then the analysis module uses the second core rod correction threshold μ2 to correct the core rod rotation speed H. The corrected core rod rotation speed H' = H × μ2, and the second core rod correction threshold μ2 is set to 1.05.

[0106] If the extrusion speed difference G is greater than the second extrusion speed difference G2, the analysis module uses the third core rod correction threshold μ3 to correct the core rod rotation speed H. The corrected core rod rotation speed H' = H × μ3, and the third core rod correction threshold μ3 is set to 1.09.

[0107] Furthermore, the analysis module is used to detect whether the average density of the alloy bar green stock after correcting the extrusion molding parameters is in a first state, and, when it is determined to be in the first state, to increase the extrusion temperature based on the difference in mandrel rotation speed, wherein the increase in extrusion temperature is proportional to the difference in mandrel rotation speed.

[0108] After correcting the extrusion pressure, extrusion speed, and mandrel rotation speed, processing continues, and the average density of the prepared alloy rod green stock is checked to see if it remains in the first state. If it remains in the first state, it indicates that the current density not meeting requirements may be due to improper extrusion temperature. When the extrusion pressure is increased, the deformation resistance of the paste through the die will increase accordingly. If it remains in the first state after modifying the extrusion speed, it means that simply modifying the extrusion speed and mandrel rotation speed cannot fully avoid the influence of deformation resistance. In this case, increasing the extrusion temperature enhances the fluidity of the raw material, allowing it to better fill the die during extrusion, thereby forming a uniform and dense green stock. Since changes in the mandrel rotation speed affect the extrusion process of the alloy rod, when the mandrel rotation speed increases... During extrusion, the shear force and agitation of the alloy rod increase, which alters its microstructure and affects its flowability and density. Therefore, this invention uses a mandrel rotation speed difference to correct the extrusion temperature. This difference is the ratio of the corrected mandrel rotation speed to the original mandrel rotation speed. The extrusion temperature is increased based on this difference, with the increase proportional to the mandrel rotation speed difference. This effectively solves the problem of changes in extrusion pressure, extrusion speed, and mandrel rotation speed affecting the flowability of the billet, ensuring optimal flowability under different conditions. This improves product quality stability and consistency, avoiding defects caused by insufficient billet flowability.

[0109] The analysis module is used to detect whether the average density of the alloy bar green stock is in the first state based on the corrected extrusion molding parameters. The process includes:

[0110] The analysis module obtains the average density A of the alloy rod green stock after correcting the extrusion molding parameters, and compares the average density A of the alloy rod green stock with the preset average density A1 of the alloy rod green stock, wherein the preset average density A1 of the alloy rod green stock is 50%-70% of the density of the finished alloy rod.

[0111] If the average density A of the alloy rod green stock is less than the preset average density A1 of the alloy rod green stock, the analysis module determines that the current state is the first state, and the analysis module increases the extrusion temperature based on the difference in mandrel rotation speed.

[0112] Specifically, the process by which the analysis module increases the extrusion temperature based on the difference in mandrel rotation speed includes:

[0113] The analysis module obtains the core rod rotation speed difference value K, and compares the core rod rotation speed difference value K with the set first core rod rotation speed difference value K1 and second core rod rotation speed difference value K2, wherein the first core rod rotation speed difference value K1 is set to [3, 10 rpm), and the second core rod rotation speed difference value K2 is set to [10, 20 rpm].

[0114] If the difference in the rotational speed of the mandrel K is less than or equal to the difference in the rotational speed of the first mandrel K1, then the analysis module uses the first extrusion temperature correction threshold η1 to correct the extrusion temperature T, and the corrected extrusion temperature T' = T × η1, where the first extrusion temperature correction threshold η1 is set to 1.04.

[0115] If the difference in the rotational speed of the mandrel is greater than the difference in the rotational speed of the first mandrel K1 and less than or equal to the difference in the rotational speed of the second mandrel K2, then the analysis module uses the second extrusion temperature correction threshold η2 to correct the extrusion temperature T. The corrected extrusion temperature T' = T × η2, where the second extrusion temperature correction threshold η2 is set to 1.9.

[0116] If the difference in the rotational speed of the mandrel K is greater than the difference in the rotational speed of the second mandrel K2, then the analysis module uses the third extrusion temperature correction threshold η3 to correct the extrusion temperature T. The corrected extrusion temperature T' = T × η3, where the third extrusion temperature correction threshold η3 is set to 1.15.

[0117] Furthermore, the analysis module is used to determine the reason for the non-compliance of the green density of the alloy bar based on the variance of the green density of the alloy bar, and, when the second reason is determined, to correct the cryogenic nitrogen flow rate based on the difference between the average value of the green density of the alloy bar and the preset average value of the green density of the alloy bar.

[0118] Specifically, the process by which the analysis module determines the reason for the unqualified density of the alloy bar green stock based on the variance of the green stock density includes:

[0119] The analysis module obtains the variance B of the green density of the alloy bar and compares it with the first preset variance B1 and the second preset variance B2 of the green density of the alloy bar. In principle, the specific values ​​of the first preset variance B1 and the second preset variance B2 of the green density of the alloy bar are not limited and can be derived from the actual situation and the patterns of historical data.

[0120] If the variance B of the green density of the alloy rod is greater than the first preset variance B1 and less than or equal to the second preset variance B2, the analysis module determines that the green density of the alloy rod does not meet the standard due to the second reason. That is, the green density of the alloy rod is unqualified, but its density fluctuation is not large. This situation may be due to insufficient mixing during the mixing process. Therefore, this invention corrects the cryogenic nitrogen flow rate during cryogenic treatment based on the difference between the average green density of the alloy rod and the set preset average green density of the alloy rod. By controlling the cryogenic nitrogen flow rate, the cooling rate during cryogenic treatment can be effectively controlled, thereby promoting the precipitation of nano-carbides at the grain boundaries, filling the micro-voids, thereby reducing porosity and improving the density and strength of the product, so as to solve the problem of high porosity caused by insufficient mixing at the beginning.

[0121] The analysis module is used to reduce the cryogenic nitrogen flow rate based on the difference in the average density of the alloy bar green stock. The reduction in cryogenic nitrogen flow rate is proportional to the difference in the average density of the double-helix hole cemented carbide bar green stock.

[0122] Reducing the nitrogen flow rate can decrease the cooling rate, allowing sufficient time for nano-carbide to precipitate at the grain boundaries and fill microscopic voids, thereby reducing porosity and improving the density and strength of the product. The difference in the average density of the alloy rod green stock is the difference between the average density of the alloy rod green stock and the preset average density. Reducing the nitrogen flow rate based on the difference in the average density of the double-helix hole cemented carbide rod green stock, and the reduction in nitrogen flow rate being proportional to the difference in the average density, can effectively reduce porosity while avoiding the generation of thermal stress cracks.

[0123] Please see Figure 4 The diagram shows a flowchart illustrating the reduction of cryogenic nitrogen flow rate based on the difference in average density of alloy bar green stock in an embodiment of the present invention. The process by which the analysis module reduces the cryogenic nitrogen flow rate based on the difference in average density of alloy bar green stock includes:

[0124] The analysis module obtains the average difference M of the green density of the alloy rod and compares it with the set average difference M1 of the green density of the first alloy rod and the average difference M2 of the green density of the second alloy rod. The average difference M1 of the green density of the first alloy rod is set to 10% of the density of the finished alloy rod, and the average difference M2 of the green density of the second alloy rod is set to 20% of the density of the finished alloy rod.

[0125] If the average difference M of the green density of the alloy rod is less than or equal to the average difference M1 of the green density of the first alloy rod, then the analysis module uses the first liquid nitrogen correction threshold ε1 to correct the cryogenic nitrogen flow rate N, and the corrected cryogenic nitrogen flow rate N' = N × ε1, where the first liquid nitrogen correction threshold ε1 is set to 0.98.

[0126] If the average difference M of the green density of the alloy rod is greater than the average difference M1 of the green density of the first alloy rod and less than or equal to the average difference M2 of the green density of the second alloy rod, then the analysis module uses the second liquid nitrogen correction threshold ε2 to correct the cryogenic nitrogen flow rate N. The corrected cryogenic nitrogen flow rate N' = N × ε2, where the second liquid nitrogen correction threshold ε2 is set to 0.95.

[0127] If the average difference M of the green density of the alloy rod is greater than the average difference M2 of the green density of the second alloy rod, then the analysis module uses the third liquid nitrogen correction threshold ε3 to correct the cryogenic nitrogen flow rate N. The corrected cryogenic nitrogen flow rate N' = N × ε3, where the third liquid nitrogen correction threshold ε3 is set to 0.91.

[0128] Furthermore, the analysis module is used to extend the cryogenic insulation time based on the nitrogen flow rate difference, and the increase in cryogenic insulation time is proportional to the nitrogen flow rate difference;

[0129] The nitrogen flow rate difference is the difference between the cryogenic nitrogen flow rate before correction and the cryogenic nitrogen flow rate after correction.

[0130] During cryogenic treatment, appropriately extending the holding time allows for more complete phase transformation and precipitation processes within the alloy rod, promoting more thorough pore closure at low temperatures and thus reducing porosity. Simultaneously, extending the holding time also coordinates with the cooling rate, resulting in a more uniform temperature distribution within the alloy rod, effectively reducing uneven pore distribution caused by temperature gradients. In this invention, the analysis module extends the cryogenic holding time based on the nitrogen flow rate difference, ensuring that the increase in holding time is proportional to the nitrogen flow rate difference. This guarantees the coordinated change between holding time and nitrogen flow rate while avoiding a decrease in processing efficiency due to excessively extended holding time. This optimizes the porosity of the alloy rod, improves its performance, and ensures processing efficiency.

[0131] Specifically, the process by which the analysis module extends the cryogenic holding time based on the nitrogen flow difference includes:

[0132] The analysis module obtains the nitrogen flow rate difference P and compares the nitrogen flow rate difference P with the set first nitrogen flow rate difference P1 and second nitrogen flow rate difference P2, wherein the first nitrogen flow rate difference P1 is set to [0.4, 0.8 L / min) and the second nitrogen flow rate difference P2 is set to [0.8, 1.2 L / min].

[0133] If the nitrogen flow rate difference P is less than or equal to the first nitrogen flow rate difference P1, the analysis module uses the first cryogenic insulation time correction threshold θ1 to correct the cryogenic insulation time. The corrected cryogenic insulation time R = R × θ1, where the first cryogenic insulation time correction threshold θ1 is set to 1.1.

[0134] If the nitrogen flow rate difference P is greater than the first nitrogen flow rate difference P1 and less than or equal to the second nitrogen flow rate difference P2, then the analysis module uses the second cryogenic insulation time correction threshold θ2 to correct the cryogenic insulation time. The corrected cryogenic insulation time R = R × θ2, where the second cryogenic insulation time correction threshold θ2 is set to 1.23.

[0135] If the nitrogen flow rate difference P is greater than the second nitrogen flow rate difference P2, the analysis module uses the third cryogenic insulation time correction threshold θ3 to correct the cryogenic insulation time. The corrected cryogenic insulation time R = R × θ3, where the third cryogenic insulation time correction threshold θ3 is set to 1.35.

[0136] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. An intelligent machining system for cemented carbide bars with double helical holes, characterized in that, include, The processing parameter construction module is used to extract the corresponding processing parameters based on the alloy bar model, including mixing parameters, extrusion molding parameters, dewaxing parameters, calcination parameters, and cryogenic treatment parameters. A mixing module, which is connected to the processing parameter construction module, is used to mix materials based on the parameters output by the processing parameter construction module; An extrusion molding control module, which is connected to the processing parameter construction module, is used to prepare alloy bar green blanks based on the parameters output by the processing parameter construction module; A dewaxing and pre-firing control module, which is connected to the processing parameter construction module, is used to dewax and pre-firing alloy rod green billets based on the parameters output by the processing parameter construction module to prepare alloy rod precursors; A cryogenic treatment control module, which is connected to the processing parameter construction module, is used to perform cryogenic treatment on the alloy bar precursor based on the parameters output by the processing parameter construction module. The acquisition module includes several gamma-ray densitometers, which are used to acquire the density at different locations on the green alloy bar billet; A calculation module, which is connected to the acquisition module, is used to calculate the acquired parameters; An analysis module, connected to the calculation module, is used to determine the processing state based on the density of the alloy bar billet, and to correct the extrusion pressure, extrusion speed, mandrel rotation speed, extrusion temperature, cryogenic nitrogen flow rate, and cryogenic holding time based on the processing state. A control module, which is connected to the analysis module, the extrusion molding control module and the cryogenic treatment control module, is used to schedule the corresponding modules based on the instructions output by the analysis module; The analysis module is used to determine whether the current state is in the first state based on the average density of the alloy bar billet, and when the state is determined to be in the first state, to determine the reason for the non-compliance of the density of the alloy bar billet based on the density variance of the alloy bar billet, wherein the first state is that the average density of the alloy bar billet is less than the preset average density of the alloy bar billet. The analysis module is used to determine the reason for the non-compliance of the density of the alloy bar billet based on the variance of the density of the alloy bar billet, and, when the first reason is determined, to adjust the extrusion pressure based on the difference between the density variance of the alloy bar billet and the preset density variance of the alloy bar billet, or, when the second reason is determined, to adjust the cryogenic nitrogen flow rate based on the difference between the average density of the alloy bar billet and the preset average density of the alloy bar billet, wherein the first reason is that the density variance of the alloy bar billet is greater than the second preset density variance of the alloy bar billet, and the second reason is that the density variance of the alloy bar billet is greater than the first preset density variance of the alloy bar billet and less than or equal to the second preset density variance of the alloy bar billet; Wherein, the average density of the alloy bar billet is the average density at different locations of the alloy bar billet, and the variance of the alloy bar billet density refers to the variance of the density at different locations of the alloy bar billet.

2. The intelligent machining system for double-helix hole cemented carbide bars according to claim 1, characterized in that, The analysis module is used to increase the extrusion pressure based on the variance difference of the alloy bar billet, and the increase in extrusion pressure is proportional to the variance difference of the alloy bar billet. The variance difference of the alloy bar billet refers to the difference between the density variance of the alloy bar billet and the preset density variance of the alloy bar billet.

3. The intelligent machining system for double-helix hole cemented carbide bars according to claim 2, characterized in that, The analysis module is used to increase the extrusion speed based on the extrusion pressure difference, and the increase in extrusion speed is proportional to the extrusion pressure difference. The extrusion pressure difference is the difference between the corrected extrusion pressure and the original extrusion pressure.

4. The intelligent machining system for double-helix hole cemented carbide bars according to claim 3, characterized in that, The analysis module is used to increase the rotational speed of the mandrel based on the extrusion speed difference, and the increase in the rotational speed of the mandrel is proportional to the extrusion speed difference. The extrusion speed difference is the difference between the corrected extrusion speed and the original extrusion speed.

5. The intelligent machining system for double-helix hole cemented carbide bars according to claim 4, characterized in that, The analysis module is used to detect whether the average density of the alloy bar billet after correcting the extrusion molding parameters is in a first state, and when it is determined to be in the first state, to increase the extrusion temperature based on the difference in mandrel rotation speed, wherein the increase in extrusion temperature is proportional to the difference in mandrel rotation speed. The difference in the rotational speed of the core rod is the difference between the corrected rotational speed of the core rod and the original rotational speed of the core rod.

6. The intelligent machining system for double-helix hole cemented carbide bars according to claim 1, characterized in that, The analysis module is used to reduce the cryogenic nitrogen flow rate based on the difference in the average density of the green alloy bar. The reduction in cryogenic nitrogen flow rate is proportional to the difference in the average density of the green alloy bar with double helix holes. The difference in the average density of the alloy bar billet is the difference between the average density of the alloy bar billet and the preset average density of the alloy bar billet.

7. The intelligent machining system for double-helix hole cemented carbide bars according to claim 6, characterized in that, The analysis module is used to extend the cryogenic insulation time based on the nitrogen flow difference, and the increase in cryogenic insulation time is proportional to the nitrogen flow difference. The nitrogen flow rate difference is the difference between the cryogenic nitrogen flow rate before correction and the cryogenic nitrogen flow rate after correction.

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