Filtering pressure value characterization method and device for dispersibility of water-based ink

Abstract

The invention discloses a filtering pressure value characterization method and device for dispersibility of water-based ink. The method comprises the following steps: standing a water-based ink sample to be detected at 23 + / -2 DEG C for 30-60 minutes to achieve temperature balance; installing a filter membrane with the aperture of 0.1-50 microns, checking the sealing property, determining a baseline pressure value through a standard carrier liquid, filtering the sample at the constant flow of 1-100 mL / min, and collecting a pressure curve in real time; automatically identifying a steady-state interval by adopting a sliding window variance criterion, recording steady-state pressure and calculating a pressure rise rate (dP / dt) ss; calculating a relative pressure growth rate D, pressure recovery time Tr and a pressure curve integral value AUC; and calculating the dispersity index DI according to D, (dP / dt) ss, Tr and AUC. According to the method, the real-time, quantification and standardization of dispersive evaluation are realized, and the problems that the single-point criterion information amount is insufficient and the steady-state judgment depends on manpower in the existing method are effectively solved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of ink performance test, and particularly relates to a water-based ink dispersion filtration pressure value characterization method and device. BACKGROUND

[0002] The water-based ink is a multi-phase system formed by a pigment in a water-based dispersion medium, and the dispersion directly affects the ink stability, jet / transfer smoothness, and product appearance and durability. Existing dispersion evaluation methods mainly include particle size / particle size distribution measurement, Zeta potential analysis, rheological characterization, sedimentation / transmittance monitoring, and filtration plugging tests.

[0003] Existing filtration methods mostly use a single-point end value (such as the end pressure, flux, or time) under constant pressure or constant flow conditions as a criterion, which is difficult to reflect the dynamic information of the filtration process, and has insufficient distinction for early plugging, reversible / irreversible blocking, flocculation-redispersion, and other behaviors. The steady-state determination in the prior art relies on manual observation or fixed time setting, and has poor reproducibility under different formulations, different noise levels, and different working conditions; there is a lack of unified normalization and baseline calibration mechanism under different filter membrane pore sizes, filtration volumes, and flow conditions, resulting in insufficient cross-condition comparability; the existing methods generally lack a quantitative framework for integrating multi-dimensional kinetic characteristics into a single index, and it is difficult to form an objective and consistent dispersion grade standard in the research and development and quality control links. SUMMARY

[0004] To solve the problems of insufficient information quantity of single-point criterion, manual steady-state determination, poor cross-condition comparability, and lack of unified quantitative index in the dispersion evaluation method in the prior art, the application provides a water-based ink dispersion filtration pressure value characterization method and device.

[0005] Specifically, the first aspect of the application provides a water-based ink dispersion filtration pressure value characterization method, which comprises: Obtaining a water-based ink sample to be tested, and standing for 30-60 minutes at 23±2 DEG C to achieve temperature balance for testing; Preparing a filtration system, installing a filter membrane with a pore size of 0.1-50 μm, checking the sealing, and determining the initial baseline pressure value by using a standard carrier liquid Filtering the sample at a constant flow rate of 1-100 mL / min, and collecting a pressure curve in real time; Based on the pressure curve, using a sliding window variance criterion to automatically identify a steady-state interval, and recording a steady-state pressure in the interval And a maximum pressure P_max in the filtration process, calculating a pressure rise rate (dP / dt)_ss of the steady-state interval; Calculating a relative pressure growth rate and the pressure recovery time Tr and the pressure curve integral value AUC are combined as a comprehensive dispersibility index, wherein the AUC is an integral area under the condition of filtration volume normalization; A dispersibility index DI is calculated according to D, (dP / dt)_ss, Tr and AUC, and the smaller the DI value is, the better the dispersibility is.

[0006] By adopting the technical solution, the pressure curve is collected in real time under the constant flow filtration condition, the steady state interval is automatically identified, the multi-dimensional kinetic characteristic parameters are extracted, and the unified dispersibility index DI is formed by fusion, so that the dispersibility of the water-based ink can be accurately represented, the change from the single point final value to the whole process dynamic evaluation is realized, and the objectivity, accuracy and standardization degree of the dispersibility evaluation are greatly improved.

[0007] In a preferred example, the application can be further configured to: the identification of the steady state interval adopts an adaptive algorithm, and the steady state interval is automatically determined based on the variance of 5-10 data points in a sliding window being less than or equal to a preset threshold.

[0008] By adopting the technical solution, the steady state interval is automatically identified by using the sliding window variance criterion, the subjectivity of manual determination or fixed time setting is avoided, the changes of different formulations and noise levels can be adapted, and the objectivity and reproducibility of the steady state parameter extraction are ensured.

[0009] In a preferred example, the application can be further configured to: the pressure recovery time Tr is the time required for the pressure peak value P_max to drop to 1.1x the preset threshold value, which indicates that the ink dispersion system has flocculation-redispersion hysteresis.

[0010] By adopting the technical solution, the pressure recovery time Tr is defined to represent the redispersion hysteresis behavior after disturbance, the anti-flocculation ability and stability of the ink in actual use can be effectively evaluated, and the representation ability of the method for dynamic dispersibility is enhanced.

[0011] In a preferred example, the application can be further configured to: the calculation formula of the dispersibility index DI is: , wherein is a preset weight coefficient, and (dP / dt)_ss is the pressure rise rate in the steady state interval.

[0012] By adopting the technical solution, the multi-dimensional kinetic characteristic parameters are weighted and fused into a single dispersibility index DI, the transformation from the complex pressure curve to the simple quantitative index is realized, the key technical information is retained, the rapid determination and horizontal comparison are facilitated, and a unified quantitative framework is provided for the standardized evaluation of the dispersibility of the water-based ink.

[0013] In a preferred example, the present application can be further configured as follows: establishing a classification standard for dispersion levels. When DI ≤ threshold 1, it is determined as excellent dispersion; when threshold 1 < DI ≤ threshold 2, it is determined as good dispersion; when DI > threshold 2, it is determined as poor dispersion. Wherein, the threshold 1 and threshold 2 are numerical ranges determined through testing with standard samples and ROC curve analysis.

[0014] By adopting the above technical solution, a classification standard for dispersion levels based on the DI value is established, converting continuous numerical indicators into intuitive quality level judgments, facilitating rapid evaluation of formula performance by R & D personnel and qualified judgments by quality control personnel, and achieving an effective connection from quantitative testing to qualitative evaluation.

[0015] The second aspect of the present application provides a device for characterizing the filtration pressure value of the dispersion of water-based ink, including: a sample pretreatment module for containing the water-based ink sample and achieving temperature equilibrium; a filtration module including a constant flow supply system and a filtration component with a replaceable filter membrane; a detection module including a pressure sensor with an accuracy not lower than ±0.1 kPa and a response time ≤ 1 s, and a flow controller with an accuracy not lower than ±2%; a processing module including a data acquisition unit and an algorithm processing unit for real-time collecting pressure curves, automatically identifying the steady-state interval, calculating D, Tr, and AUC, and outputting the dispersion index DI and the dispersion level.

[0016] In a preferred example, the present application can be further configured as follows: the algorithm processing unit includes an adaptive steady-state recognition module, a baseline pressure self-calibration module, and a curve area normalization module for eliminating the differences between different filter membranes and different batches of samples.

[0017] By adopting the above technical solution, a dedicated algorithm processing module is configured to achieve full-automatic processing from raw data to standardized results, effectively eliminating the influence of human factors and differences in test conditions, and significantly improving the consistency and reproducibility of test results.

[0018] In a preferred example, the present application can be further configured as follows: the filtration component adopts a design of a replaceable filter membrane with coding recognition, and the algorithm processing unit can read the filter membrane pore size information.

[0019] By adopting the above technical solution, automatic reading of filter membrane information and intelligent matching of parameters are achieved, avoiding manual recording and input errors, and improving the convenience of operation and the standardization of testing.

[0020] In a preferred example, the present application can be further configured as follows: the processing module includes a display screen and a data interface. The display screen is used for real-time displaying of pressure curves, the dispersion index DI, and the grade judgment result; the data interface is used for uploading the test results to the information management system.

[0021] By adopting the above technical solutions, the testing process is visualized and the test results are managed in an information-based manner. Operators can monitor the test status in real time and quickly interpret the results, providing strong support for quality control and process optimization.

[0022] In a preferred embodiment, the system can be further configured such that the processing module dynamically adjusts the output of the flow controller based on the real-time pressure curve to ensure constant flow accuracy and reduce experimental errors.

[0023] By adopting the above technical solutions, precise flow control and intelligent adjustment of the testing process are achieved, effectively reducing the interference of flow fluctuations on the pressure curve and improving the accuracy and reliability of test data.

[0024] The beneficial effects of this invention are as follows: This application acquires pressure curves in real time under constant flow filtration conditions, uses an adaptive algorithm to automatically identify steady-state intervals, extracts multidimensional kinetic characteristic parameters, and fuses them to form a unified dispersibility index (DI). This accurately characterizes the dispersibility performance of water-based inks, realizing the transformation from single-point final values ​​to dynamic evaluation throughout the entire process, from manual judgment to automatic identification, and from multidimensional parameters to a single index. This greatly improves the objectivity, accuracy, and standardization of water-based ink dispersibility evaluation. Attached Figure Description

[0025] Figure 1 A schematic flowchart of a method for characterizing the filtration pressure value of water-based ink dispersibility provided by the present invention; Figure 2 This is a schematic diagram of a filtration pressure value characterization device for the dispersibility of water-based inks provided by the present invention. Detailed Implementation

[0026] The following is in conjunction with the appendix Figure 1 - Appendix Figure 2 This application will be described in further detail.

[0027] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application.

[0028] It should be understood that although the terms first, second, third, etc., may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0029] It should be noted that, in the optional embodiments of this application, the data related to object information, when applied to specific products or technologies, requires the permission or consent of the object. Furthermore, the collection, use, and processing of this data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. In other words, if the embodiments of this application involve data related to an object, it must be obtained with the object's authorization and consent, the authorization and consent of relevant departments, and in accordance with the relevant laws, regulations, and standards of the country and region. If the embodiments involve personal information, the acquisition of all personal information requires the individual's consent. If sensitive information is involved, the separate consent of the information subject is required. The embodiments also need to be implemented with the object's authorization and consent.

[0030] The following specific embodiments are given to illustrate the technical solution of this application in detail.

[0031] This application provides a method for characterizing the filtration pressure value of water-based ink dispersibility, such as... Figure 1 As shown, the method provided in this embodiment is executed by a dedicated testing device. This testing device can be a standalone benchtop testing instrument, an online testing system integrated into a production line, or an automated testing platform connected to an information management system. The testing device includes a filtration module, a pressure detection module, a flow control module, and a data processing module. These modules can be directly or indirectly connected via wired or wireless communication, and this embodiment does not impose any limitations on this.

[0032] It is known that the pressure change of water-based inks during the filtration process can reflect the particle dispersion state. Under constant flow conditions, by real-time monitoring of the dynamic change curve of filtration pressure, combined with steady-state interval identification and multi-dimensional feature parameter extraction, the dispersion performance of water-based inks can be accurately characterized.

[0033] The method for characterizing the filtration pressure value of water-based ink dispersibility provided in this application includes steps S10-S50, wherein: S10. Obtain the water-based ink sample to be tested and let it stand at 23±2℃ for 30-60 minutes to reach the test temperature equilibrium.

[0034] Specifically, the water-based ink sample is a fresh sample to be tested, with a sample volume of 50-200 mL. The water content of the sample is the mass of the water-based ink sample under natural conditions, which can be measured using a precision electronic balance and manually input into the testing equipment. The sample is placed in a constant temperature environment and allowed to stand at 23±2℃ for 30-60 minutes, preferably 45 minutes, to reach the test temperature equilibrium.

[0035] S20. Prepare the filtration system, install filter membranes with pore sizes of 0.1-50μm, check the seal, and determine the initial baseline pressure using a standard carrier liquid. Samples were filtered at a constant flow rate of 1-100 mL / min, and pressure curves were collected in real time.

[0036] Specifically, filter membranes with pore sizes of 0.1-50 μm are selected based on sample characteristics, with polyethersulfone membranes with pore sizes of 5 μm being preferred. A sealing test is performed to ensure the system is leak-free. The initial baseline pressure is measured using a standard carrier liquid (deionized water) at a set flow rate. The temperature of the standard carrier liquid is the same as that of the sample, the measurement time is not less than 5 minutes, and the average pressure during the steady-state phase is taken as the standard temperature. .

[0037] Specifically, a constant flow rate is set between 1 and 100 mL / min, preferably 20 mL / min, ensuring a flow control accuracy of ±2%. When the sample passes through the filtration system, a pressure sensor with a response time ≤1 s and an accuracy of ±0.1 kPa is used to collect pressure-time curve data in real time at a sampling frequency of 1 Hz. The cumulative filtration volume is also recorded. The filtration process continues until the cumulative volume reaches the set value or the pressure exceeds the safety limit.

[0038] One possible implementation of this application embodiment is to perform ultrasonic degassing on the sample before filtration for 3-5 minutes to eliminate interference from dissolved gases in the sample.

[0039] S30. Based on the pressure curve, the steady-state interval is automatically identified using the sliding window variance criterion, and the steady-state pressure is recorded within this interval. Given the maximum pressure P_max during the filtration process, calculate the pressure rise rate (dP / dt)_ss in the steady-state region.

[0040] Specifically, a sliding window variance criterion is used for automatic identification of steady-state intervals. The sliding window size is set to 5-10 consecutive data points, preferably 7 data points, and the window moves along the pressure curve with a single-point step size. The variance of the pressure values ​​within the window is calculated. When the variance of three consecutive windows is less than a preset threshold When the state is determined to be in a steady-state region, then... Preferred .

[0041] First, calculate the pressure variance within the sliding window. Let the pressure data within the window be... The window size is n, and the calculation formula is:

[0042] in This represents the average pressure within the window.

[0043] S40. Calculate the relative pressure growth rate. The pressure recovery time Tr and the integral value AUC of the pressure curve are combined as a comprehensive dispersion index, where AUC is the integral area under the normalized filter volume condition.

[0044] Specifically, among them For steady-state pressure, Define the initial baseline pressure. Define the pressure recovery time. Peak pressure Decreased to 1.1× The required time is used to characterize the flocculation-redispersion hysteresis behavior after filtration disturbance.

[0045] Specifically, the AUC is obtained by integrating the pressure curve under normalized filtration volume conditions. First, the pressure curve and baseline pressure are calculated. The original integral area AUC_raw between the two is then normalized by filtering the volume, and finally the dimensionless AUC parameter is obtained to quantify the cumulative drag effect throughout the process.

[0046] S50. Calculate the dispersion index DI based on D, (dP / dt)_ss, Tr and AUC. The smaller the DI value, the better the dispersion.

[0047] Specifically, DI is a weighted combination of the above multidimensional features. The obtained DI is compared with preset thresholds 1 and 2 to obtain the dispersion level of "excellent / good / poor", thus achieving standardized interpretation of the results.

[0048] This application embodiment, by precisely controlling filtration conditions, collecting pressure curve data in real time, and combining an adaptive steady-state identification algorithm and multi-dimensional feature parameter extraction, can accurately characterize the dispersion performance of water-based inks, greatly improving the objectivity and accuracy of water-based ink dispersion evaluation.

[0049] In one possible implementation of this application, the filter membrane pore size ranges from 0.1 to 50 μm, preferably 5 to 10 μm.

[0050] The embodiments of this application ensure the matching between the filter membrane pore size and the particle size of the water-based ink, which facilitates the generation of significant pressure changes during the filtration process. At the same time, the pore size range can effectively distinguish samples with different degrees of dispersion, thereby improving the discriminability and practicality of the dispersibility test results.

[0051] In one possible implementation of this application, the constant flow rate is 1-100 mL / min, preferably 10-50 mL / min.

[0052] The embodiments of this application ensure that the flow control can meet the constant flow accuracy requirements under different test conditions, thereby eliminating pressure measurement errors caused by flow fluctuations and improving the accuracy and reliability of characterizing dispersion using pressure changes.

[0053] In one possible implementation of this application, the steady-state interval is identified using an adaptive algorithm, which automatically determines the interval based on the variance of 5-10 data points in a sliding window being ≤ a preset threshold.

[0054] In this embodiment, the sliding window size is preferably 7 data points, and the variance threshold is... Preferred The raw pressure data is first filtered using a 3-point moving average to reduce high-frequency noise, and then a 7-point moving window is applied to calculate the variance. When the variance of three consecutive windows is less than... Mark the steady-state start point when the window variance exceeds 1.5× Or mark the steady-state endpoint when the rate of pressure rise exceeds 0.5 kPa / min.

[0055] The embodiments of this application employ an adaptive sliding window variance algorithm, which can accurately identify steady-state intervals under different noise levels and pressure change modes, avoiding the subjectivity of manual judgment and ensuring the objectivity and consistency of steady-state parameter extraction.

[0056] In one possible implementation of this application, the pressure recovery time Tr is the time from the pressure peak P_max decreasing to 1.1 × 10⁻⁶. The required time; when Tr is greater than the preset threshold, it indicates that there is flocculation-redispersion hysteresis in the ink dispersion system.

[0057] In this embodiment, the pressure peak P_max is the maximum pressure value that occurs throughout the entire filtration process, typically appearing in the initial stage of filtration or during transient clogging. The pressure recovery threshold is set to 1.1 × When the pressure drops from the peak to this threshold, the system is considered to have returned to a near-steady-state level. The preset threshold is preferably 5 minutes. When Tr > 5 minutes, it indicates that there is a strong tendency for flocculation or reversible aggregation structure in the dispersed system, and the redispersion ability is weak.

[0058] A possible implementation of the embodiment of the present application, the calculation formula of the dispersity index DI is: , where is a preset weight coefficient, and (dP / dt)_ss is the pressure rise rate in the steady state range.

[0059] In this embodiment, the weight coefficient is determined by the following method: Select 45 standard water-based ink samples (15 excellent, 15 good, 15 poor, covering acrylic, polyurethane, and water-based epoxy systems), measure the four parameters of D, (dP / dt)_ss, Tr, and AUC of each sample according to the method of the present invention, and use multiple discriminant analysis. With the dispersity grade as the target, the preferred range of the weight coefficient is optimized: , , , , and .

[0060] In the preferred implementation, take , , , . This weight combination can effectively distinguish samples of different dispersity grades.

[0061] In the embodiment of the present application, by weighting and combining multi-dimensional kinetic characteristic parameters into a single dispersity index DI, the conversion from a complex pressure curve to a simple quantitative index is realized. It not only retains the key information of pressure evolution but also facilitates quick judgment and horizontal comparison, providing a unified quantitative framework for the standardized evaluation of the dispersity of water-based inks.

[0062] A possible implementation of the embodiment of the present application is to establish a dispersity grade classification standard. When DI ≤ threshold 1, it is determined as excellent dispersity; when threshold 1 < DI ≤ threshold 2, it is determined as good dispersity; when DI > threshold 2, it is determined as poor dispersity.

[0063] In this embodiment, the value range of threshold 1 is 15 - 25, preferably 20; the value range of threshold 2 is 35 - 50, preferably 40. These thresholds are determined by testing standard water-based ink samples with known dispersity performance and using ROC curve analysis. When DI ≤ 20, the ink shows excellent ink supply stability and smooth jetting / transfer in actual application; when 20 < DI ≤ 40, the ink has good performance but may show slight instability during long-term or high-load use; when DI > 40, the ink has poor dispersity and is prone to problems such as clogging, sedimentation, or stratification.

[0064] In this embodiment, the threshold determination experiment involved selecting 45 standard water-based ink samples (15 excellent, 15 good, and 15 poor) from different production batches and formulation types, and testing them according to the method of this invention to obtain the DI value distribution: Excellent group: DI=8-22, average 15±4 Good group: DI = 18-42, mean 30±6 Poor group: DI = 35-68, mean 52±10 ROC curve analysis determined threshold 1 = 20 (sensitivity 92%, specificity 89%) and threshold 2 = 40 (sensitivity 88%, specificity 90%).

[0065] In one possible implementation of this application, the test temperature is controlled at 23±2℃, and the standing time is 30-60 minutes, preferably 45 minutes.

[0066] In this embodiment, a constant temperature water bath or incubator is used to equilibrate the sample, with temperature fluctuations not exceeding ±0.5℃. Violent vibration or stirring is avoided during the settling process to eliminate the internal temperature gradient and allow the dispersion system to reach equilibrium. The accuracy of temperature control directly affects the rheological properties and dispersion state of the ink; excessively high temperatures will reduce viscosity but may accelerate evaporation, while excessively low temperatures will increase viscosity but may affect the dispersant's effectiveness.

[0067] One possible implementation of this application embodiment includes a normalization method for the AUC comprising: calculating the pressure curve and the baseline pressure. Area integral between Normalize by the filtration volume V_filter: AUC_norm = AUC_raw / V_filter; obtain the dimensionless AUC parameter by dividing by the reference value 1 kPa·min / mL.

[0068] In this embodiment, the integral calculation employs the trapezoidal rule or Simpson's rule for numerical integration, with the integration interval spanning from the start of filtration to the end of filtration or reaching a preset volume. The filtration volume V_filter can be a fixed value (e.g., 100mL or 200mL) or the actual total filtration volume. Normalization ensures the comparability of AUC values ​​under different filtration volumes and times.

[0069] The filtration pressure value characterization method for the dispersibility of water-based inks provided in this application acquires pressure curves online and adaptively identifies steady-state intervals, extracts multidimensional dynamic characteristics and integrates them into a unified dispersibility index, thereby achieving real-time, quantitative and standardized dispersibility evaluation. The method is simple to operate, the results are objective and reliable, and the reproducibility is good. It is particularly suitable for formula optimization in the R&D process and quality control in the production process.

[0070] The above embodiments describe a method for characterizing the filtration pressure value of water-based ink dispersibility from the perspective of process flow. The following embodiments describe a device for characterizing the filtration pressure value of water-based ink dispersibility, as detailed in the following embodiments.

[0071] This application provides a device for characterizing the filtration pressure value of water-based ink dispersibility. The device may include: a sample pretreatment module, a filtration module, a detection module, and a processing module. The sample pretreatment module is used to hold water-based ink samples and complete temperature equilibration. The filtration module includes a constant flow supply system and a filter assembly with a replaceable filter membrane, with a flow rate adjustment range of 1-100 mL / min. The detection module includes a pressure sensor with an accuracy of not less than ±0.1 kPa and a response time of ≤1 s, and a flow controller with an accuracy of not less than ±2%. The processing module includes a data acquisition unit and an algorithm processing unit, configured with functions such as adaptive steady-state recognition, baseline pressure self-calibration, and curve area normalization, for online calculation of D, (dP / dt)_ss, Tr, and AUC, and outputting the dispersibility index DI and corresponding level.

[0072] To ensure data accuracy, the filter membrane used in the experiment and the filter assembly used in the calculation must be the same assembly.

[0073] In one possible implementation of this application, the algorithm processing unit includes an adaptive steady-state identification module, a baseline pressure self-calibration module, and a curve area normalization module, used to eliminate differences between different filter membranes and different batches of samples.

[0074] In this embodiment, the adaptive steady-state identification module uses a sliding window variance criterion, with a window size of 5-10 data points and a variance threshold of [value missing]. The baseline pressure self-calibration module automatically determines the baseline pressure using a standard carrier fluid before each test. The curve area normalization module normalizes the AUC based on the actual filter volume.

[0075] This application embodiment achieves fully automated processing from raw data to standardized results by configuring a dedicated algorithm processing module, effectively eliminating the influence of human factors and differences in test conditions, and significantly improving the consistency and reproducibility of test results.

[0076] In one possible implementation of this application, the filter assembly adopts a replaceable filter membrane design with coded identification, and the algorithm processing unit is able to read the filter membrane pore size information.

[0077] In this embodiment, the filter membrane is encoded using RFID tags, QR codes, or barcodes to record information such as pore size, batch number, and material. The algorithm processing unit can read and record the filter membrane information, facilitating result traceability and quality management.

[0078] This application embodiment, through the use of a replaceable filter membrane design with coded recognition, realizes automatic reading of filter membrane information and intelligent matching of parameters, avoiding manual recording and input errors, and improving the convenience of operation and the standardization of testing.

[0079] In one possible implementation of this application, the processing module includes a display screen and a data interface. The display screen is used to display the pressure curve, the dispersion index (DI), and the grade determination result in real time. The data interface is used to upload the test results to the information management system.

[0080] In this embodiment, the display screen is a touchscreen, capable of displaying pressure-time curves, steady-state range indicators, key parameter values, and level determination results in real time. The data interface supports USB, Ethernet, or WiFi connections, allowing for seamless integration with the information management system.

[0081] This application embodiment enables visualization of the testing process and information management of test results by configuring a display screen and data interface, allowing operators to monitor the test status in real time and quickly interpret the results.

[0082] In one possible implementation of this application, the system has a closed-loop control mode, and the processing module dynamically adjusts the output of the flow controller based on the real-time pressure curve to ensure constant flow accuracy and reduce experimental errors.

[0083] In this embodiment, the closed-loop control system employs a PID control algorithm to monitor the filtration pressure and actual flow rate in real time. When the flow rate deviates from the set value, the system automatically adjusts the pump speed or valve opening. When the pressure exceeds a preset safety threshold, the system automatically reduces the flow rate or stops filtration and issues an alarm.

[0084] This application embodiment achieves precise flow control and intelligent adjustment of the testing process by configuring a closed-loop control mode, effectively reducing the interference of flow fluctuations on the pressure curve and improving the accuracy of test data.

[0085] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0086] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for characterizing the filtration pressure value of water-based ink dispersibility, characterized in that, The method includes: obtaining a water-based ink sample to be tested, and standing it for 30 - 60 minutes at 23 ± 2 °C to achieve test temperature equilibrium; Prepare the filtration system, install filter membranes with pore sizes of 0.1-50 μm, check for leaks, and determine the initial baseline pressure using a standard carrier liquid. Samples were filtered at a constant flow rate of 1-100 mL / min, and pressure curves were collected in real time. Based on the pressure curve, a sliding window variance criterion is used to automatically identify the steady-state interval, and the steady-state pressure is recorded within this interval. Given the maximum pressure P_max during the filtration process, calculate the pressure rise rate (dP / dt)_ss in the steady-state region; Calculate the relative pressure growth rate The pressure recovery time Tr and the integral value AUC of the pressure curve are combined as a comprehensive dispersion index, where AUC is the integral area under the normalized filter volume condition. Calculating the dispersibility index DI according to D, (dP / dt)_ss, Tr, and AUC.

2. The method for characterizing the filtration pressure value of water-based ink dispersibility according to claim 1, characterized in that, The identification of the steady state interval adopts an adaptive algorithm, and is automatically determined based on the variance of 5 - 10 data points in a sliding window ≤ a preset threshold.

3. The method for characterizing the filtration pressure value of water-based ink dispersibility according to claim 1, characterized in that, The pressure recovery time Tr is the time from the peak pressure P_max to 1.1 × 10⁻⁶. The required time; when Tr is greater than the preset threshold, it indicates that there is flocculation-redispersion hysteresis in the ink dispersion system.

4. The method for characterizing the filtration pressure value of water-based ink dispersibility according to claim 1, characterized in that, The calculation formula of the dispersibility index DI is: ， in is the preset weighting coefficient, and (dP / dt)_ss is the pressure rise rate in the steady-state region.

5. The method for characterizing the filtration pressure value of water-based ink dispersibility according to claim 1, characterized in that, Establishing a dispersibility grade classification standard, determining excellent dispersibility when DI ≤ threshold 1, good dispersibility when threshold 1 < DI ≤ threshold 2, and poor dispersibility when DI > threshold 2, where threshold 1 and threshold 2 are numerical ranges determined by testing standard samples and ROC curve analysis.

6. A device for characterizing the filtration pressure value of water-based ink dispersibility, characterized in that, The device includes: a sample pretreatment module for containing the water-based ink sample and achieving temperature equilibrium; A filtration module including a constant flow supply system and a filtration component with a replaceable filter membrane; A detection module including a pressure sensor with an accuracy not lower than ±0.1 kPa and a response time ≤ 1 s, and a flow controller with an accuracy not lower than ±2%; A processing module including a data acquisition unit and an algorithm processing unit for real-time collecting the pressure curve, automatically identifying the steady state interval, calculating D, Tr, and AUC, and outputting the dispersibility index DI and the dispersibility grade.

7. The filtration pressure value characterization device for the dispersibility of water-based inks according to claim 6, characterized in that, The algorithm processing unit includes an adaptive steady state identification module, a baseline pressure self-calibration module, and a curve area normalization module for eliminating the differences of different filter membranes and different batches of samples.

8. The filtration pressure value characterization device for the dispersibility of water-based inks according to claim 6, characterized in that, The filtration component adopts a design of a replaceable filter membrane with coding identification, and the algorithm processing unit can read the filter membrane pore size information.

9. The filtration pressure value characterization device for the dispersibility of water-based inks according to claim 6, characterized in that, The processing module includes a display screen and a data interface. The display screen is used for real-time displaying the pressure curve, the dispersibility index DI, and the grade determination result; the data interface is used for uploading the test result to the information management system.

10. The filtration pressure value characterization device for the dispersibility of water-based inks according to claim 6, characterized in that, The system has a closed-loop control mode, and the processing module dynamically adjusts the output of the flow controller based on the real-time pressure curve to ensure the constant flow accuracy and reduce the experimental error.

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