Ceramic powder quality detection method

Abstract

The invention discloses a ceramic powder quality detection method, and relates to the technical field of quality detection. The method comprises the following steps: constructing a sampling constraint condition; based on the sampling constraint condition, carrying out sample collection to obtain a ceramic powder sample set, and dividing the ceramic powder sample set to obtain a first ceramic powder sample area and a second ceramic powder sample area; performing static quality detection on the first ceramic powder sample area to obtain a ceramic powder static quality coefficient; performing dynamic quality detection on the second ceramic powder sample area to obtain a ceramic powder dynamic quality coefficient; determining an expected static quality coefficient and an expected dynamic quality coefficient; and carrying out fitness analysis on the static quality coefficient and the dynamic quality coefficient of the ceramic powder to obtain a quality detection result of the ceramic powder. The technical problem that in the prior art, the quality detection precision of the ceramic powder is insufficient is solved, and the technical effect of improving the quality detection precision of the ceramic powder is achieved through comprehensive evaluation of static and dynamic quality characteristics.

Description

Technical Field

[0001] The invention relates to the technical field of quality detection, and in particular to a method for detecting the quality of ceramic powder. Background Art

[0002] Ceramic materials are indispensable materials in modern industry and daily life. Their performance and quality are directly related to the service life, safety and overall performance of the product. Ceramic powder is the raw material basis of ceramic products, and its quality directly affects the various performance indicators of the final product. However, the quality inspection of ceramic powder has always been a complex and delicate process. Due to the tiny particle characteristics and unevenness of the powder material itself, traditional inspection methods are often difficult to accurately and comprehensively evaluate its quality. In addition, due to the complex nature of ceramic powder, it is greatly affected by environmental, batch and production process fluctuations, and traditional inspection methods are difficult to adapt to rapidly changing quality requirements. Summary of the invention

[0003] The present application provides a ceramic powder quality detection method, which solves the technical problem of insufficient ceramic powder quality detection accuracy in the prior art.

[0004] In view of the above problems, the present application provides a method for detecting the quality of ceramic powders.

[0005] The present application provides a method for detecting the quality of ceramic powders, the method comprising: According to the quality inspection accuracy level of the ceramic powder to be inspected, a sampling constraint condition is constructed; based on the sampling constraint condition, samples of the ceramic powder to be inspected are collected according to a sampling device to obtain a ceramic powder sample set, and the ceramic powder sample set is divided according to a predetermined sample division ratio to obtain a first ceramic powder sample area and a second ceramic powder sample area; according to the static quality inspection module, a static quality inspection is performed on the first ceramic powder sample area to obtain a static quality coefficient of the ceramic powder; according to the multivariate dynamic quality factor and the multivariate dynamic quality weight, a dynamic quality inspection is performed on the second ceramic powder sample area to obtain a dynamic quality coefficient of the ceramic powder; according to the quality characteristic expectation analysis of the ceramic powder to be inspected, an expected static quality coefficient and an expected dynamic quality coefficient are determined; according to the expected static quality coefficient and the expected dynamic quality coefficient, a fitness analysis is performed on the static quality coefficient of the ceramic powder and the dynamic quality coefficient of the ceramic powder to obtain a ceramic powder quality inspection result.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: First, according to the quality detection accuracy level of the ceramic powder to be detected, a sampling constraint condition is constructed. Then, based on the sampling constraint condition, the ceramic powder to be detected is sampled according to the sampling device to obtain a ceramic powder sample set, and the ceramic powder sample set is divided according to a predetermined sample division ratio to obtain a first ceramic powder sample area and a second ceramic powder sample area. Next, the static quality detection module is used to perform static quality detection on the first ceramic powder sample area to obtain the static quality coefficient of the ceramic powder; the dynamic quality detection is performed on the second ceramic powder sample area according to the multivariate dynamic quality factor and the multivariate dynamic quality weight to obtain the dynamic quality coefficient of the ceramic powder. At the same time, the expected quality characteristics are analyzed according to the ceramic powder to be detected to determine the expected static quality coefficient and the expected dynamic quality coefficient. Finally, according to the expected static quality coefficient and the expected dynamic quality coefficient, the static quality coefficient and the dynamic quality coefficient of the ceramic powder are subjected to fitness analysis to obtain the ceramic powder quality detection result. The technical problem of insufficient quality detection accuracy of ceramic powder in the prior art is solved, and the technical effect of improving the quality detection accuracy of ceramic powder is achieved through the comprehensive evaluation of static and dynamic quality characteristics. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 A schematic diagram of a ceramic powder quality detection method provided in an embodiment of the present application; Figure 2 A schematic diagram of a process for dynamic quality detection in a ceramic powder quality detection method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0009] The present application solves the technical problem of insufficient precision in quality detection of ceramic powders in the prior art by providing a method for detecting quality of ceramic powders.

[0010] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0011] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0012] This application provides an embodiment, such as Figure 1 As shown, a ceramic powder quality detection method is provided, wherein the method comprises: Sampling constraints are constructed according to the quality inspection accuracy level of the ceramic powder to be inspected.

[0013] The quality inspection accuracy level of the ceramic powder to be inspected is determined based on industry standards, customer needs or internal quality control requirements, for example, high, medium and low. The higher the accuracy level, the higher the requirements for sampling quantity, distribution, uniformity, etc.

[0014] Sampling constraints may include the number of samples, sampling distribution, sampling error range, sampling method, and sampling device. Specifically, the number of samples is set according to the accuracy level. For example, a high-precision level may require a larger number of samples to ensure the accuracy and representativeness of the results; the medium and low-precision levels can appropriately reduce the sample size. For different detection accuracy levels, spatial distribution requirements for sampling can be set. For example, a high-precision level may require sampling in different batches, storage locations, or transportation stages of powders to cover the different characteristics of powders. According to the accuracy level, the allowable error range in the sampling process is determined. The sampling error range of the high-precision level is smaller to ensure the uniformity and consistency of the sample. Select appropriate sampling devices and sampling methods according to the accuracy level, such as using special samplers or standardized automatic sampling equipment to ensure the stability and accuracy of the sampling process.

[0015] Based on the sampling constraints, the sampling device collects samples of the ceramic powder to be detected to obtain a ceramic powder sample set, and the ceramic powder sample set is divided according to a predetermined sample division ratio to obtain a first ceramic powder sample area and a second ceramic powder sample area.

[0016] According to the sampling constraints, the sampling device is operated to obtain samples from the ceramic powder. During the sampling process, the sampling time, quantity and distribution position must be strictly controlled to ensure the representativeness and detection accuracy of the samples. For example, for high-precision requirements, samples can be collected in batches and at multiple locations to fully reflect the powder characteristics. The collected samples are sorted and classified to generate a ceramic powder sample set; according to the predetermined sample division ratio, the ceramic powder sample set is divided into two parts, namely the first ceramic powder sample area and the second ceramic powder sample area. The predetermined ratio can be set according to the detection requirements and accuracy level. For example, 20% is used for static quality detection (first ceramic powder sample area) and 80% is used for dynamic quality detection (second ceramic powder sample area).

[0017] The static quality detection module performs static quality detection on the first ceramic powder sample area to obtain the static quality coefficient of the ceramic powder.

[0018] The static quality detection module is used to detect the first ceramic powder sample area, analyze the static properties of the sample, and obtain the static quality coefficient of the ceramic powder. The static quality coefficient of the ceramic powder mainly reflects the quality stability of the powder under static conditions.

[0019] Furthermore, the static quality detection module performs static quality detection on the first ceramic powder sample area to obtain the static quality coefficient of the ceramic powder, including: The static quality detection module includes a microscope and a static quality assessment model; based on the microscope, each ceramic powder sample in the first ceramic powder sample area is subjected to particle size characteristic detection to obtain multiple particle size characteristic detection results; based on the microscope, each ceramic powder sample in the first ceramic powder sample area is subjected to agglomeration characteristic detection to obtain multiple agglomeration characteristic detection results; the multiple particle size characteristic detection results and the multiple agglomeration characteristic detection results are input into the static quality assessment model to obtain multiple static quality assessment coefficients; the centralized value of the multiple static quality assessment coefficients is calculated, and the static quality coefficient of the ceramic powder is output.

[0020] Specifically, the static quality detection module consists of a microscope and a static quality assessment model. The microscope is used to observe and analyze the microscopic characteristics of each ceramic powder sample in the first ceramic powder sample area, such as particle size, shape, agglomeration state, etc. The static quality assessment model is a mathematical model for evaluating the static quality of ceramic powders based on known ceramic powder quality standards and historical data. Use a microscope to detect the particle size characteristics (average particle size, particle size distribution range, maximum particle size and minimum particle size) of each ceramic powder sample in the first ceramic powder sample area to capture the size and distribution of the powder particles, and perform a detailed analysis of its particle size range to obtain the particle size characteristic detection results of each sample. Based on the microscope, the agglomeration characteristic detection of the sample is performed to observe and analyze the agglomeration phenomenon between the powder particles, and obtain multiple agglomeration characteristic detection results. The agglomeration characteristic detection results include particle agglomeration degree, agglomerate size, distribution state, etc. Multiple particle size feature detection results and multiple agglomeration feature detection results are input into the static quality assessment model. The static quality assessment model calculates multiple static quality assessment coefficients based on the input feature data using a preset static quality assessment formula Q=w1f1+w2f2+, where w1 and w2 are the weights of the particle size feature and the agglomeration feature, f1 is the standardized value of the particle size feature, and f2 is the standardized value of the agglomeration feature. The static quality assessment coefficients of all samples are calculated as a centralized value, and the median, mean or weighted mean is usually used as the centralized value to ensure that the overall test result can represent the static quality level of the sample area. Finally, the static quality coefficient of the ceramic powder is output to evaluate the quality characteristics of the batch of powders under static conditions.

[0021] The dynamic quality of the second ceramic powder sample area is detected according to the multivariate dynamic quality factor and the multivariate dynamic quality weight to obtain the dynamic quality coefficient of the ceramic powder.

[0022] According to the characteristics and application scenarios of ceramic powders, multiple factors affecting dynamic quality (such as fluidity, dispersibility, wear resistance, etc.) are determined, and corresponding weights are assigned to each factor to reflect its importance in the overall quality. Based on the multivariate dynamic quality factors and the corresponding multivariate dynamic quality weights, the second ceramic powder sample area is dynamically tested to generate the ceramic powder dynamic quality coefficient.

[0023] Furthermore, if Figure 2 As shown, the second ceramic powder sample area is dynamically tested according to the multivariate dynamic quality factor and the multivariate dynamic quality weight to obtain the dynamic quality coefficient of the ceramic powder, including: The multivariate dynamic quality factor includes sintering performance, thermal stability and dispersibility; the second ceramic powder sample area is divided according to the multivariate dynamic quality factor to obtain a third ceramic powder sample area, a fourth ceramic powder sample area and a fifth ceramic powder sample area; a sintering performance test is performed based on the third ceramic powder sample area to obtain a sintering performance quality coefficient; a thermal stability test is performed based on the fourth ceramic powder sample area to obtain a thermal stability quality coefficient; a dispersibility test is performed based on the fifth ceramic powder sample area to obtain a dispersion quality coefficient; the sintering performance quality coefficient, the thermal stability quality coefficient and the dispersion quality coefficient are weightedly calculated based on the multivariate dynamic quality weight to obtain the dynamic quality coefficient of the ceramic powder.

[0024] In the second ceramic powder sample area, dynamic quality detection is evaluated based on multivariate dynamic quality factors (sintering performance, thermal stability, and dispersibility). Among them, sintering performance reflects the degree of densification of ceramic powder during the sintering process, thermal stability refers to the ability of ceramic powder to maintain its physical and chemical properties in an environment of high temperature or rapid temperature changes, and dispersibility refers to the degree and uniformity of ceramic powder in the dispersion medium. Specifically, according to the multivariate dynamic quality factor, the second ceramic powder sample area is divided into a third ceramic powder sample area, a fourth ceramic powder sample area and a fifth ceramic powder sample area. The third ceramic powder sample area is used to evaluate the sintering performance, the fourth ceramic powder sample area is used to evaluate the thermal stability, and the fifth ceramic powder sample area is used to evaluate the dispersibility. In the third ceramic powder sample area, the samples are tested for sintering performance to obtain a sintering performance quality coefficient, which is used as a quantitative evaluation of the sintering characteristics of the powder. In the fourth ceramic powder sample area, a thermal stability test is performed to obtain a thermal stability quality coefficient, which is used to evaluate the stability and adaptability of the powder under temperature changes. In the fifth ceramic powder sample area, the dispersion characteristics are tested to obtain a dispersion quality coefficient, which represents the dispersion effect of the powder in the use environment. According to the multivariate dynamic quality weight, the sintering performance quality coefficient, the thermal stability quality coefficient and the dispersion quality coefficient are weighted and calculated to obtain the final ceramic powder dynamic quality coefficient.

[0025] Furthermore, the sintering performance test is performed based on the third ceramic powder sample area to obtain the sintering performance quality coefficient, including: Based on the material properties of the ceramic powder to be tested, K sintering scenario conditions are constructed, wherein each sintering scenario condition includes a sintering temperature condition and a sintering time condition, and K is a positive integer greater than 1; based on the K sintering scenario conditions, the sintering performance of the third ceramic powder sample area is tested to obtain K scenario sintering performance coefficients; based on the K sintering scenario conditions, a sintering depth evaluation is performed to obtain K scenario sintering depth coefficients; a proportion calculation is performed based on the K scenario sintering depth coefficients to obtain K sintering performance weight coefficients; based on the K sintering performance weight coefficients, a weighted calculation is performed on the K scenario sintering performance coefficients to generate the sintering performance quality coefficient.

[0026] The sintering performance test is performed based on the third ceramic powder sample area. Specifically, according to the material properties of the ceramic powder to be tested, K different sintering scene conditions are designed to simulate the performance of the powder under different sintering parameters. Each sintering scene includes sintering temperature conditions and sintering time conditions, where K is a positive integer greater than 1; under the constructed K sintering scene conditions, the sintering performance test is performed on the third ceramic powder sample area respectively to obtain K scene sintering performance coefficients; based on each sintering scene condition, the sintering depth is evaluated, and the sintering depth reflects the degree of densification between powder particles and the sintering The in-depth performance of the effect, the sintering depth evaluation indicators may include sintering porosity (pore content after sintering) and particle bonding degree (bonding strength between particles); according to the evaluation results of the sintering depth, the sintering depth coefficient for each sintering scenario can be calculated by weighted calculation; according to the proportion calculation of the sintering depth coefficients of K scenarios, K sintering performance weight coefficients are obtained, and these weight coefficients reflect the contribution of sintering performance to the overall sintering performance in different sintering scenarios; based on the K sintering performance weight coefficients, the sintering performance coefficients of K scenarios are weightedly calculated to generate a sintering performance quality coefficient.

[0027] Furthermore, the sintering performance of the third ceramic powder sample area is tested based on the K sintering scene conditions to obtain K scene sintering performance coefficients, including: Based on the K sintering scenario conditions, the third ceramic powder sample area is divided into samples to obtain K scenario ceramic powder samples; based on the K sintering scenario conditions, the K scenario ceramic powder samples are sintered respectively to obtain K sintering change monitoring results; the sintering performance evaluation model is activated; the K sintering change monitoring results are input into the sintering performance evaluation model to generate the K scenario sintering performance coefficients.

[0028] Specifically, according to K sintering scene conditions, the third ceramic powder sample area is divided into K groups of samples, each group of samples corresponds to a specific sintering scene condition, and each sample group is called a scene ceramic powder sample; under each specific sintering scene condition (i.e., sintering temperature condition and sintering time condition), sintering experiments are carried out on each scene ceramic powder sample to observe and record the changes of the samples under different conditions; the sintering change monitoring of each sample group includes density change (densification of the sample during the sintering process), volume shrinkage (change in sample volume during the sintering process), porosity change (change in the sample volume after sintering), and so on. The pore structure and distribution of the sample); the results of each scenario sample group are recorded as the sintering change monitoring results, and the sintering performance evaluation model is started to analyze the sintering change monitoring results and generate the scenario sintering performance coefficient; the sintering performance evaluation model can be established based on historical data, and the sintering effect of each scenario can be evaluated by comparing the monitoring results; the K sintering change monitoring results are input into the sintering performance evaluation model for processing, and the model will calculate the performance of each scenario according to the characteristics of each monitoring result, and generate the scenario sintering performance coefficient, which represents the quality performance of ceramic powder under specific sintering conditions.

[0029] The process of thermal stability testing in the fourth ceramic powder sample area is similar to the process of sintering performance testing in the third ceramic powder sample area. Specifically, according to the material properties of the ceramic powder, K different thermal stability scenario conditions are designed, and each scenario condition includes a temperature range and duration; according to the K thermal stability scenario conditions, the fourth ceramic powder sample area is divided into K independent sample groups, and each sample group is called a scenario ceramic powder sample; each scenario ceramic powder sample is subjected to thermal stability testing under corresponding temperature and time conditions, and the tests include mass loss rate (mass change of the sample at high temperature to evaluate the decomposition and volatility of the material), thermal expansion coefficient (volume or length of the powder at high temperature), and thermal stability of the sample. The test results of each scene are recorded as the thermal stability change monitoring results; the thermal stability evaluation model is started, and the thermal stability change monitoring results of each scene are input into the model for processing. The thermal stability evaluation model combines multiple thermal stability parameters to quantitatively evaluate the thermal stability performance of the powder in each scene, and generates a thermal stability quality coefficient for each scene. The thermal stability quality coefficient reflects the thermal stability under specific scene conditions; according to the thermal stability quality coefficient of each scene, a proportion calculation is performed to obtain the thermal stability weight coefficient; the thermal stability weight coefficient is used to perform weighted calculation on K thermal stability quality coefficients to obtain the overall thermal stability quality coefficient.

[0030] Furthermore, the dispersion quality coefficient is obtained by performing a dispersion test on the fifth ceramic powder sample area, including: Based on predetermined environmental conditions, each ceramic powder sample in the fifth ceramic powder sample area is dispersed into a predetermined liquid medium to obtain a plurality of powder dispersions; based on the plurality of powder dispersions, viscosity change monitoring is performed to obtain a plurality of viscosity change monitoring results; based on the plurality of viscosity change monitoring results, dispersion performance evaluation is performed to obtain a plurality of dispersion performance coefficients; and the concentration value of the plurality of dispersion performance coefficients is calculated to generate the dispersion quality coefficient.

[0031] A dispersion test is performed in the fifth ceramic powder sample area to obtain the dispersion quality coefficient of the ceramic powder. Specifically, under predetermined environmental conditions (type of liquid medium, temperature and stirring rate), each sample in the fifth ceramic powder sample area is dispersed into a predetermined liquid medium to form a plurality of powder dispersions; the viscosity of each powder dispersion is monitored, and the viscosity data that changes with time is recorded. Viscosity is one of the important indicators of dispersion and reflects the distribution state and stability of powder particles in the liquid; a viscometer or similar equipment is used to monitor the viscosity change of each dispersion in real time to obtain a viscosity change monitoring result; the viscosity change monitoring result of each powder dispersion is input into a dispersion performance evaluation model, and the dispersion performance evaluation model calculates the dispersion performance of each dispersion based on the viscosity change characteristics (such as initial viscosity, equilibrium viscosity, and viscosity stability); the viscosity change data of each sample is converted into a dispersion performance coefficient after weighted calculation by the dispersion performance evaluation model. The dispersion performance coefficient is a quantitative indicator that reflects the dispersion quality of the sample in the liquid medium. After collecting the dispersion performance coefficients of all powder samples, the concentrated value (eg, mean value) thereof is calculated to obtain the dispersion quality coefficient of the entire fifth ceramic powder sample region.

[0032] The expected quality characteristics of the ceramic powder to be tested are analyzed to determine the expected static quality coefficient and the expected dynamic quality coefficient.

[0033] According to industry standards, historical data or customer needs, the expected static quality coefficient and expected dynamic quality coefficient of ceramic powder are determined. These expected values ​​serve as the standard for evaluating the actual quality test results.

[0034] Furthermore, the expected analysis of the quality characteristics of the ceramic powder to be tested is performed to determine the expected static quality coefficient and the expected dynamic quality coefficient, including: According to the ceramic powder to be tested, production records are traced back to obtain the powder production process plan; according to the powder production process plan, quality records are retrieved to obtain a powder static quality coefficient record set and a powder dynamic quality coefficient record set; according to the powder static quality coefficient record set, centralized value calculation is performed to obtain the expected static quality coefficient; according to the powder dynamic quality coefficient record set, centralized value calculation is performed to obtain the expected dynamic quality coefficient.

[0035] Preferably, based on the historical production information of the ceramic powder to be tested, its production process is traced back to obtain the powder production process plan, including key parameters in the production process, such as temperature, time, raw material ratio, etc.; based on the obtained production process plan, the quality inspection records related to the process are retrieved, including a powder static quality coefficient record set and a powder dynamic quality coefficient record set, the powder static quality coefficient record set contains the static quality inspection results of historical production batches under the same or similar process conditions, and the powder dynamic quality coefficient record set contains the dynamic quality inspection results of historical production batches under the same or similar process conditions; all data in the powder static quality coefficient record set are calculated as a central value (such as a mean) to determine the expected static quality coefficient; the data in the powder dynamic quality coefficient record set are calculated as a central value to determine the expected dynamic quality coefficient.

[0036] According to the expected static mass coefficient and the expected dynamic mass coefficient, a fitness analysis is performed on the static mass coefficient of the ceramic powder and the dynamic mass coefficient of the ceramic powder to obtain a ceramic powder quality test result.

[0037] The actually measured static mass coefficient and dynamic mass coefficient of the ceramic powder are compared with the expected static mass coefficient and expected dynamic mass coefficient, and the fitness index (such as deviation rate, qualified rate, etc.) is calculated to evaluate the quality compliance of the ceramic powder, thereby generating the final ceramic powder quality test results.

[0038] Further, according to the expected static mass coefficient and the expected dynamic mass coefficient, a fitness analysis is performed on the static mass coefficient of the ceramic powder and the dynamic mass coefficient of the ceramic powder to obtain a ceramic powder quality test result, including: Based on the expected static mass coefficient, the fitness of the static mass coefficient of the ceramic powder is evaluated to obtain the static mass fitness of the powder; based on the expected dynamic mass coefficient, the fitness of the dynamic mass coefficient of the ceramic powder is evaluated to obtain the dynamic mass fitness of the powder; based on the powder fitness weight condition, the static mass fitness of the powder and the dynamic mass fitness of the powder are weighted calculated to obtain the ceramic powder mass fitness; the static mass fitness of the powder, the dynamic mass fitness of the powder and the ceramic powder mass fitness are added to the ceramic powder quality detection result.

[0039] Specifically, the static mass coefficient of the ceramic powder is compared with the expected static mass coefficient, their fitness is evaluated, and the static mass fitness of the powder is calculated, for example, the static mass fitness of the powder = the static mass coefficient of the ceramic powder ÷ the expected static mass coefficient; by comparing the dynamic mass coefficient of the ceramic powder with the expected dynamic mass coefficient, the dynamic mass fitness of the powder is calculated, the dynamic mass fitness of the powder = the dynamic mass coefficient of the ceramic powder ÷ the expected dynamic mass coefficient; according to the powder fitness weight condition, the static mass fitness of the powder and the dynamic mass fitness of the powder are weightedly calculated to obtain the comprehensive ceramic powder quality fitness; the static mass fitness of the powder, the dynamic mass fitness of the powder and the quality fitness of the ceramic powder are added to the quality test results of the ceramic powder.

[0040] In summary, the embodiments of the present application have at least the following technical effects: First, according to the quality detection accuracy level of the ceramic powder to be detected, a sampling constraint condition is constructed. Then, based on the sampling constraint condition, the ceramic powder to be detected is sampled according to the sampling device to obtain a ceramic powder sample set, and the ceramic powder sample set is divided according to a predetermined sample division ratio to obtain a first ceramic powder sample area and a second ceramic powder sample area. Next, the static quality detection module is used to perform static quality detection on the first ceramic powder sample area to obtain the static quality coefficient of the ceramic powder; the dynamic quality detection is performed on the second ceramic powder sample area according to the multivariate dynamic quality factor and the multivariate dynamic quality weight to obtain the dynamic quality coefficient of the ceramic powder. At the same time, the expected quality characteristics are analyzed according to the ceramic powder to be detected to determine the expected static quality coefficient and the expected dynamic quality coefficient. Finally, according to the expected static quality coefficient and the expected dynamic quality coefficient, the static quality coefficient and the dynamic quality coefficient of the ceramic powder are subjected to fitness analysis to obtain the ceramic powder quality detection result. The technical problem of insufficient quality detection accuracy of ceramic powder in the prior art is solved, and the technical effect of improving the quality detection accuracy of ceramic powder is achieved through the comprehensive evaluation of static and dynamic quality characteristics.

[0041] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0042] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0043] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for detecting the quality of ceramic powders. It is characterized in that The method comprises: According to the quality inspection accuracy level of the ceramic powder to be inspected, the sampling constraint conditions are established; Based on the sampling constraint condition, the sampling device collects samples of the ceramic powder to be detected to obtain a ceramic powder sample set, and divides the ceramic powder sample set according to a predetermined sample division ratio to obtain a first ceramic powder sample area and a second ceramic powder sample area; Performing static quality detection on the first ceramic powder sample area according to the static quality detection module to obtain a static quality coefficient of the ceramic powder; Performing dynamic quality detection on the second ceramic powder sample area according to the multivariate dynamic quality factor and the multivariate dynamic quality weight to obtain a dynamic quality coefficient of the ceramic powder; Performing quality characteristic expectation analysis on the ceramic powder to be tested to determine an expected static quality coefficient and an expected dynamic quality coefficient; According to the expected static mass coefficient and the expected dynamic mass coefficient, a fitness analysis is performed on the static mass coefficient of the ceramic powder and the dynamic mass coefficient of the ceramic powder to obtain a ceramic powder quality test result.

2. A ceramic powder quality detection method as claimed in claim 1, It is characterized in that Performing dynamic quality detection on the second ceramic powder sample area according to the multivariate dynamic quality factor and the multivariate dynamic quality weight to obtain the dynamic quality coefficient of the ceramic powder includes: The multivariate dynamic quality factors include sintering performance, thermal stability and dispersibility; Dividing the second ceramic powder sample area according to the multivariate dynamic quality factor to obtain a third ceramic powder sample area, a fourth ceramic powder sample area and a fifth ceramic powder sample area; Performing sintering performance testing based on the third ceramic powder sample area to obtain a sintering performance quality coefficient; Performing thermal stability testing on the fourth ceramic powder sample area to obtain a thermal stability quality coefficient; Performing a dispersion test on the fifth ceramic powder sample area to obtain a dispersion quality coefficient; The sintering performance quality coefficient, the thermal stability quality coefficient and the dispersibility quality coefficient are weightedly calculated based on the multivariate dynamic quality weight to obtain the dynamic quality coefficient of the ceramic powder.

3. A ceramic powder quality detection method as claimed in claim 2, It is characterized in that The sintering performance test is performed based on the third ceramic powder sample area to obtain the sintering performance quality coefficient, including: Based on the material properties of the ceramic powder to be tested, K sintering scene conditions are constructed, wherein each sintering scene condition includes a sintering temperature condition and a sintering time condition, and K is a positive integer greater than 1; Performing sintering performance testing on the third ceramic powder sample area based on the K sintering scene conditions to obtain K scene sintering performance coefficients; Performing sintering depth evaluation based on the K sintering scene conditions to obtain K scene sintering depth coefficients; Calculate the proportion of the sintering depth coefficients of the K scenes to obtain K sintering performance weight coefficients; The K scene sintering performance coefficients are weightedly calculated based on the K sintering performance weight coefficients to generate the sintering performance quality coefficient.

4. A ceramic powder quality detection method as claimed in claim 3, It is characterized in that The sintering performance of the third ceramic powder sample area is tested based on the K sintering scene conditions to obtain K scene sintering performance coefficients, including: Dividing the third ceramic powder sample area into samples based on the K sintering scene conditions to obtain K scene ceramic powder samples; Based on the K sintering scene conditions, the K scene ceramic powder samples are sintered respectively to obtain K sintering change monitoring results; Activate the sintering performance evaluation model; The K sintering change monitoring results are input into the sintering performance evaluation model to generate the K scenario sintering performance coefficients.

5. A ceramic powder quality detection method as claimed in claim 2, It is characterized in that The dispersion quality coefficient is obtained by performing a dispersion test on the fifth ceramic powder sample area, including: Based on predetermined environmental conditions, dispersing each ceramic powder sample in the fifth ceramic powder sample area into a predetermined liquid medium to obtain a plurality of powder dispersions; Performing viscosity change monitoring based on the multiple powder dispersions to obtain multiple viscosity change monitoring results; Performing dispersion performance evaluation based on the multiple viscosity change monitoring results to obtain multiple dispersion performance coefficients; The dispersion quality coefficient is generated by calculating a concentrated value of the plurality of dispersion performance coefficients.

6. A ceramic powder quality detection method as claimed in claim 1, It is characterized in that Performing quality characteristic expectation analysis according to the ceramic powder to be tested to determine the expected static quality coefficient and the expected dynamic quality coefficient, including: Tracing back the production records of the ceramic powder to be tested to obtain a powder production process plan; Performing a quality record search according to the powder production process plan to obtain a powder static quality coefficient record set and a powder dynamic quality coefficient record set; Performing concentrated value calculation according to the powder static mass coefficient record set to obtain the expected static mass coefficient; The expected dynamic mass coefficient is obtained by performing concentrated value calculation according to the powder dynamic mass coefficient record set.

7. A ceramic powder quality detection method as claimed in claim 1, It is characterized in that According to the expected static mass coefficient and the expected dynamic mass coefficient, a fitness analysis is performed on the static mass coefficient of the ceramic powder and the dynamic mass coefficient of the ceramic powder to obtain a ceramic powder quality test result, including: Performing fitness evaluation on the static mass coefficient of the ceramic powder based on the expected static mass coefficient to obtain the static mass fitness of the powder; Based on the expected dynamic mass coefficient, performing fitness evaluation on the dynamic mass coefficient of the ceramic powder to obtain the dynamic mass fitness of the powder; Performing weighted calculation on the static mass fitness of the powder and the dynamic mass fitness of the powder based on the powder fitness weight condition to obtain the ceramic powder mass fitness; The powder static quality fitness, the powder dynamic quality fitness and the ceramic powder quality fitness are added to the ceramic powder quality detection result.

8. A ceramic powder quality detection method as claimed in claim 1, It is characterized in that Performing static quality detection on the first ceramic powder sample area according to the static quality detection module to obtain the static quality coefficient of the ceramic powder includes: The static quality detection module includes a microscope and a static quality assessment model; Based on the microscope, performing particle size characteristic detection on each ceramic powder sample in the first ceramic powder sample area to obtain multiple particle size characteristic detection results; Based on the microscope, agglomeration characteristic detection is performed on each ceramic powder sample in the first ceramic powder sample area to obtain multiple agglomeration characteristic detection results; Inputting the plurality of particle size characteristic detection results and the plurality of agglomeration characteristic detection results into the static quality assessment model to obtain a plurality of static quality assessment coefficients; The centralized value of the plurality of static quality evaluation coefficients is calculated, and the static quality coefficient of the ceramic powder is output.

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