Special resin stability evaluation method and system based on chemical components

Abstract

The invention relates to the technical field of quality detection, and discloses a chemical component-based special resin stability evaluation method and system, a to-be-tested resin sample is soaked in a detection reagent to complete immersion of the resin sample, and the state of the resin sample in the soaking process is identified to obtain test state data of the resin sample; according to the method, in the chemical stability testing process of the special resin, the quality loss rate of the resin sample is analyzed, appearance change evaluation in the testing process, comprehensive analysis and the like are carried out, the stability of the resin is evaluated, and the stability of the resin is evaluated. The resin instability characterization value of the resin sample is obtained, and the chemical stability of the resin can be comprehensively evaluated through the resin instability characterization value.

Description

Technical Field

[0001] The present invention relates to the technical field of quality detection, and in particular to a method and system for evaluating the stability of special resins based on chemical composition. Background Art

[0002] Specialty resins refer to polymer materials with special properties and uses obtained through chemical synthesis or natural extraction under specific conditions. These resins usually have good heat resistance, corrosion resistance, mechanical properties, electrical insulation properties and bonding properties, so they are widely used in aerospace, electronics, automobiles, construction and medical fields.

[0003] In the prior art, the stability analysis of special resins is usually evaluated based on the changes in the mechanical properties of the characteristic resins, and there is a lack of analysis of the quality damage and morphological changes during the chemical stability test of the special resins.

[0004] Based on this, this application proposes a method and system for evaluating the stability of special resins based on chemical composition. Summary of the invention

[0005] The object of the present invention is to provide a method and system for evaluating the stability of special resins based on chemical composition.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] The method for evaluating the stability of specialty resins based on chemical composition includes the following steps:

[0008] Soak the resin sample to be tested in the detection reagent to completely immerse the resin sample;

[0009] Identify the state of the resin sample during the immersion process, obtain test state data of the resin sample, and obtain the resin instability characterization value based on the test state data;

[0010] The resin stability is evaluated based on the resin instability characterization value.

[0011] As a further solution of the present invention: the test state data includes mass loss ratio, surface anomaly value and immersion behavior value.

[0012] As a further solution of the present invention: the mass loss ratio is denoted as Zi;

[0013] The immersion behavior value is recorded as Yi;

[0014] That is, the resin instability characterization value Bzy of the resin sample during the detection process is calculated by the formula Bzy=Bi*(Zi+Yi), where Bi is the surface abnormality value.

[0015] As a further solution of the present invention: comparing the resin instability characterization value Bzy of the resin sample with the resin instability characterization threshold bzy of the resin sample;

[0016] If the resin instability characterization value Bzy of the resin sample is greater than or equal to the resin instability characterization threshold bzy of the resin sample, it means that the resin sample has a large mass loss and a large appearance deformation during the detection process, and has poor stability;

[0017] If the resin instability characterization value Bzy of the resin sample is less than the resin instability characterization threshold bzy of the resin sample, it means that the resin sample has little mass loss and appearance deformation during the detection process and has high stability.

[0018] As a further solution of the present invention: the process of obtaining the mass loss ratio is:

[0019] The mass of the resin sample before immersion is collected to obtain the mass of the resin sample before immersion;

[0020] The mass of the resin sample after immersion is collected to obtain the mass of the resin sample after immersion;

[0021] The difference between the mass of the resin sample before immersion and the mass of the resin sample after immersion is calculated to obtain the immersion loss of the resin sample;

[0022] The mass loss ratio of the resin sample during the soaking process is obtained by calculating the ratio of the soaking loss of the resin sample to the mass of the resin sample before soaking.

[0023] As a further solution of the present invention: the process of obtaining the soaking behavior value is:

[0024] Collecting color data of the resin sample before immersion to obtain the color behavior value of the resin sample before immersion;

[0025] Collecting color data of the resin sample after soaking to obtain the color behavior value of the resin sample before soaking;

[0026] The color behavior value of the resin sample before immersion is calculated as a difference with the color behavior value of the resin sample before immersion to obtain the color behavior difference of the resin sample;

[0027] The color behavior difference of the resin sample is calculated by ratio with the color behavior value of the resin sample before immersion, so as to obtain the immersion behavior value of the resin sample during the immersion process.

[0028] As a further solution of the present invention: the process of obtaining the surface abnormal value is:

[0029] Marking the abnormal soaking area on the surface of the resin sample;

[0030] Classifying the marked abnormal soaking area into a primary abnormal area, a secondary abnormal area or a tertiary abnormal area;

[0031] Obtain the regional anomaly values ​​corresponding to all first-level anomaly areas, sum and average all regional anomaly values, and obtain the first-level anomaly area value;

[0032] Obtain the regional anomaly values ​​corresponding to all secondary anomaly areas, sum and average all regional anomaly values, and obtain the secondary anomaly area value;

[0033] Obtain the regional anomaly values ​​corresponding to all the third-level anomaly areas, sum and average all the regional anomaly values, and obtain the third-level anomaly area value;

[0034] The first-level abnormal area value, the second-level abnormal area value and the third-level abnormal area value are weighted to obtain the surface abnormal value of the resin sample.

[0035] As a further solution of the present invention: the process of obtaining the abnormal soaking area is:

[0036] Each abnormal point on the surface of the resin sample was recorded as an abnormal area;

[0037] Abnormal points include corrosion points, cracks or defects caused by immersion.

[0038] As a further solution of the present invention: the abnormality degree of the third-level abnormal area of ​​the resin sample is higher than the abnormality degree of the second-level abnormal area, and the abnormality degree of the second-level abnormal area is higher than the abnormality degree of the first-level abnormal area.

[0039] As a further solution of the present invention: a chemical composition-based special resin stability evaluation system comprises:

[0040] An evaluation test module, which is used to immerse the resin sample to be tested in the detection reagent so that the resin sample is completely immersed;

[0041] A data analysis module, which is used to identify the state of the resin sample during the immersion process, obtain the test state data of the resin sample, and obtain the resin instability characterization value based on the test state data;

[0042] The stability identification module completes the evaluation of the resin stability based on the resin instability characterization value.

[0043] Beneficial effects of the present invention: The chemical stability test process of the special resin in the present invention includes three main links: test preparation, test steps and identification stability. The resin instability characterization value of the resin sample is obtained mainly through methods such as mass loss rate analysis of the resin sample, appearance change evaluation during the test process and comprehensive analysis. The resin instability characterization value can be used to comprehensively evaluate the chemical stability of the resin, providing a scientific basis for the research and development, production and application of the resin. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] Figure 1 is a flow chart of a method for evaluating the stability of a special resin based on chemical composition according to an embodiment of the present invention;

[0046] Figure 2 It is a flowchart of a special resin stability evaluation system based on chemical composition according to an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] Example 1, please refer to Figure 1 As shown, the present invention is a method for evaluating the stability of special resins based on chemical composition, comprising the following steps:

[0049] Soak the resin sample to be tested in the detection reagent to completely immerse the resin sample;

[0050] Identify the state of the resin sample during the immersion process, obtain test state data of the resin sample, and obtain the resin instability characterization value based on the test state data;

[0051] The resin stability is evaluated based on the resin instability characterization value.

[0052] Before the resin sample is immersed, the resin sample is pretreated, including but not limited to crushing, grinding or dissolving, so as to perform subsequent tests.

[0053] Wherein, the detection reagent used for soaking the resin sample is DMF or DMSO.

[0054] Test status data include mass loss ratio, surface anomaly value and immersion behavior value;

[0055] Among them, the process of obtaining the mass loss ratio is:

[0056] The mass of the resin sample before immersion is collected to obtain the mass of the resin sample before immersion;

[0057] The mass of the resin sample after immersion is collected to obtain the mass of the resin sample after immersion;

[0058] The difference between the mass of the resin sample before immersion and the mass of the resin sample after immersion is calculated to obtain the immersion loss of the resin sample;

[0059] The mass loss ratio of the resin sample during the soaking process is obtained by calculating the ratio of the soaking loss of the resin sample to the mass of the resin sample before soaking.

[0060] The process of obtaining surface outliers is as follows:

[0061] Marking the abnormal soaking area on the surface of the resin sample;

[0062] The process of obtaining the immersion abnormal area is as follows:

[0063] Each abnormal point on the surface of the resin sample is recorded as an abnormal area, and the abnormal points include but are not limited to corrosion points, cracks or defect points caused by immersion;

[0064] Classifying the abnormal soaking area into a primary abnormal area, a secondary abnormal area or a tertiary abnormal area;

[0065] Obtain the regional anomaly values ​​corresponding to all first-level anomaly areas respectively, sum and average all regional anomaly values ​​to obtain the first-level anomaly area value;

[0066] Obtain the regional anomaly values ​​corresponding to all secondary anomaly regions respectively, sum and average all regional anomaly values ​​to obtain the secondary anomaly region value;

[0067] Obtain the regional anomaly values ​​corresponding to all three-level anomaly areas respectively, sum and average all regional anomaly values ​​to obtain the three-level anomaly area value;

[0068] The first-level abnormal region value, the second-level abnormal region value and the third-level abnormal region value are weighted to obtain the surface abnormal value of the resin sample;

[0069] Exemplarily: the first-level abnormal area value is recorded as B1, the second-level abnormal area value is recorded as B2, the third-level abnormal area value is recorded as B3, the weight ratio of the first-level abnormal area value B1 is recorded as b1, the weight ratio of the second-level abnormal area value B2 is recorded as b2, and the weight ratio of the third-level abnormal area value B3 is recorded as b3;

[0070] That is, the surface abnormality value Bi of the resin sample is calculated by the formula Bi=B1*b1+B2*b2+B3*b3, where y1+y2+y3=1, 0<y1<y2<y3;

[0071] The abnormality degree of the third-level abnormal area of ​​the resin sample is higher than that of the second-level abnormal area, and the abnormality degree of the second-level abnormal area is higher than that of the first-level abnormal area.

[0072] Furthermore, the process of classifying the abnormal soaking area is as follows:

[0073] Use deep learning frameworks to build convolutional neural network models;

[0074] Collect a large number of resin sample images with different abnormal points, and mark the abnormality value corresponding to each resin sample image to form a data set, and train the model through the data set;

[0075] In the training process, the model parameters are continuously adjusted to minimize the error between the predicted abnormality value and the true value.

[0076] Apply the trained model to each resin sample image with abnormal points to obtain the abnormality value corresponding to each resin sample image;

[0077] According to the abnormality degree value, the abnormal degree of the abnormal point on the resin sample is identified, and the abnormal level of the abnormal point is classified.

[0078] The process of obtaining the immersion behavior value is as follows:

[0079] Collecting color data of the resin sample before immersion to obtain the color behavior value of the resin sample before immersion;

[0080] Collecting color data of the resin sample after soaking to obtain the color behavior value of the resin sample before soaking;

[0081] The color behavior value of the resin sample before immersion is calculated as a difference with the color behavior value of the resin sample before immersion to obtain the color behavior difference of the resin sample;

[0082] The color behavior difference of the resin sample is calculated by ratio with the color behavior value of the resin sample before immersion, so as to obtain the immersion behavior value of the resin sample during the immersion process;

[0083] Among them, the process of obtaining the color behavior value of the resin sample is:

[0084] Taking a photo of the resin sample to obtain a resin sample image, and extracting color features of the resin sample image;

[0085] Get the R value in the resin sample image, marked as Rq;

[0086] Get the G value in the resin sample image, marked as Gq;

[0087] Get the B value in the resin sample image, marked as Bq;

[0088] The Rq value in the resin sample image, the Gq value in the resin sample image, and the Bq value in the resin sample image are weighted to obtain the effective value of the solution color;

[0089] That is, the weight ratio of the Rq value in the resin sample image is assigned to n1, the weight ratio of the Gq value in the resin sample image is assigned to n2, and the weight ratio of the Bq value in the resin sample image is assigned to n3;

[0090] The color behavior value Y of the resin sample is calculated according to the formula Y=Rq*n1+Gq*n2+Bq*n3, wherein n1+n2+n3=1, and n3, n2, and n1 are all greater than 0.

[0091] The mass loss ratio is denoted as Zi;

[0092] The immersion behavior value is recorded as Yi;

[0093] That is, the resin instability characterization value Bzy of the resin sample during the test process is calculated by the formula Bzy=Bi*(Zi+Yi);

[0094] Compare the resin instability characterization value Bzy of the resin sample with the resin instability characterization threshold bzy of the resin sample;

[0095] If the resin instability characterization value Bzy of the resin sample is greater than or equal to the resin instability characterization threshold bzy of the resin sample, it means that the resin sample has a large mass loss and a large appearance deformation during the detection process, and has poor stability;

[0096] If the resin instability characterization value Bzy of the resin sample is less than the resin instability characterization threshold bzy of the resin sample, it means that the resin sample has a small mass loss and a small appearance deformation during the detection process, and has high stability;

[0097] Therefore, through methods such as mass loss rate analysis, appearance change evaluation and comprehensive analysis, the chemical stability of the resin can be comprehensively evaluated, providing a scientific basis for the research and development, production and application of the resin.

[0098] Example 2

[0099] Example 2, please refer to Figure 2 As shown, the present invention is a special resin stability evaluation system based on chemical composition, comprising:

[0100] An evaluation test module, which is used to immerse the resin sample to be tested in the detection reagent so that the resin sample is completely immersed;

[0101] A data analysis module, which is used to identify the state of the resin sample during the immersion process, obtain the test state data of the resin sample, and obtain the resin instability characterization value based on the test state data;

[0102] The stability identification module completes the evaluation of the resin stability based on the resin instability characterization value.

[0103] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for evaluating the stability of a specialty resin based on chemical composition, characterized in that: The following steps are involved: Soak the resin sample to be tested in the detection reagent to completely immerse the resin sample; Identify the state of the resin sample during the immersion process, obtain test state data of the resin sample, and obtain the resin instability characterization value based on the test state data; The resin stability is evaluated based on the resin instability characterization value.

2. The method for evaluating the stability of special resins based on chemical composition according to claim 1, characterized in that: The test status data include mass loss ratio, surface anomaly value and immersion behavior value.

3. The method for evaluating the stability of special resins based on chemical composition according to claim 2, characterized in that: The mass loss ratio is denoted as Zi; The immersion behavior value is recorded as Yi; That is, the resin instability characterization value Bzy of the resin sample during the detection process is calculated by the formula Bzy=Bi*(Zi+Yi), where Bi is the surface abnormality value.

4. The method for evaluating the stability of special resins based on chemical composition according to claim 3, characterized in that: Compare the resin instability characterization value Bzy of the resin sample with the resin instability characterization threshold bzy of the resin sample; If the resin instability characterization value Bzy of the resin sample is greater than or equal to the resin instability characterization threshold bzy of the resin sample, it means that the resin sample has a large mass loss and a large appearance deformation during the detection process, and has poor stability; If the resin instability characterization value Bzy of the resin sample is less than the resin instability characterization threshold bzy of the resin sample, it means that the resin sample has little mass loss and appearance deformation during the detection process and has high stability.

5. The method for evaluating the stability of special resins based on chemical composition according to claim 2, characterized in that: The process of obtaining the mass loss ratio is: The mass of the resin sample before immersion is collected to obtain the mass of the resin sample before immersion; The mass of the resin sample after immersion is collected to obtain the mass of the resin sample after immersion; The difference between the mass of the resin sample before immersion and the mass of the resin sample after immersion is calculated to obtain the immersion loss of the resin sample; The mass loss ratio of the resin sample during the soaking process is obtained by calculating the ratio of the soaking loss of the resin sample to the mass of the resin sample before soaking.

6. The method for evaluating the stability of special resins based on chemical composition according to claim 2, characterized in that: The process of obtaining the immersion behavior value is as follows: Collecting color data of the resin sample before immersion to obtain the color behavior value of the resin sample before immersion; Collecting color data of the resin sample after soaking to obtain the color behavior value of the resin sample before soaking; The color behavior value of the resin sample before immersion is calculated as a difference with the color behavior value of the resin sample before immersion to obtain the color behavior difference of the resin sample; The color behavior difference of the resin sample is calculated by ratio with the color behavior value of the resin sample before immersion, so as to obtain the immersion behavior value of the resin sample during the immersion process.

7. The method for evaluating the stability of special resins based on chemical composition according to claim 2, characterized in that: The process of obtaining surface outliers is as follows: Marking the abnormal soaking area on the surface of the resin sample; Classifying the marked abnormal soaking area into a primary abnormal area, a secondary abnormal area or a tertiary abnormal area; Obtain the regional anomaly values ​​corresponding to all first-level anomaly areas, sum and average all regional anomaly values, and obtain the first-level anomaly area value; Obtain the regional anomaly values ​​corresponding to all secondary anomaly areas, sum and average all regional anomaly values, and obtain the secondary anomaly area value; Obtain the regional anomaly values ​​corresponding to all the third-level anomaly areas, sum and average all the regional anomaly values, and obtain the third-level anomaly area value; The first-level abnormal area value, the second-level abnormal area value and the third-level abnormal area value are weighted to obtain the surface abnormal value of the resin sample.

8. The method for evaluating the stability of special resins based on chemical composition according to claim 7, characterized in that: The process of obtaining the immersion abnormal area is as follows: Each abnormal point on the surface of the resin sample was recorded as an abnormal area; Abnormal points include corrosion points, cracks or defects caused by immersion.

9. The method for evaluating the stability of special resins based on chemical composition according to claim 7, characterized in that: The abnormality degree of the third-level abnormal area of ​​the resin sample is higher than that of the second-level abnormal area, and the abnormality degree of the second-level abnormal area is higher than that of the first-level abnormal area.

10. A chemical composition-based special resin stability evaluation system, characterized in that: include: An evaluation test module, which is used to immerse the resin sample to be tested in the detection reagent so that the resin sample is completely immersed; A data analysis module, which is used to identify the state of the resin sample during the immersion process, obtain the test state data of the resin sample, and obtain the resin instability characterization value based on the test state data; The stability identification module completes the evaluation of the resin stability based on the resin instability characterization value.

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