A method for testing and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts

Abstract

The invention belongs to the technical field of anti-aging performance detection of automobile parts, and specifically discloses a method for detecting and analyzing the anti-aging performance of glass fiber reinforced PP plastic automobile parts, which comprises: sorting automobile parts samples according to apparent shape complexity and associating the corresponding apparent performance decay coefficients, thereby deeply revealing the intrinsic relationship between the shape complexity and the anti-aging performance of automobile parts; evaluating the hygroscopic performance index of automobile parts by identifying the fusion defects of PP resin and glass fiber, thereby deeply understanding the influence of PP resin content on the internal structure of parts; determining the influence rate of unit change content of PP resin on the anti-aging performance of automobile parts by analyzing the isomeric coefficients of material components to which the automobile parts samples belong; and quickly determining the anti-aging performance of automobile parts of the same batch by combining the influence coefficients of unit apparent shape complexity and unit change content of PP resin on the anti-aging performance, thereby greatly shortening the evaluation cycle.

Description

Technical Field

[0001] The invention belongs to the technical field of anti-aging performance detection of automobile parts, and relates to an anti-aging performance detection and analysis method for glass fiber reinforced PP plastic automobile parts. Background Art

[0002] With the rapid development of the automobile industry, the performance and quality requirements for auto parts are becoming increasingly stringent. As an excellent auto parts material, the aging resistance of glass fiber reinforced PP plastic is directly related to the service life and safety of auto parts.

[0003] However, existing aging resistance testing and analysis methods often have many deficiencies when evaluating glass fiber reinforced PP plastic automotive parts. For example: (1) In evaluating the aging resistance of automotive parts, existing technologies often only focus on material composition and single physical properties, while ignoring the influence of the complexity of the apparent shape of the parts on the aging resistance. As an important feature of automotive parts, the complexity of the apparent shape directly affects the stress distribution and environmental adaptability of the parts during use.

[0004] (2) When evaluating the hygroscopic performance index of automotive parts, the existing technology often lacks analysis of the fusion state of PP resin and glass fiber, which directly affects the internal structure and performance stability of the parts.

[0005] (3) Existing methods for monitoring the performance of accessories may include some physical performance tests, chemical analysis, and durability tests, but these methods usually require testing each accessory one by one, which is time-consuming and labor-intensive, and it is difficult to obtain accurate evaluation results in a short period of time. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts is proposed.

[0007] The purpose of the present invention can be achieved by the following technical solutions: The present invention provides a method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts, the method comprising the following steps: Step 1, apparent shape complexity analysis: Collect automobile parts samples with different PP resin contents from the same batch, and analyze the apparent shape complexity φ of each automobile parts sample. i , i is the number of the automobile parts sample, i=1,2,...,c.

[0008] Step 2: UV aging test: Place each auto parts sample in an aging test chamber, set aging test conditions, including UV light intensity and aging time, and evaluate the apparent performance degradation coefficient of each auto parts sample.

[0009] Step 3. Analysis of manufacturing limitations of complex shapes: Evaluate the correlation index between the apparent shape complexity and the apparent performance degradation coefficient of automotive parts, and analyze the influence coefficient μ0 of the apparent shape complexity of the unit to which the automotive parts sample belongs on the aging resistance performance.

[0010] Step 4. Analysis of internal structural defects of accessories: Identify the internal structure of each automotive accessory sample and evaluate the fusion defect coefficient of the components corresponding to the PP resin content of each automotive accessory sample.

[0011] Step 5: Hygroscopicity test: Conduct hygroscopicity test on each auto parts sample to evaluate the hygroscopicity performance index τ of each auto parts sample i Based on this, the influence coefficient of the PP resin content of each automotive parts sample on the aging resistance of automotive parts is determined.

[0012] Step 6. PP resin content analysis: Analyze the isotropic coefficient of the material components of the automotive parts samples, and determine the impact rate of the unit change content of PP resin on the aging resistance of automotive parts.

[0013] Step 7. Performance evaluation of accessories from the same batch: Quickly determine the aging resistance of other automotive accessories from the same batch.

[0014] In a preferred embodiment, the steps for analyzing the apparent shape complexity of each automobile accessory sample are as follows: extracting the number of contact surfaces and the geometric shape of each contact surface of the corresponding automobile accessory sample from the apparent shape contour model of each automobile accessory sample, and extracting each geometric feature parameter R of the corresponding geometric shape of each contact surface of each automobile accessory sample irn , r is the number of the contact surface, r = 1, 2, ..., a, n is the number of the geometric feature parameter, n = 1, 2, ..., l.

[0015] Calculate the shape complexity influence factor of each contact surface of each automotive parts sample Where R′ n Indicates the specified baseline value of the nth geometric feature parameter, D i Represents the number of contact surfaces of the i-th automobile parts sample.

[0016] The connection shape between each contact surface and its adjacent contact surface of each automobile accessory sample is obtained from the apparent shape contour model of each automobile accessory sample, and the connection shape between each contact surface and its adjacent contact surface of each automobile accessory sample is compared with the preset complex weights corresponding to various connection shape features to obtain the complex weight of the connection shape between each contact surface and its adjacent contact surface of each automobile accessory sample, and the comprehensive complex weight U of the connection shape of the contact surface of each automobile accessory sample is obtained by summing up. i .

[0017] Analyze the apparent shape complexity of each automotive parts sample

[0018] In a preferred embodiment, the specific process of evaluating the apparent performance degradation coefficient of each automobile accessory sample is: collecting the apparent images of each automobile accessory sample at the initial time and the end time corresponding to the aging time, extracting the apparent color of each contact surface of each automobile accessory sample at the initial time and the end time corresponding to the aging time based on image processing technology, and recording them as

[0019] Evaluate the apparent performance degradation coefficient of each automotive parts sample Among them, Δρ is the reference value of the apparent color change of the contact surface within the time interval between the initial moment and the end moment corresponding to the set aging time, E and T are the ultraviolet light intensity and aging time in the aging test conditions, respectively, and E0 and T0 represent the reference values ​​corresponding to the preset ultraviolet light intensity and aging time, respectively.

[0020] In a preferred embodiment, the corresponding analysis method for analyzing the influence coefficient of the complex shape of the unit of the automobile parts sample on the aging resistance performance is: evaluating the correlation index between the apparent shape complexity of the automobile parts and the apparent performance degradation coefficient where η (i-1) represents the apparent performance degradation coefficient of the i-1th automotive parts sample, φ (i-1) Represents the apparent shape complexity of the i-1th automobile parts sample.

[0021] The auto parts samples are sorted in order of their apparent shape complexity from small to large, and then their apparent performance degradation coefficients are sorted in order of their secondary numbers to obtain the corresponding apparent performance degradation coefficients of each secondary sorted auto parts sample. i′ is the secondary sorting number of the automobile parts sample, i′=1,2,...,c′.

[0022] Analysis of the influence coefficient of complex shapes of automobile parts samples on aging resistance ε0 represents the correlation index threshold between the apparent shape complexity and the apparent performance degradation coefficient of the preset automotive parts. It represents the apparent performance degradation coefficient corresponding to the i′+1th secondary sorted automobile parts sample, and c′ is the number of automobile parts samples.

[0023] In a preferred embodiment, the method for evaluating the fusion defect coefficient of the component corresponding to the PP resin content of each automobile part sample is: penetrating the material of each automobile part sample with X-rays, forming a detection image on a detector, identifying each fusion defect area of ​​the PP resin and the glass fiber in each automobile part sample, and extracting the area S of each fusion defect area of ​​each automobile part sample. iz .

[0024] Evaluate the fusion defect coefficient of the corresponding components of the PP resin content of each automotive parts sample Where S0 represents the set reference defect area, z is the number of the fused defect area, z = 1, 2, ..., g, and π is 360 degrees.

[0025] In a preferred embodiment, the process of evaluating the moisture absorption performance index of each automobile accessory sample is as follows: recording the moisture absorption rate and moisture absorption amount of each automobile accessory sample under each humidity environment, respectively denoted as v iw ,q iw , w is the number of the humidity environment, w=1,2,...,t.

[0026] Evaluate the moisture absorption performance index of various automotive parts samples Where υ0 and q0 represent the reference moisture absorption rate and reference moisture absorption amount corresponding to the specified humidity environment, t represents the number of set environments, and I w It represents the wth humidity environment, and I0 represents the specified humidity environment.

[0027] In a preferred embodiment, the corresponding calculation formula for determining the influence coefficient of the PP resin content of each automobile accessory sample on the aging resistance of the automobile accessory is: e is a natural constant.

[0028] In a preferred embodiment, the process of analyzing the isomeric coefficients of the material components of the automobile parts samples is as follows: obtaining the content Q of various material components of each automobile parts sample ih , analyze the isotropic coefficient of the material components of the automotive parts samples Where Q (i-1)h is the content of the hth material component of the i-1th automobile parts sample, ΔQ is the reference value of the difference between the contents of a single material component of two set automobile parts samples, h is the type number of the material, h = 1, 2, ..., ν, ν is the number of material types, and c is the number of automobile parts samples.

[0029] In a preferred embodiment, the process of determining the influence rate of the unit change content of PP resin on the aging resistance of automobile parts is as follows: taking the content of each PP resin as the horizontal coordinate and the influence coefficient of the PP resin content of each automobile part sample on the aging resistance of automobile parts as the vertical coordinate, a coordinate system is constructed to obtain a curve of the influence coefficient of the aging resistance of automobile parts changing with the change of PP resin content.

[0030] Extract the number of curve peaks. If the number of curve peaks is less than 1, the curve shape is determined to be nearly linear, and then the curve is approximated as a straight line. Get the bisection points of the two endpoints of the curve, respectively extract the straight line segments between the two endpoints of the curve and their bisection points, and then extract the coordinates of the bisection points P1(χ1,y1) and P2(χ2,y2) of the two straight line segments. It is the influence rate of unit change content of PP resin on the aging resistance of automotive parts.

[0031] If the number of curve peaks is greater than 1, extract each peak point and its adjacent valley point in the curve, use them as the two endpoints of the line segment, obtain the line segment to which each peak point belongs, and extract the slope κ′ of the line segment to which each peak point belongs p , and then is the influence rate of unit change content of PP resin on the aging resistance of automobile parts, p is the number of the peak point, p = 1, 2, ..., f.

[0032] In a preferred embodiment, the specific method for quickly determining other aging resistance properties of the same batch is: obtaining the corresponding designated auto parts of the same batch, and based on the apparent shape complexity analysis method of each auto part sample, similarly obtaining the apparent shape complexity of the designated auto parts

[0033] Extract the PP resin content of specified automotive parts Analyze the quantitative value of the comprehensive aging resistance of specified auto parts corresponding to the PP resin content of the auto parts

[0034] Compared with the prior art, the present invention has the following beneficial effects: (1) By sorting the auto parts samples according to the apparent shape complexity and correlating their corresponding apparent performance degradation coefficients, the present invention deeply reveals the intrinsic relationship between the shape complexity and the aging resistance of auto parts, and can more accurately evaluate the aging resistance of parts with different shape complexities. This quantitative analysis not only helps to understand the mechanism of action between shape complexity and aging resistance, but also provides specific optimization directions for product design.

[0035] (2) The present invention evaluates the hygroscopic performance index of automotive parts by identifying the fusion defects of PP resin and glass fiber, which can deeply understand the effect of PP resin content on the internal structure of parts. This analysis not only reveals the intrinsic connection between material composition and part performance, but also provides us with important clues on how to optimize material selection and ratio.

[0036] (3) The present invention can accurately determine the influence rate of unit change content of PP resin on the aging resistance of automobile parts by analyzing the isobaric coefficient of material components to which automobile parts samples belong, which helps to predict the aging resistance of automobile parts under different PP resin contents.

[0037] (4) The present invention combines the influence coefficient of the unit apparent shape complexity of the automobile parts sample on the aging resistance and the influence rate of the unit change content of the PP resin on the aging resistance of the automobile parts to quickly determine the aging resistance of the same batch of automobile parts. This greatly shortens the evaluation cycle, improves the evaluation efficiency, and helps manufacturers to understand the product quality status in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0039] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method. DETAILED DESCRIPTION

[0040] 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.

[0041] See also Figure 1 As shown, the present invention provides a method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts, the method comprising: step 1, apparent shape complexity analysis: collecting automobile parts samples with different PP resin contents from the same batch, obtaining the apparent shape contour model of each automobile parts sample, and analyzing the apparent shape complexity φ of each automobile parts sample i , i is the number of the automobile parts sample, i=1,2,...,c.

[0042] Specifically, the PP resin content refers to the proportion of polypropylene (PP) resin as the main material in the automotive parts product, and one automotive parts sample corresponds to one PP resin content.

[0043] In a specific embodiment of the present invention, the steps for analyzing the apparent shape complexity of each automobile accessory sample are as follows: extracting the number of contact surfaces and the geometric shape of each contact surface of the corresponding automobile accessory sample from the apparent shape contour model of each automobile accessory sample, and extracting each geometric feature parameter R of the corresponding geometric shape of each contact surface of each automobile accessory sample. irn , the geometric shapes include curved shapes and plane shapes, and the geometric feature parameters include area, number of boundaries, curvature features, topological features, etc. r is the number of the contact surface, r=1,2,...,a, and n is the number of the geometric feature parameter, n=1,2,...,l.

[0044] Calculate the shape complexity influence factor of each contact surface of each automotive parts sample Where R′ n Indicates the specified baseline value of the nth geometric feature parameter, D i Represents the number of contact surfaces of the i-th automobile parts sample.

[0045] Specifically, the specified baseline value of each geometric feature parameter refers to the minimum reference value of each geometric feature parameter stored in the accessory sample data storage end.

[0046] The connection shape between each contact surface of each automobile accessory sample and its adjacent contact surface is obtained from the apparent shape contour model of each automobile accessory sample. The connection shape includes transition surface shape, joint surface shape, plane contact shape, embedded structure shape, etc. It is compared with the preset complex weights corresponding to various connection shape features to obtain the complex weight of the connection shape between each contact surface of each automobile accessory sample and its adjacent contact surface. The comprehensive complex weight U of the connection shape of the contact surface of each automobile accessory sample is obtained by summing up. i .

[0047] Analyze the apparent shape complexity of each automotive parts sample

[0048] Step 2: UV aging test: Place each auto parts sample in an aging test chamber, set aging test conditions, including UV light intensity and aging time, and evaluate the apparent performance degradation coefficient of each auto parts sample.

[0049] In a specific embodiment of the present invention, the specific process of evaluating the apparent performance degradation coefficient of each automobile accessory sample is as follows: collecting the apparent images of each automobile accessory sample at the initial moment and the end moment corresponding to the aging time, extracting the apparent color of each contact surface of each automobile accessory sample at the initial moment and the end moment corresponding to the aging time based on image processing technology, and recording them as

[0050] Evaluate the apparent performance degradation coefficient of each automotive parts sample Among them, Δρ is the reference value of the apparent color change of the contact surface within the time interval between the initial moment and the end moment corresponding to the set aging time, E and T are the ultraviolet light intensity and aging time in the aging test conditions, respectively, and E0 and T0 represent the reference values ​​corresponding to the preset ultraviolet light intensity and aging time, respectively.

[0051] Step 3. Analysis of manufacturing limitations of complex shapes: Evaluate the correlation index between the apparent shape complexity and the apparent performance degradation coefficient of automotive parts, and analyze the influence coefficient μ0 of the apparent shape complexity of the unit to which the automotive parts sample belongs on the aging resistance performance.

[0052] In a specific embodiment of the present invention, the analysis method for analyzing the influence coefficient of the complex shape of the unit of the automobile parts sample on the aging resistance performance is: evaluating the correlation index between the apparent shape complexity of the automobile parts and the apparent performance degradation coefficient where η (i-1) represents the apparent performance degradation coefficient of the i-1th automotive parts sample, φ (i-1) Represents the apparent shape complexity of the i-1th automobile parts sample.

[0053] The auto parts samples are sorted in order of their apparent shape complexity from small to large, and then their apparent performance degradation coefficients are sorted in order of their secondary numbers to obtain the corresponding apparent performance degradation coefficients of each secondary sorted auto parts sample. i′ is the secondary sorting number of the automobile parts sample, i′=1,2,...,c′.

[0054] Analysis of the influence coefficient of complex shapes of automobile parts samples on aging resistance

[0055] ε0 represents the correlation index threshold between the apparent shape complexity and the apparent performance degradation coefficient of the preset automotive parts. It represents the apparent performance degradation coefficient corresponding to the i′+1th secondary sorted automobile parts sample, and c′ is the number of automobile parts samples.

[0056] Specifically, when ε≥ε0, it indicates that there is a correlation between the apparent shape complexity of the automobile part and the apparent performance degradation coefficient; when ε<ε0, it indicates that there is no correlation between the apparent shape complexity of the automobile part and the apparent performance degradation coefficient.

[0057] It means that the more complex the appearance of the auto parts is, the greater the apparent performance degradation coefficient is; It means that the more complex the appearance of an automotive part is, the smaller its apparent performance degradation coefficient is.

[0058] The present invention sorts the auto parts samples according to the apparent shape complexity and associates their corresponding apparent performance decay coefficients, deeply reveals the intrinsic relationship between the shape complexity and aging resistance of auto parts, and can more accurately evaluate the aging resistance of parts with different shape complexities. This quantitative analysis not only helps to understand the mechanism of action between shape complexity and aging resistance, but also provides specific optimization directions for product design. For example, we can adjust the shape design of the accessories according to the analysis results to reduce stress concentration and material waste, thereby improving its aging resistance.

[0059] Step 4: Analysis of internal structural defects of accessories: Identify the internal structure of each automotive accessory sample and evaluate the fusion defect coefficient of the components corresponding to the PP resin content of each automotive accessory sample.

[0060] In a specific embodiment of the present invention, the method for evaluating the fusion defect coefficient of the component corresponding to the PP resin content of each automobile accessory sample is as follows: X-rays penetrate the material of each automobile accessory sample, and form a detection image on a detector, extract the texture features of the fusion defect of the PP resin and the glass fiber from the data storage end of the accessory sample, and then identify each fusion defect area of ​​the PP resin and the glass fiber in each automobile accessory sample from the detection image based on image processing technology, and extract the area S of each fusion defect area of ​​each automobile accessory sample. iz .

[0061] Evaluate the fusion defect coefficient of the corresponding components of the PP resin content of each automotive parts sample Where S0 represents the set reference defect area, z is the number of the fused defect area, z = 1, 2, ..., g, and π is 360 degrees.

[0062] Step 5: Hygroscopicity test: Conduct hygroscopicity test on each auto parts sample to evaluate the hygroscopicity performance index τ of each auto parts sample i Based on this, the influence coefficient δ of the PP resin content of each auto parts sample on the aging resistance of auto parts is determined i .

[0063] In a specific embodiment of the present invention, the process of evaluating the moisture absorption performance index of each automobile accessory sample is as follows: recording the moisture absorption rate and moisture absorption amount of each automobile accessory sample under each humidity environment, respectively denoted as υ iw ,q iw , w is the number of the humidity environment, w=1,2,...,t.

[0064] Evaluate the moisture absorption performance index of various automotive parts samples Where υ0 and q0 represent the reference moisture absorption rate and reference moisture absorption amount corresponding to the specified humidity environment, t represents the number of set environments, and I wIt represents the wth humidity environment, and I0 represents the specified humidity environment.

[0065] The present invention evaluates the hygroscopic performance index of automotive accessories by identifying the fusion defects of PP resin and glass fiber, which can deeply understand the influence of PP resin content on the internal structure of accessories. This analysis not only reveals the intrinsic connection between material composition and accessory performance, but also provides us with important clues on how to optimize material selection and ratio.

[0066] In a specific embodiment of the present invention, the corresponding calculation formula for determining the influence coefficient of the PP resin content of each automobile accessory sample on the aging resistance of the automobile accessory is: e is a natural constant.

[0067] Step 6. PP resin content analysis: Analyze the isotropic coefficient of the material components of the automotive parts samples, and determine the impact rate of the unit change content of PP resin on the aging resistance of automotive parts.

[0068] In a specific embodiment of the present invention, the process of analyzing the isoquantity coefficient of the material components of the automobile parts samples is as follows: the content Q of various material components of each automobile parts sample is obtained from the parts sample data storage end. ih , analyze the isotropic coefficient of the material components of the automotive parts samples Where Q (i-1)h is the content of the hth material component of the i-1th automobile parts sample, ΔQ is the reference value of the difference between the contents of a single material component of two set automobile parts samples, h is the type number of the material, h = 1, 2, ..., ν, ν is the number of material types, and c is the number of automobile parts samples.

[0069] In a specific embodiment of the present invention, the process for determining the influence rate of the unit change content of PP resin on the aging resistance of automobile parts is as follows: taking the content of each PP resin as the horizontal coordinate and the influence coefficient of the PP resin content of each automobile part sample on the aging resistance of automobile parts as the vertical coordinate, a coordinate system is constructed to obtain a curve of the influence coefficient of the aging resistance of automobile parts changing with the PP resin content.

[0070] Extract the number of curve peaks. If the number of curve peaks is less than 1, the curve shape is determined to be nearly linear, and then the curve is approximated as a straight line. Get the bisection points of the two endpoints of the curve, respectively extract the straight line segments between the two endpoints of the curve and their bisection points, and then extract the coordinates of the bisection points P1(χ1,y1) and P2(χ2,y2) of the two straight line segments. It is the influence rate of unit change content of PP resin on the aging resistance of automotive parts.

[0071] If the number of curve peaks is greater than 1, extract each peak point and its adjacent valley point in the curve, use them as the two endpoints of the line segment, obtain the line segment to which each peak point belongs, and extract the slope κ′ of the line segment to which each peak point belongs p , and then is the influence rate of unit change content of PP resin on the aging resistance of automobile parts, p is the number of the peak point, p = 1, 2, ..., f.

[0072] Specifically, the horizontal axis of the coordinate system is to sort the PP resin content from small to large. When the curve rises evenly, When the curve is uniformly descending,

[0073] The present invention can accurately determine the influence rate of unit change content of PP resin on the aging resistance of automobile parts by analyzing the isomeric coefficient of material components to which automobile parts samples belong, which is helpful to predict the aging resistance of automobile parts under different PP resin contents.

[0074] Step 7. Performance evaluation of accessories from the same batch: Based on the influence coefficient of the unit apparent shape complexity of the automotive accessories sample on the aging resistance, and the influence rate of the unit change content of PP resin on the aging resistance of automotive accessories, the aging resistance of other automotive accessories from the same batch can be quickly determined.

[0075] In a specific embodiment of the present invention, the specific method for quickly determining other aging resistance properties of the same batch is: obtaining the corresponding designated auto parts of the same batch, and based on the apparent shape complexity analysis method of each auto part sample, similarly obtaining the apparent shape complexity of the designated auto parts

[0076] Extract the PP resin content of the specified auto parts from the parts sample data storage terminal Analyze the quantitative value of the comprehensive aging resistance of specified auto parts corresponding to the PP resin content of the auto parts

[0077] The present invention quickly determines the aging resistance of automobile parts in the same batch by combining the influence coefficient of the unit apparent shape complexity of the automobile parts sample on the aging resistance and the influence rate of the unit change content of PP resin on the aging resistance of the automobile parts. This greatly shortens the evaluation cycle, improves the evaluation efficiency, and helps manufacturers to understand the product quality status in a timely manner.

[0078] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts, characterized in that: The method comprises the following steps: Step 1: Apparent shape complexity analysis: Collect auto parts samples with different PP resin contents from the same batch and analyze the apparent shape complexity of each auto parts sample. , is the number of the auto parts sample, ; Step 2: UV aging test: Place each auto parts sample in an aging test chamber, set aging test conditions, including UV light intensity and aging time, and evaluate the apparent performance degradation coefficient of each auto parts sample; Step 3: Analysis of manufacturing limitations of complex shapes: Evaluate the correlation index between the apparent shape complexity of automotive parts and the apparent performance degradation coefficient, and analyze the influence coefficient of the apparent shape complexity of the unit to which the automotive parts sample belongs on the aging resistance performance ; Step 4: Analysis of internal structural defects of accessories: Identify the internal structure of each auto parts sample and evaluate the fusion defect coefficient of the corresponding component of the PP resin content of each auto parts sample; Step 5: Hygroscopicity test: Conduct hygroscopicity test on each auto parts sample to evaluate the hygroscopicity performance index of each auto parts sample. Based on this, the influence coefficient of the PP resin content of each auto parts sample on the aging resistance of auto parts is determined; Step 6. PP resin content analysis: Analyze the isotropic coefficient of the material components of the auto parts sample, and determine the influence rate of the unit change content of PP resin on the aging resistance of auto parts; Step 7. Performance evaluation of accessories from the same batch: Quickly determine the aging resistance of other automotive accessories from the same batch.

2. The method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts according to claim 1 is characterized in that: The steps for analyzing the apparent shape complexity of each automobile parts sample are as follows: The number of contact surfaces and the geometric shapes of each contact surface of the corresponding automobile parts sample are extracted from the surface shape contour model of each automobile parts sample, and the geometric characteristic parameters of the corresponding geometric shapes of each contact surface of each automobile parts sample are extracted. , is the contact surface number, , is the number of the geometric feature parameter, ; Calculate the shape complexity influence factor of each contact surface of each automotive parts sample ,in Indicates The specified baseline value of the geometric feature parameters, Indicates Number of contact surfaces of each automotive component sample; The connection shape between each contact surface and its adjacent contact surface of each automobile accessory sample is obtained from the apparent shape contour model of each automobile accessory sample, and the connection shape between each contact surface and its adjacent contact surface of each automobile accessory sample is compared with the preset complex weights corresponding to various connection shape features to obtain the complex weight of the connection shape between each contact surface and its adjacent contact surface of each automobile accessory sample, and the comprehensive complex weight of the connection shape of the contact surface of each automobile accessory sample is obtained by summing up. ; Analyze the apparent shape complexity of each automotive parts sample .

3. A method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts according to claim 2, characterized in that: The specific process of evaluating the apparent performance degradation coefficient of each automotive parts sample is as follows: The apparent images of each automobile parts sample at the initial and final time corresponding to the aging time are collected, and the apparent color of each contact surface of each automobile parts sample corresponding to the initial and final time of the aging time is extracted based on image processing technology, which are recorded as ; Evaluate the apparent performance degradation coefficient of each automotive parts sample ,in The reference value of the change in apparent color of the contact surface within the time interval between the initial moment and the end moment corresponding to the set aging time, are the UV intensity and aging time in the aging test conditions, They respectively represent the preset UV light intensity and aging time corresponding to the reference values.

4. The method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts according to claim 3 is characterized in that: The corresponding analysis method for analyzing the influence coefficient of the apparent shape complexity of the unit of the automobile parts sample on the aging resistance performance is: Evaluate the correlation index between the apparent shape complexity and the apparent performance degradation coefficient of automotive parts ,in Indicates The apparent performance degradation coefficient of the automotive parts samples, Indicates The apparent shape complexity of the automotive parts samples; The auto parts samples are sorted in order of their apparent shape complexity from small to large, and then their apparent performance degradation coefficients are sorted in order of their secondary numbers to obtain the corresponding apparent performance degradation coefficients of each secondary sorted auto parts sample. , It is the secondary sorting number of the auto parts sample. ; Analysis of the influence coefficient of the apparent shape complexity of the unit of automobile parts samples on the aging resistance , Indicates the correlation index threshold between the apparent shape complexity and the apparent performance degradation coefficient of the preset automotive parts, Indicates The apparent performance degradation coefficients corresponding to the second-ordered automobile parts samples are: is the number of auto parts samples.

5. The method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts according to claim 1, characterized in that: The method for evaluating the fusion defect coefficient of the components corresponding to the PP resin content of each automotive parts sample is as follows: X-rays penetrate the materials of each auto parts sample and form a detection image on the detector to identify the fusion defect areas of PP resin and glass fiber in each auto parts sample and extract the area of ​​each fusion defect area of ​​each auto parts sample ; Evaluate the fusion defect coefficient of the corresponding components of the PP resin content of each automotive parts sample ,in Indicates setting the reference defect area. is the number of the fusion defect area, , It is 360 degrees.

6. A method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts according to claim 5, characterized in that: The process of evaluating the moisture absorption performance index of each automotive parts sample is as follows: Record the moisture absorption rate and moisture absorption amount of each automotive parts sample under each humidity environment, and record them as , , is the humidity environment number, ; Evaluate the moisture absorption performance index of each automotive parts sample ,in They represent the reference moisture absorption rate and reference moisture absorption amount corresponding to the specified humidity environment. Indicates the number of set environments. Indicates Humidity environment, Indicates the specified humidity environment.

7. The method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts according to claim 1, characterized in that: The corresponding calculation formula for determining the influence coefficient of the PP resin content of each auto parts sample on the aging resistance of auto parts is: , e is a natural constant.

8. The method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts according to claim 7, characterized in that: The process of analyzing the isotropic coefficient of the material components of the automobile parts samples is as follows: obtaining the content of various material components of each automobile parts sample , analyze the isotropic coefficient of the material components of the automotive parts samples ,in For the The auto parts sample belongs to The content of material ingredients, The reference value for the difference in content of a single material component between the two samples of automotive parts is set. is the type number of the material, , is the number of material types, is the number of auto parts samples.

9. The method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts according to claim 8, characterized in that: The process for determining the influence rate of the unit change content of PP resin on the aging resistance of automobile parts is as follows: With the content of each PP resin as the horizontal coordinate and the influence coefficient of the PP resin content of each auto parts sample on the anti-aging performance of auto parts as the vertical coordinate, a coordinate system is constructed to obtain a curve of the influence coefficient of the anti-aging performance of auto parts changing with the PP resin content; Extract the number of curve peaks. If the number of curve peaks is less than 1, the curve shape is determined to be nearly linear, and the curve is approximated as a straight line. Get the bisection points of the two endpoints of the curve, extract the straight line segments between the two endpoints of the curve and their bisection points, and then extract the coordinates of the bisection points to which these two straight line segments belong. , ,by The influence rate of unit change content of PP resin on the aging resistance of automobile parts; If the number of curve peaks is greater than 1, extract each peak point and its adjacent valley point in the curve, use them as the two endpoints of the line segment, obtain the line segment to which each peak point belongs, and extract the slope of the line segment to which each peak point belongs. , and then is the influence rate of unit change content of PP resin on the aging resistance of automotive parts, is the number of the peak point, .

10. A method for detecting and analyzing the aging resistance of glass fiber reinforced PP plastic automobile parts according to claim 9, characterized in that: The specific method for quickly determining other aging resistance properties of the same batch is: Obtain the corresponding specified auto parts of the same batch, and based on the apparent shape complexity analysis method of each auto parts sample, obtain the apparent shape complexity of the specified auto parts in the same way ; Extract the PP resin content of specified automotive parts , analyze the quantitative value of the comprehensive aging resistance of the specified auto parts corresponding to the PP resin content of the auto parts .

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