Method for testing physical properties of triangular arm profile

Abstract

The invention relates to the technical field of physical performance testing of complex structure materials, in particular to a triangular arm profile physical performance testing method which comprises the steps that in response to a triangular arm profile physical performance detection instruction, physical performance testing parameters fed back by performance testing equipment are read; shooting the triangular arm profile through a camera to obtain a profile detection pattern; measuring and calculating the physical deformation quantity of the triangular arm profile based on the profile detection pattern, generating a triangular arm profile physical performance evaluation report in combination with corresponding physical performance test parameters, and constructing a deformation triangle for representing the overall deformation of the triangular arm and an auxiliary triangle for representing the deformation of the strip-shaped lightening hole through the deformation pattern in combination with an image algorithm. Then, parameters such as deformation quantity, a cyclic stress fluctuation curve and test duration are input into the optimized neural network model, and a physical property evaluation report containing elastic modulus and yield strength is automatically generated.

Description

Technical Field

[0001] The present invention relates to the technical field of physical property testing of complex structure materials, and more particularly, to a method for testing the physical properties of a triangular arm profile. Background Art

[0002] In the field of physical property testing of materials, traditional methods mostly rely on direct mechanical tests (such as tensile and compression) or local deformation monitoring techniques based on strain gauges and sensors. For complex structural components (such as triangular arm profiles), the evaluation of their physical properties requires comprehensive consideration of multi-dimensional parameters such as multi-point force deformation, material fatigue characteristics, and geometric stability. However, the existing technologies have the following limitations: First, conventional mechanical tests require destructive sampling and cannot completely track the deformations of multiple parts of the same component; Second, the detection means based on strain gauges can only obtain local strain data and are difficult to reflect the overall deformation distribution of complex geometric structures (such as arm bodies with weight-reducing holes and multi-bushing connection points). Therefore, there is an urgent need for a non-destructive physical property testing method that can integrate multi-source data to achieve intelligent evaluation of the deformations and properties of complex metal components. Summary of the Invention

[0003] The purpose of the present invention is to provide a method for testing the physical properties of a triangular arm profile to improve the technical problem that the conventional physical property testing of materials cannot track the deformations of multiple parts of complex components.

[0004] To achieve the above purpose, the embodiments of the present application provide the following technical solutions: On the one hand, the embodiments of the present application provide a method for testing the physical properties of a triangular arm profile, the method comprising: in response to a physical property detection instruction of the triangular arm profile, reading physical property test parameters fed back by a performance testing device, the physical property test parameters including cyclic force fluctuation curves of each fulcrum of the triangular arm profile and a test duration; placing the triangular arm profile after physical property testing on a physical deformation detection table to enable a camera above the physical deformation detection table to photograph the triangular arm profile, thereby obtaining a profile detection pattern; calculating the physical deformation amount of the triangular arm profile after physical property testing based on the profile detection pattern, and generating a physical property evaluation report of the triangular arm profile in combination with the corresponding physical property test parameters, the physical property evaluation report of the triangular arm profile including elastic modulus, yield strength, or fatigue life of multiple key parts in the triangular arm profile; Among them, calculating the physical deformation quantity of the triangular arm profile based on the profile detection drawing includes: identifying the reference points of the large bushing, small bushing, and ball joint pin in the triangular arm profile through an image recognition algorithm based on the profile detection drawing, and constructing a deformation triangle based on the three reference points; constructing the contour of the strip-shaped weight reduction hole in the triangular arm profile through an image recognition algorithm based on the profile detection drawing, and constructing a triangular arm profile model after deformation of the middle section of the arm body based on the contour of the strip-shaped weight reduction hole, and constructing an auxiliary triangle based on the triangular arm profile model after deformation of the middle section of the arm body; calculating the physical deformation quantity of each connection end of the arm body in the triangular arm profile based on the offset and offset angle between the reference points in the auxiliary triangle and the deformation triangle.

[0005] Optionally, identifying the reference points of the large bushing, small bushing, and ball joint pin in the triangular arm profile through an image recognition algorithm based on the profile detection drawing includes: Identifying multiple key regions in the drawing to be inspected based on the shape-based image feature extraction algorithm, where the key regions include the large bushing feature region, small bushing feature region, ball joint pin feature region, and strip-shaped weight reduction hole feature region; Constructing the large bushing contour in the large bushing feature region based on the shape-based image feature extraction algorithm, and marking the geometric center of the large bushing contour as the first reference point corresponding to the large bushing feature region; Identifying the lower edge line of the small bushing in the small bushing feature region based on the color-based image feature extraction algorithm, then constructing the small bushing contour based on the lower edge line and a preset virtual square frame, and marking the geometric center of the small bushing contour as the second reference point corresponding to the small bushing feature region; Identifying the outer arc surface of the ball joint pin in the ball joint pin feature region based on the color-based image feature extraction algorithm, constructing a virtual contour of the ball joint pin based on the outer arc surface of the ball joint pin and a preset shape, and obtaining the third reference point corresponding to the ball joint pin feature region based on the virtual contour of the ball joint pin.

[0006] Optionally, constructing a triangular arm profile model after deformation of the middle section of the arm body based on the contour of the strip-shaped weight reduction hole, and constructing an auxiliary triangle based on the triangular arm profile model after deformation of the middle section of the arm body, includes: Identifying the contour of the strip-shaped weight reduction hole based on the color-based image feature extraction algorithm, and identifying the regions where fractures or folds occur in the contour of the strip-shaped weight reduction hole, and then constructing multiple fracture line segments or fold line segments; Performing a mechanical distortion deformation simulation operation on the standard triangular arm profile model based on multiple fracture line segments or fold line segments, and then constructing a triangular arm profile model after deformation of the middle section of the arm body, and constructing an auxiliary triangle based on the deformed triangular arm profile model.

[0007] Optionally, calculating the physical deformation quantity of each connection end of the arm body in the triangular arm profile based on the offset and offset angle between the reference points in the auxiliary triangle and the deformation triangle, includes: Coincide the third reference point in the auxiliary triangle with the third reference point in the standard triangle, and place the second reference point in the auxiliary triangle on the extension line formed by the third reference point and the second reference point in the standard triangle, so as to obtain the offset of the second reference point, the offset of the third reference point, and the offset angle in the auxiliary triangle; Based on the offset of the second reference point, the offset of the third reference point, and the offset angle in the auxiliary triangle, correct the positions of the second reference point and the third reference point in the deformed triangle, so as to obtain the corrected deformed triangle; Overlay and compare the corrected deformed triangle with the standard triangle, so as to obtain the offset of the second reference point, the offset of the third reference point, and the offset angle in the corrected deformed triangle; Based on the offset of the second reference point, the offset of the third reference point, and the offset angle in the corrected deformed triangle, find the physical deformation amounts of the connection ends of the arm body in the triangular arm profile in the experimental parameter comparison table.

[0008] Optionally, after finding the physical deformation amounts of the connection ends of the arm body in the triangular arm profile in the experimental parameter comparison table, it further includes: Input the physical deformation amounts of the connection ends of the arm body into a preset physical property evaluation model, so that the physical property evaluation model outputs a physical property evaluation report corresponding to the connection ends of the arm body in the triangular arm profile. The physical property evaluation report includes the elastic modulus, yield strength, and fatigue life of the connection ends of the arm body in the triangular arm profile. The physical property evaluation model is a neural network model trained based on geometric deformation parameters and load history data, and is used to associate and store the mapping relationship between the physical deformation amounts, load conditions, and physical property parameters of the triangular arm profile.

[0009] The beneficial effects of the present invention are as follows: By using a camera to capture the deformation pattern of the triangular arm profile after physical property testing and combining image algorithms to construct a deformed triangle for characterizing the overall deformation of the triangular arm and an auxiliary triangle for characterizing the deformation of the strip-shaped weight-reducing holes, the present invention realizes multi-site deformation tracking of the triangular arm profile from the whole to the local. Then, the deformation amounts, cyclic stress fluctuation curves, test duration and other parameters are input into the optimized neural network model to automatically generate a physical property evaluation report including elastic modulus and yield strength, solving the problems of data isolation and dependence on manual experience in traditional methods.

[0010] Other features and advantages of the present invention will be described in the subsequent specification, and, in part, will become apparent from the specification, or can be understood by implementing the embodiments of the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structures specifically pointed out in the written specification, claims, and drawings. Description of the Drawings

[0011] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0012] Figure 1 It is a schematic flow diagram of a method for testing the physical properties of a triangular arm profile described in the embodiments of the present invention. Specific embodiments

[0013] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but merely represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0014] It should be noted that similar reference numerals or letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present invention, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0015] Embodiment 1: Before elaborating on the principle, it is necessary to briefly describe the structure of the existing automotive triangular arm. The triangular arm has an arm body and large bushings, small bushings, and ball joints connected to the arm body. Secondly, in order to reduce the weight of the triangular arm, corresponding strip-shaped weight reduction holes are provided on the arm body. When performing fatigue tests on the triangular arm profile, the physical deformation of the triangular arm mainly concentrates on the strip-shaped weight reduction holes and the connection ends of the arm body with the large bushings, small bushings, and ball joints (the connection ends are welded, resulting in the fatigue resistance of this part being significantly less than that of other integrally formed non-drilled parts of the arm body).

[0016] The difficulty in detecting the physical deformation of the triangular arm lies in the deformation detection of the connection ends of the arm body with the large bushings, small bushings, and ball joints. And this embodiment provides a specific way to detect the deformation of the connection ends. The brief principle of this detection method is: A deformation triangle is constructed based on the reference points of the large bushing, small bushing, and ball pin. The deformation triangle is used to comprehensively characterize the deformation of the triangular arm, which consists of two deformations, namely the deformation of the strip-shaped weight-reducing hole and the deformation of the connecting end. The deformation recognition of the strip-shaped weight-reducing hole is relatively simple. Specific-color paint can be brushed on the edge of the hole before fatigue testing to reduce the recognition difficulty of the later image algorithm. Based on the shape of the recognized strip-shaped weight-reducing hole that has already undergone deformation, a corresponding deformed triangular arm is constructed on 3D simulation software. The deformation of this triangular arm is only caused by the deformation of the strip-shaped weight-reducing hole. Therefore, an auxiliary triangle constructed based on the reference points of the large bushing, small bushing, and ball pin of the deformed triangular arm can correct the deformation triangle to a certain extent, enabling the corrected deformation triangle to represent as many physical deformation parameters of the connecting end as possible. Then, these deformation parameters are input into a preset neural network model to obtain the mechanical property data of the current triangular arm profile at multiple connecting ends of the arm body. The following is the specific implementation method of the above principle: As Figure 1 shown, this embodiment provides a method for testing the physical properties of a triangular arm profile. The method includes step S100, step S200, and step S300.

[0017] Step S100: In response to the physical property detection instruction of the triangular arm profile, read the physical property test parameters fed back by the performance test equipment. The physical property test parameters include the cyclic force fluctuation curves and test duration of each fulcrum of the triangular arm profile, which are used to simulate the anti-fatigue performance of the triangular arm in a harsh environment. Step S200: Place the triangular arm profile after physical property testing on the physical deformation detection table so that the camera above the physical deformation detection table can take pictures of the triangular arm profile to obtain a profile detection pattern. The physical deformation detection table is a customized detection table for the triangular arm, and its support points are the solid parts of the arm body, which hardly deform during fatigue testing, thus avoiding the position errors caused by the placement position and angle of the three reference points of the triangular arm in the later stage. The detection method with a fixed camera position and fixed placement point helps to unify the training parameters of the later neural network model.

[0018] Step S300: Calculate the physical deformation amount of the triangular arm profile after physical property testing based on the profile detection pattern, and generate a physical property evaluation report of the triangular arm profile in combination with the corresponding physical property test parameters. The physical property evaluation report of the triangular arm profile includes the elastic modulus, yield strength, or fatigue life of multiple key parts in the triangular arm profile. Here, the physical deformation amount is mainly manifested in the positional relationship between the three key reference points.

[0019] In this embodiment, after the physical performance test of the triangular arm profile, the deformation pattern is captured by a camera, and an image algorithm is combined to construct a deformation triangle for characterizing the overall deformation of the triangular arm and an auxiliary triangle for characterizing the deformation of the strip-shaped weight-reducing hole, so as to realize the multi-site deformation tracking of the triangular arm profile from the whole to the local. Then, the deformation amount, the cyclic stress fluctuation curve, the test duration and other parameters are input into the optimized neural network model to automatically generate a physical performance evaluation report including the elastic modulus and yield strength, solving the problems of data isolation and dependence on manual experience in the traditional method.

[0020] Among them, calculating the physical deformation amount of the triangular arm profile after the physical test based on the profile detection pattern in step S300 includes: Step S310: Based on the profile detection pattern, use an image recognition algorithm to identify the reference points of the large bushing, small bushing and ball head pin in the triangular arm profile, and construct a deformation triangle based on the three reference points; The specific identification method of the reference points of the large bushing, small bushing and ball head pin is as follows: Step S311: Based on the image feature extraction algorithm of the shape class, identify multiple key regions in the pattern to be detected. The key regions include the large bushing feature region, the small bushing feature region, the ball head pin feature region and the strip-shaped weight-reducing hole feature region; Step S312: Based on the image feature extraction algorithm of the shape class, construct the large bushing contour in the large bushing feature region, and mark the geometric center of the large bushing contour as the first reference point corresponding to the large bushing feature region; Step S313: Based on the image feature extraction algorithm of the color class, identify the lower edge line of the small bushing in the small bushing feature region, then construct the small bushing contour based on the lower edge line and a preset virtual square frame, and mark the geometric center of the small bushing contour as the second reference point corresponding to the small bushing feature region; Step S314: Based on the image feature extraction algorithm of the color class, identify the outer arc surface of the ball head pin in the ball head pin feature region, construct a virtual contour of the ball head pin based on the outer arc surface of the ball head pin and a preset shape, and obtain the third reference point corresponding to the ball head pin feature region based on the virtual contour of the ball head pin.

[0021] Step S320: Based on the profile detection pattern, use an image recognition algorithm to construct the strip-shaped weight-reducing hole contour in the triangular arm profile, construct a triangular arm profile model after deformation in the middle section of the arm body based on the strip-shaped weight-reducing hole contour, and construct an auxiliary triangle based on the triangular arm profile model after deformation in the middle section of the arm body. The specific implementation method is as follows: Step S321: Identify the contour of the strip-shaped weight-reducing holes based on the image feature extraction algorithm for color classes, and mark the areas where fractures or wrinkles occur in the contour of the strip-shaped weight-reducing holes, and then construct multiple fracture segments or wrinkle segments; the fracture segments or wrinkle segments are used as deformation parameters in the SolidWorks 3D simulation software to simulate the deformed model of the standard model after corresponding fractures or wrinkles appear in the contour of the strip-shaped weight-reducing holes. Step S322: Perform a mechanical distortion deformation simulation operation on the standard triangular arm profile model based on multiple fracture segments or wrinkle segments, and then construct a triangular arm profile model after deformation of the middle section of the arm body, and construct an auxiliary triangle based on the deformed triangular arm profile model.

[0022] Step S330: Calculate the physical deformation amounts of the connection ends of each arm body in the triangular arm profile based on the offset amounts and offset angles between the reference points in the auxiliary triangle and the deformed triangle. This embodiment mainly elaborates on the calculation method of the physical deformation amounts of the connection ends of each arm body in the triangular arm profile and the specific implementation method of obtaining the physical performance evaluation report of each connection part in the triangular arm profile based on the physical deformation amounts. Step S331: Coincide the third reference point in the auxiliary triangle with the third reference point in the standard triangle, and place the second reference point in the auxiliary triangle on the extension line formed by the third reference point and the second reference point in the standard triangle, and then obtain the offset amount of the second reference point, the offset amount of the third reference point, and the offset angle in the auxiliary triangle. Step S332: Correct the positions of the second reference point and the third reference point in the deformed triangle based on the offset amount of the second reference point, the offset amount of the third reference point, and the offset angle in the auxiliary triangle, and then obtain the corrected deformed triangle. Step S333: Superimpose and compare the corrected deformed triangle with the standard triangle, and then obtain the offset amount of the second reference point, the offset amount of the third reference point, and the offset angle in the corrected deformed triangle. Step S334: Find the physical deformation amounts of the connection ends of each arm body in the triangular arm profile in the experimental parameter comparison table based on the offset amount of the second reference point, the offset amount of the third reference point, and the offset angle in the corrected deformed triangle. The data in the experimental reference table are control data generated by combining the triangular arm without strip-shaped weight-reducing holes with a mechanical analysis software. The control data are corrected through multiple groups of control data, and then the correlation of the position relationship between the three reference points corresponding to different deformation amounts is generated. Step S335: Input the physical deformation amounts of each connection end of the arm body into a preset physical performance evaluation model, so that the physical performance evaluation model outputs a physical performance evaluation report corresponding to each connection end of the arm body in the triangular arm profile. The physical performance evaluation report includes the elastic modulus, yield strength, and fatigue life of each connection end of the arm body in the triangular arm profile. The physical performance evaluation model is a neural network model trained based on geometric deformation parameters and load history data, and is used to associate and store the mapping relationship between the physical deformation amount, load condition, and physical performance parameters of the triangular arm profile. Among them, the cyclic stress fluctuation curve, that is, the load curve, is several sets of fixed preset load curves. The main difference between multiple physical performance test parameters is the cyclic test duration.

[0023] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A physical property testing method for a triangular arm profile, characterized in that, The method includes: In response to a physical property detection instruction for a triangular arm profile, reading physical property test parameters fed back by a performance test device, where the physical property test parameters include the cyclic force fluctuation curves and test duration of each fulcrum of the triangular arm profile; Placing the triangular arm profile after physical property testing on a physical deformation detection table, so that a camera above the physical deformation detection table photographs the triangular arm profile, thereby obtaining a profile detection pattern; Calculating the physical deformation amount of the triangular arm profile after physical testing based on the profile detection pattern, and generating a physical property evaluation report for the triangular arm profile in combination with the corresponding physical property test parameters, where the physical property evaluation report for the triangular arm profile includes the elastic modulus, yield strength or fatigue life of multiple key parts in the triangular arm profile; Among them, calculating the physical deformation amount of the triangular arm profile based on the profile detection pattern includes: Based on the profile detection pattern, identifying reference points of the large bushing, small bushing and ball head pin in the triangular arm profile through an image recognition algorithm, and constructing a deformation triangle based on the three reference points; Based on the profile detection pattern, constructing the contour of the strip-shaped weight-reducing hole in the triangular arm profile through an image recognition algorithm, constructing a triangular arm profile model after deformation of the middle section of the arm body based on the contour of the strip-shaped weight-reducing hole, and constructing an auxiliary triangle based on the triangular arm profile model after deformation of the middle section of the arm body; Calculating the physical deformation amount of each connection end of the arm body in the triangular arm profile based on the offset and offset angle between the reference points in the auxiliary triangle and the deformation triangle; 2. The physical property testing method for the triangular arm profile according to claim 1, characterized in that Identifying reference points of the large bushing, small bushing and ball head pin in the triangular arm profile through an image recognition algorithm based on the profile detection pattern, including: Identifying multiple key regions in the pattern to be inspected based on a shape-based image feature extraction algorithm, where the key regions include a large bushing feature region, a small bushing feature region, a ball head pin feature region and a strip-shaped weight-reducing hole feature region; Constructing a large bushing contour in the large bushing feature region based on a shape-based image feature extraction algorithm, and marking the geometric center of the large bushing contour as the first reference point corresponding to the large bushing feature region; Identifying the lower edge line of the small bushing in the small bushing feature region based on a color-based image feature extraction algorithm, then constructing a small bushing contour based on the lower edge line and a preset virtual square frame, and marking the geometric center of the small bushing contour as the second reference point corresponding to the small bushing feature region; Identifying the outer end arc surface of the ball head pin in the ball head pin feature region based on a color-based image feature extraction algorithm, constructing a virtual contour of the ball head pin based on the outer end arc surface of the ball head pin and a preset shape, and obtaining the third reference point corresponding to the ball head pin feature region based on the virtual contour of the ball head pin; 3. The physical property testing method of the triangular arm profile according to claim 2, characterized in that, And constructing a triangular arm profile model after deformation of the middle section of the arm body based on the contour of the strip-shaped weight-reducing hole, and constructing an auxiliary triangle based on the triangular arm profile model after deformation of the middle section of the arm body, including: Identifying the contour of the strip-shaped weight-reducing hole based on a color-based image feature extraction algorithm, and identifying the regions where fractures or wrinkles appear in the contour of the strip-shaped weight-reducing hole, thereby constructing multiple fracture line segments or wrinkle line segments; Perform a mechanical distortion deformation simulation operation on the standard triangular arm profile model based on multiple broken line segments or folded line segments, and then construct a triangular arm profile model after the deformation of the middle section of the arm body, and construct an auxiliary triangle based on the deformed triangular arm profile model.

4. The physical property testing method for the triangular arm profile according to claim 3, characterized in that, Calculate the physical deformation amounts of each connection end of the arm body in the triangular arm profile based on the offset amounts and offset angles between the reference points in the auxiliary triangle and the deformed triangle, including: Coincide the third reference point in the auxiliary triangle with the third reference point in the standard triangle, and place the second reference point in the auxiliary triangle on the extension line formed by the third reference point and the second reference point in the standard triangle, so as to obtain the offset amount of the second reference point, the offset amount of the third reference point, and the offset angle in the auxiliary triangle; Modify the positions of the second reference point and the third reference point in the deformed triangle based on the offset amount of the second reference point, the offset amount of the third reference point, and the offset angle in the auxiliary triangle, so as to obtain the modified deformed triangle; Overlay and compare the modified deformed triangle with the standard triangle, so as to obtain the offset amount of the second reference point, the offset amount of the third reference point, and the offset angle in the modified deformed triangle; Find the physical deformation amounts of each connection end of the arm body in the triangular arm profile in the experimental parameter comparison table based on the offset amount of the second reference point, the offset amount of the third reference point, and the offset angle in the modified deformed triangle.

5. The physical property testing method for the triangular arm profile according to claim 4, characterized in that After finding the physical deformation amounts of each connection end of the arm body in the triangular arm profile in the experimental parameter comparison table, it further includes: Input the physical deformation amounts of each connection end of the arm body into a preset physical performance evaluation model, so that the physical performance evaluation model outputs a physical performance evaluation report corresponding to each connection end of the arm body in the triangular arm profile. The physical performance evaluation report includes the elastic model, yield strength, and fatigue life of each connection end of the arm body in the triangular arm profile. The physical performance evaluation model is a neural network model trained based on geometric deformation parameters and load history data, and is used to associate and store the mapping relationship between the physical deformation amounts, load conditions, and physical performance parameters of the triangular arm profile.

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