A method for testing the physical properties of triangular arm profiles

Abstract

The present invention relates to the technical field of physical property testing of complex structural materials, and specifically to a method for testing the physical properties of a triangular arm profile, comprising: responding to a physical property testing instruction of the triangular arm profile, reading physical property test parameters fed back by a performance testing device; photographing the triangular arm profile with a camera to obtain a profile detection pattern; calculating the physical deformation of the triangular arm profile 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; constructing 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 through the deformation pattern in combination with an image algorithm, thereby realizing deformation tracking of multiple parts of the triangular arm profile from the overall to the local, and then inputting the deformation amount, a cyclic force fluctuation curve, a test duration and other parameters into an optimized neural network model to automatically generate a physical property evaluation report including elastic modulus and yield strength.

Description

Technical Field

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

[0002] In the field of material physical property testing, traditional methods rely on direct mechanical testing (such as tension and compression) or local deformation monitoring techniques based on strain gauges and sensors. For complex structural components (such as triangular arm profiles), physical property evaluation requires the integration of multi-dimensional parameters such as multi-point force deformation, material fatigue properties, and geometric stability. However, existing technologies have the following limitations: First, conventional mechanical testing requires destructive sampling, making it impossible to fully track deformation at multiple locations within the same component; second, strain gauge-based testing methods can only obtain local strain data, making it difficult to reflect the overall deformation distribution of complex geometric structures (such as arms with lightening holes and multiple bushing connections). Therefore, a non-destructive physical property testing method that can integrate multi-source data is urgently needed to achieve intelligent evaluation of the deformation and performance 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 triangular arm profiles to improve the technical problem that the above-mentioned conventional material physical properties test cannot track the deformation of multiple parts of complex components.

[0004] In order to achieve the above objectives, the embodiments of the present application provide the following technical solutions:

[0005] On the one hand, an embodiment of the present application provides a method for testing the physical properties of a triangular arm profile, the method comprising: responding to a physical property testing instruction for the triangular arm profile, reading physical property test parameters fed back by a performance testing device, the physical property test parameters including a cyclic force fluctuation curve of each fulcrum of the triangular arm profile and a test duration; placing the triangular arm profile after the physical property test on a physical deformation variable testing platform, so that a camera above the physical deformation variable testing platform captures the triangular arm profile, thereby obtaining a profile detection pattern; calculating the physical deformation variable of the triangular arm profile after the physical property test 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, the physical property evaluation report for the triangular arm profile including elastic modulus, yield strength or fatigue life of multiple key parts in the triangular arm profile;

[0006] Among them, the physical deformation of the triangular arm profile is calculated based on the profile detection pattern, including: identifying the reference points of the large bushing, small bushing and ball pin in the triangular arm profile through an image recognition algorithm based on the profile detection pattern, and constructing a deformation triangle based on the three reference points; constructing the outline of the strip weight-reducing hole in the triangular arm profile through an image recognition algorithm based on the profile detection pattern, and constructing a triangular arm profile model after the middle section of the arm body is deformed based on the outline of the strip weight-reducing hole, and constructing an auxiliary triangle based on the triangular arm profile model after the middle section of the arm body is deformed; the physical deformation of each connection end of the arm body in the triangular arm profile is calculated based on the offset and offset angle between each reference point in the auxiliary triangle and the deformation triangle.

[0007] Optionally, the reference points of the large bushing, small bushing, and ball stud in the triangular arm profile are identified by an image recognition algorithm based on the profile detection pattern, including:

[0008] The shape-based image feature extraction algorithm identifies multiple key areas in the inspection pattern, including the large bushing feature area, the small bushing feature area, the ball stud feature area, and the strip-shaped weight-reducing hole feature area.

[0009] The image feature extraction algorithm based on shape class constructs the large bushing outline in the large bushing feature area, and marks the geometric center of the large bushing outline as the first reference point corresponding to the large bushing feature area;

[0010] The color-based image feature extraction algorithm identifies the lower edge straight line of the small bushing within the small bushing feature area, then constructs the small bushing outline based on the lower edge straight line and a preset virtual square frame, and marks the geometric center of the small bushing outline as the second reference point corresponding to the small bushing feature area;

[0011] An image feature extraction algorithm based on color class identifies the arc surface of the outer end of the ball pin in the ball pin feature area, and constructs a virtual contour of the ball pin based on the arc surface of the outer end of the ball pin and a preset shape. Based on the virtual contour of the ball pin, a third reference point corresponding to the ball pin feature area is obtained.

[0012] Optionally, a triangular arm profile model of the arm body after deformation is constructed based on the contour of the strip-shaped weight-reducing hole, and an auxiliary triangle is constructed based on the triangular arm profile model of the arm body after deformation, including:

[0013] The color-based image feature extraction algorithm identifies the outline of the strip-shaped weight-reducing hole and marks the areas where fractures or wrinkles appear in the outline of the strip-shaped weight-reducing hole, thereby constructing multiple fracture line segments or wrinkle line segments.

[0014] Based on multiple fracture segments or wrinkle segments, a mechanical distortion deformation simulation operation is performed on the standard triangular arm profile model, and then a triangular arm profile model after deformation of the middle section of the arm is constructed, and an auxiliary triangle is constructed based on the deformed triangular arm profile model.

[0015] Optionally, the physical deformation of each connecting end of the arm body in the triangular arm profile is calculated based on the offset and offset angle between each reference point in the auxiliary triangle and the deformation triangle, including:

[0016] The third reference point in the auxiliary triangle is aligned with the third reference point in the standard triangle, and the second reference point in the auxiliary triangle is placed on the extension line formed by the third reference point and the second reference point in the standard triangle, thereby obtaining the offset of the second reference point in the auxiliary triangle and the offset angle of the third reference point;

[0017] Correcting the positions of the second reference point and the third reference point in the deformed triangle based on the offset of the second reference point and the offset and the offset angle of the third reference point in the auxiliary triangle, thereby obtaining a corrected deformed triangle;

[0018] The corrected deformed triangle is superimposed and compared with the standard triangle, thereby obtaining the offset of the second reference point and the offset of the third reference point and the offset angle in the corrected deformed triangle;

[0019] Based on the offset of the second reference point and the offset and offset angle of the third reference point in the modified deformation triangle, the physical deformation of each connecting end of the arm body in the triangular arm profile is found in the experimental parameter comparison table.

[0020] Optionally, after finding the physical deformation of each connecting end of the arm body in the triangular arm profile in the experimental parameter comparison table, the following steps are also included:

[0021] The physical deformation of each connecting end of the arm body is input into a preset physical performance evaluation model, and then the physical performance evaluation model outputs a physical performance evaluation report corresponding to each connecting 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 connecting 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 of the triangular arm profile, load conditions and physical performance parameters.

[0022] The beneficial effects of the present invention are:

[0023] The present invention uses a camera to capture the deformation pattern corresponding to the triangular arm profile after the physical performance test and combines it with an image algorithm 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, thereby realizing the tracking of the deformation of multiple parts of the triangular arm profile from the overall to the local. The deformation amount, cyclic force fluctuation curve, test duration and other parameters are then input into the optimized neural network model to automatically generate a physical performance evaluation report including elastic modulus and yield strength, which solves the problems of data isolation and reliance on manual experience in traditional methods.

[0024] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the embodiments of the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 It is a flow chart of a method for testing the physical properties of a triangular arm profile described in an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings herein 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 invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0028] 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 or explained in subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and should not be understood as indicating or implying relative importance.

[0029] Example 1:

[0030] Before explaining the principle, it is necessary to briefly explain the structure of the existing automobile triangle arm. The triangle arm consists of an arm body and a large bushing, a small bushing and a ball pin connected to the arm body. Secondly, in order to reduce the weight of the triangle arm, corresponding strip-shaped weight-reducing holes are set on the arm body. When the triangle arm profile is fatigue tested, the physical deformation of the triangle arm is mainly concentrated in the strip-shaped weight-reducing holes and the connecting ends of the arm body and the large bushing, the small bushing and the ball pin (the connecting ends are welded, resulting in the fatigue resistance of this part being significantly lower than other one-piece non-dug parts of the arm body).

[0031] The difficulty in detecting the physical deformation of the triangular arm lies in detecting the deformation of the connecting ends between the arm body, the large bushing, the small bushing, and the ball stud. This embodiment provides a specific method for detecting the deformation of the connecting ends. The brief principle of this detection method is as follows:

[0032] A deformation triangle is constructed based on the reference points of the large bushing, small bushing, and ball stud. This triangle is used to characterize the deformation of the triangular arm as a whole. It consists of two deformations: the deformation of the strip-shaped lightening hole and the deformation of the connecting end. The deformation of the strip-shaped lightening hole is relatively simple to identify. Before fatigue testing, the edges of the hole can be painted with a specific color to reduce the recognition difficulty of the subsequent image algorithm.

[0033] Based on the identified shape of the deformed strip-shaped weight-reducing hole, a corresponding deformed triangular arm is constructed on the 3D simulation software. The deformation of this triangular arm is only caused by the deformation of the strip-shaped weight-reducing hole. Therefore, constructing an auxiliary triangle based on the reference points of the large bushing, small bushing and ball stud of the deformed triangular arm can correct the deformation triangle to a certain extent, so that the corrected deformation triangle can characterize the physical deformation parameters of the connection end as much as possible. Then, the deformation parameters are input into the preset neural network model to obtain the mechanical performance data of the current triangular arm profile at multiple connection ends of the arm body. The following is a specific implementation of the above principle:

[0034] like Figure 1 As shown, this embodiment provides a method for testing the physical properties of a triangular arm profile, which includes step S100, step S200 and step S300.

[0035] Step S100: In response to the jib profile physical performance test instruction, reading the physical performance test parameters fed back by the performance test equipment, wherein the physical performance test parameters include the cyclic force fluctuation curve and test duration of each support point of the jib profile, which are used to simulate the fatigue resistance of the jib in a harsh environment;

[0036] Step S200: Place the triangular arm profile after the physical performance test on the physical deformation detection platform, so that the camera above the physical deformation detection platform can shoot the triangular arm profile, and then obtain the profile detection pattern. The physical deformation detection platform is a customized detection platform for the triangular arm, and its support point is the solid part of the arm body. This part will hardly deform during the fatigue test, thereby avoiding the position error of the three reference points of the triangular arm caused by the placement position and angle in the later stage. The detection method of fixed camera position and fixed placement point is conducive to the unification of the training parameters of the later neural network model.

[0037] Step S300: Calculate the physical deformation of the triangular arm profile after the physical performance test based on the profile inspection pattern, and generate a triangular arm profile physical performance evaluation report in combination with the corresponding physical performance test parameters. The triangular arm profile physical performance evaluation report includes the elastic modulus, yield strength or fatigue life of multiple key parts in the triangular arm profile; the physical deformation here is mainly reflected in the positional relationship between the three key reference points.

[0038] In this embodiment, a camera is used to capture the deformation pattern corresponding to the triangular arm profile after the physical performance test, and an image algorithm is used 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, thereby realizing the tracking of the deformation of multiple parts of the triangular arm profile from the overall to the local. The deformation amount, cyclic force fluctuation curve, test duration and other parameters are then input into the optimized neural network model to automatically generate a physical performance evaluation report including elastic modulus and yield strength, which solves the problems of data isolation and reliance on manual experience in traditional methods.

[0039] The step S300 of calculating the physical deformation of the triangular arm profile after the physical test based on the profile detection pattern includes:

[0040] Step S310: Identify the reference points of the large bushing, small bushing, and ball stud in the triangular arm profile using an image recognition algorithm based on the profile detection pattern, and construct a deformation triangle based on the three reference points;

[0041] The specific identification method of the reference points of the large bushing, small bushing and ball stud is as follows:

[0042] Step S311: Using a shape-based image feature extraction algorithm, a plurality of key areas are identified in the pattern to be inspected, wherein the key areas include a large bushing feature area, a small bushing feature area, a ball stud feature area, and a strip-shaped weight-reducing hole feature area;

[0043] Step S312: constructing a large bushing outline in the large bushing feature area based on a shape-based image feature extraction algorithm, and marking the geometric center of the large bushing outline as a first reference point corresponding to the large bushing feature area;

[0044] Step S313: Using a color-based image feature extraction algorithm, a lower edge straight line of the small bushing is identified within the small bushing feature region. Then, a small bushing outline is constructed based on the lower edge straight line and a preset virtual square frame, and the geometric center of the small bushing outline is marked as a second reference point corresponding to the small bushing feature region.

[0045] Step S314: The color-based image feature extraction algorithm identifies the arc surface of the outer end of the ball pin in the ball pin feature area, and constructs a virtual contour of the ball pin based on the arc surface of the outer end of the ball pin and a preset shape, and obtains a third reference point corresponding to the ball pin feature area based on the virtual contour of the ball pin.

[0046] Step S320: Based on the profile detection pattern, the outline of the strip-shaped weight-reducing hole in the triangular arm profile is constructed by an image recognition algorithm, and the triangular arm profile model after the deformation of the middle section of the arm body is constructed based on the outline of the strip-shaped weight-reducing hole, and the auxiliary triangle is constructed based on the triangular arm profile model after the deformation of the middle section of the arm body. The specific implementation method is:

[0047] Step S321: Identify the outline of the strip-shaped weight-reducing hole using a color-based image feature extraction algorithm, identify areas where fractures or wrinkles occur in the outline of the strip-shaped weight-reducing hole, and then construct multiple fracture line segments or wrinkle line segments; the fracture line segments or wrinkle line segments are used as deformation parameters in SolidWorks 3D simulation software to simulate the deformation model of the standard model after corresponding fractures or wrinkles occur in the outline of the strip-shaped weight-reducing hole;

[0048] Step S322: Perform mechanical distortion simulation on the standard triangular arm profile model based on multiple fracture segments or wrinkle segments, thereby 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.

[0049] Step S330: Calculate the physical deformation of each connecting end of the arm body in the triangular arm profile based on the offset and offset angle between each reference point in the auxiliary triangle and the deformation triangle. This embodiment mainly describes a method for calculating the physical deformation of each connecting end of the arm body in the triangular arm profile and a specific implementation method for obtaining a physical performance evaluation report of each connecting portion of the arm body in the triangular arm profile based on the physical deformation.

[0050] Step S331: align 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, thereby obtaining the offset of the second reference point in the auxiliary triangle and the offset angle of the third reference point.

[0051] Step S332: correcting the positions of the second reference point and the third reference point in the deformed triangle based on the offset of the second reference point and the offset and the offset angle of the third reference point in the auxiliary triangle, thereby obtaining a corrected deformed triangle;

[0052] Step S333: Superimpose and compare the corrected deformed triangle with the standard triangle to obtain the offset of the second reference point and the offset and offset angle of the third reference point in the corrected deformed triangle;

[0053] Step S334: Based on the offset of the second reference point and the offset and offset angle of the third reference point in the corrected deformation triangle, the physical deformation of each connecting end of the arm body in the triangular arm profile is found in the experimental parameter comparison table. The data in the experimental reference table is comparison data generated by mechanical analysis software for a triangular arm without strip-shaped weight-reducing holes. The comparison data is corrected using multiple sets of comparison data, thereby generating a correlation between the positional relationships of the three reference points corresponding to different deformation amounts.

[0054] Step S335: input the physical deformation of each connecting end of the arm body into a preset physical performance evaluation model, and then enable the physical performance evaluation model to output a physical performance evaluation report corresponding to each connecting end of the arm body in the triangular arm profile, wherein the physical performance evaluation report includes the elastic model, yield strength and fatigue life of each connecting 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, load conditions and physical performance parameters of the triangular arm profile, wherein the cyclic force fluctuation curve, i.e., the load curve, is a fixed set of preset load curves, and the main difference between the multiple physical performance test parameters is the cyclic test duration.

[0055] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A method for testing the physical properties of a triangular arm profile, characterized in that: The method comprises: In response to the physical performance test instruction of the triangular arm profile, the physical performance test parameters fed back by the performance test equipment are read, wherein the physical performance test parameters include the cyclic force fluctuation curve of each support point of the triangular arm profile and the test duration; The triangular arm profile after the physical performance test is placed on the physical deformation detection platform, so that the camera above the physical deformation detection platform can shoot the triangular arm profile, thereby obtaining the profile detection pattern; Calculate the physical deformation of the triangular arm profile after physical testing based on the profile inspection pattern, and generate a triangular arm profile physical performance evaluation report based on the corresponding physical performance test parameters. The triangular arm profile physical performance evaluation report includes the elastic modulus, yield strength or fatigue life of multiple key parts of the triangular arm profile; The physical deformation of the triangular arm profile is calculated based on the profile detection pattern, including: Based on the profile detection pattern, the reference points of the large bushing, small bushing and ball stud in the triangular arm profile are identified through image recognition algorithm, and the deformation triangle is constructed based on the three reference points; Based on the profile detection pattern, the image recognition algorithm is used to construct the outline of the strip-shaped weight-reducing hole in the triangular arm profile, and based on the outline of the strip-shaped weight-reducing hole, the triangular arm profile model after the deformation of the middle section of the arm body is constructed, and based on the triangular arm profile model after the deformation of the middle section of the arm body, the auxiliary triangle is constructed; The physical deformation of each connecting end of the arm body in the triangular arm profile is calculated based on the offset and offset angle between each reference point in the auxiliary triangle and the deformation triangle; Secondly, the auxiliary triangle is constructed based on the triangular arm profile model after the deformation of the middle section of the arm body, including: The color-based image feature extraction algorithm identifies the outline of the strip-shaped weight-reducing hole and marks the areas where fractures or wrinkles appear in the outline of the strip-shaped weight-reducing hole, thereby constructing multiple fracture line segments or wrinkle line segments. Based on multiple fracture segments or wrinkle segments, a mechanical distortion deformation simulation operation is performed on the standard triangular arm profile model, thereby constructing a triangular arm profile model after the arm body mid-section is deformed, and an auxiliary triangle is constructed based on the deformed triangular arm profile model; The physical deformation of each connecting end of the arm body in the triangular arm profile is calculated based on the offset and offset angle between each reference point in the auxiliary triangle and the deformation triangle, including: Mark the geometric center of the large bushing contour as the first reference point corresponding to the large bushing feature area; mark the geometric center of the small bushing contour as the second reference point corresponding to the small bushing feature area; obtain the third reference point corresponding to the ball stud feature area based on the ball stud virtual contour; The third reference point in the auxiliary triangle is aligned with the third reference point in the standard triangle, and the second reference point in the auxiliary triangle is placed on the extension line formed by the third reference point and the second reference point in the standard triangle, thereby obtaining the offset of the second reference point in the auxiliary triangle and the offset angle of the third reference point; Correcting the positions of the second reference point and the third reference point in the deformed triangle based on the offset of the second reference point and the offset and the offset angle of the third reference point in the auxiliary triangle, thereby obtaining a corrected deformed triangle; The corrected deformed triangle is superimposed and compared with the standard triangle, thereby obtaining the offset of the second reference point and 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 and the offset and offset angle of the third reference point in the corrected deformation triangle, the physical deformation of each connecting end of the arm body in the triangular arm profile is found in the experimental parameter comparison table. The data in the experimental parameter comparison table is the comparison data generated by the triangular arm without the strip weight-reducing hole combined with the mechanical analysis software.

2. The method for testing the physical properties of a triangular arm profile according to claim 1, characterized in that: Based on the profile inspection pattern, the image recognition algorithm is used to identify the reference points of the large bushing, small bushing, and ball stud in the triangular arm profile, including: The shape-based image feature extraction algorithm identifies multiple key areas in the inspection pattern, including the large bushing feature area, the small bushing feature area, the ball stud feature area, and the strip-shaped weight-reducing hole feature area. The image feature extraction algorithm based on shape class constructs the large bushing outline in the large bushing feature area, and marks the geometric center of the large bushing outline as the first reference point corresponding to the large bushing feature area; The color-based image feature extraction algorithm identifies the lower edge straight line of the small bushing within the small bushing feature area, then constructs the small bushing outline based on the lower edge straight line and a preset virtual square frame, and marks the geometric center of the small bushing outline as the second reference point corresponding to the small bushing feature area; An image feature extraction algorithm based on color class identifies the arc surface of the outer end of the ball pin in the ball pin feature area, and constructs a virtual contour of the ball pin based on the arc surface of the outer end of the ball pin and a preset shape. Based on the virtual contour of the ball pin, a third reference point corresponding to the ball pin feature area is obtained.

3. The method for testing the physical properties of a triangular arm profile according to any one of claim 2, wherein: After finding the physical deformation of each connecting end of the arm body in the triangular arm profile in the experimental parameter comparison table, it also includes: The physical deformation of each connecting end of the arm body is input into a preset physical performance evaluation model, and then the physical performance evaluation model outputs a physical performance evaluation report corresponding to each connecting 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 connecting 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 of the triangular arm profile, load conditions and physical performance parameters.

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