A method, system and device for automatically identifying tire simulation load and contact boundary conditions

Abstract

The present invention relates to the technical field of tire simulation design, and in particular to a method, system and device for automatically identifying tire simulation loads and contact boundary conditions. The method sequentially identifies the coordinates of the highest point and the lowest point of a tire simulation model through programmed steps, extracts the outer contour curve, and identifies the inflation boundary and the contact boundary (including the tread contact boundary, the left rim contact boundary and the right rim contact boundary). The present invention realizes full automation of boundary condition identification, greatly improving simulation efficiency and accuracy. The entire identification process takes about 1 second, which saves about 120 times the time of traditional methods. The present invention is applicable to various tire simulation models, provides efficient technical support for tire research and development, reduces the burden of manual operation, and improves the reliability of simulation results and research and development efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of tire simulation design, and in particular to a method, system and device for automatically identifying tire simulation load and contact boundary conditions. Background Art

[0002] With the rapid development of the automotive industry, the optimization of tire performance has become an important way to improve the overall performance of vehicles. In the process of tire research and development, numerical simulation technology is an indispensable tool, which is widely used in the analysis and prediction of tire deformation, force distribution, ground pressure, rolling resistance and other performance. Through numerical simulation, the design scheme can be accurately evaluated in the early stage of research and development, thereby saving research and development costs and shortening the development cycle.

[0003] At present, conventional tire numerical simulation technology includes steps such as geometry cleaning, meshing, boundary condition setting, load application and calculation solution. However, the simulation preparation process for tires in the prior art has the following problems:

[0004] 1. Manual operation is time-consuming and laborious: The setting of boundary conditions, especially the identification of inflation boundaries and contact boundaries, usually requires engineers to manually select specific areas and enter relevant parameters. This method is not only time-consuming, but also prone to inaccurate results due to human negligence.

[0005] 2. Low degree of automation: Although some patents (such as patents CN116451480A and CN116451479A applied for by the applicant) have achieved a certain degree of automation in geometry cleaning and meshing, there is still a lack of efficient technical means in the subsequent steps of the simulation, especially the automatic identification of boundary conditions and load application.

[0006] 3. Complexity of special geometry: The geometric shape of the tire is complex and unique. Its outer contour curve, internal structure and other characteristics make it difficult for general simulation software to adapt directly, resulting in engineers needing to personalize each simulation model.

[0007] Based on the above problems, how to automatically identify the inflation boundary and contact boundary in tire simulation efficiently and accurately has become one of the key issues in the current technical field. Summary of the invention

[0008] In order to solve the above technical problems, the present invention proposes a method for automatically identifying tire simulation loads and contact boundary conditions. Through programmed processing, the whole process from geometric model to boundary condition setting is automated, which greatly improves the efficiency of simulation preparation and reduces the error caused by human intervention. This method can provide technical support for tire research and development and has important engineering application value.

[0009] A method for automatically identifying tire simulation loads and contact boundary conditions comprises the following steps:

[0010] 1) Identify the coordinates of the highest and lowest points of the tire simulation model, traverse the nodes of the simulation model, and calculate the vertical coordinates of the highest and lowest points;

[0011] 2) Extract the outer contour of the tire simulation model, traverse all units of the simulation model, store the edges as node pairs, and extract the set of edges that appear only once, which is recorded as the outer contour set;

[0012] 3) Identify the node number with the smallest vertical coordinate in the outer contour set, which is divided into the lowest point on the left and the lowest point on the right;

[0013] 4) Identify the edge with the largest vertical coordinate in the outer contour set, determine the edge number according to the vertical value of the midpoint coordinate of the edge, and record it as the highest edge;

[0014] 5) Divide the outer contour set into two curve segments according to the lowest point on the left and the lowest point on the right;

[0015] 6) Compare the positions of the highest edge and the two curve segments to determine the inflatable boundary and the non-inflatable boundary;

[0016] 7) Traverse the edges of the non-inflated boundary and identify the tread contact boundary and the left and right rim contact boundaries based on the coordinates of the midpoints of the edges.

[0017] Preferably, in step 7), when the vertical coordinate of the midpoint of the edge is greater than the weighted value of 40% of the vertical coordinate of the lowest point and 60% of the vertical coordinate of the highest point, the edge belongs to the tread contact boundary; otherwise, the edge with a horizontal coordinate less than zero belongs to the left rim contact boundary, and the edge with a horizontal coordinate greater than zero belongs to the right rim contact boundary.

[0018] Preferably, the method realizes automatic identification of the inflation boundary, the tread contact boundary, the left rim contact boundary and the right rim contact boundary.

[0019] Furthermore, the present invention proposes a system for automatically identifying tire simulation loads and contact boundary conditions, wherein the system implements the method, including:

[0020] A data input module, used for receiving geometric information and mesh data of a tire simulation model;

[0021] An outer contour extraction module is used to extract an outer contour set of a tire model;

[0022] The coordinate calculation module is used to calculate the coordinates of nodes and edges, identify the highest point, the lowest point, the node number of the lowest point, and the highest edge;

[0023] A segmentation processing module, used for dividing the outer contour set into two curve segments;

[0024] A boundary recognition module, used to determine the inflation boundary, the tread contact boundary, and the left and right rim contact boundaries;

[0025] The output module is used to output the recognition results, including the inflation boundary, the tread contact boundary and the rim contact boundary.

[0026] Preferably, the outer contour extraction module counts the number of occurrences of unit edges and stores the edges that appear only once as an outer contour set.

[0027] Preferably, the boundary recognition module distinguishes the tread contact boundary from the rim contact boundary by performing a threshold comparison on the vertical coordinates of the edge midpoints.

[0028] Preferably, the data input module supports automatic import of simulation model files in various formats, including but not limited to model files generated by Abaqus and ANSYS.

[0029] Furthermore, the present invention provides a tire simulation load and boundary identification device including the system, the device also includes:

[0030] A data storage unit, used for storing initial data and recognition results of the simulation model;

[0031] The control unit is used to schedule the modules to work together and monitor the operating status of the recognition process.

[0032] Furthermore, the present invention proposes a computer-readable storage medium having a computer program stored thereon, and when the program is run on a computer, the method described is executed.

[0033] Furthermore, the present invention provides a computer program product, comprising a computer program or instructions, which implement the method when executed by a processor.

[0034] The present invention realizes the full automation of boundary condition setting in the numerical simulation process through a method and system for automatically identifying tire simulation load and contact boundary conditions, which significantly improves the efficiency and accuracy of simulation preparation. The specific technical effects are as follows:

[0035] 1. Significantly improve simulation efficiency: The present invention automatically identifies the key boundary conditions of the tire simulation model (including the inflation boundary, the tread contact boundary, and the left and right rim contact boundaries) through a program. The entire identification process takes only about 1 second, which is about 120 times more efficient than the traditional manual operation of about 2 minutes. This greatly reduces the simulation preparation time and is suitable for the efficient research and development needs of large-scale tire performance analysis.

[0036] 2. Improve recognition accuracy: Through the programmatic processing of the outer contour and boundary of the tire model, the present invention can accurately identify all key boundary conditions involved in the simulation, avoiding the deviation that may be caused by human error or subjective judgment in traditional methods. This accuracy provides reliable data support for subsequent numerical simulation calculations and ensures the credibility of the results.

[0037] 3. Enhance the automation of the simulation process: The present invention automates the entire process from geometric model input to boundary condition output, simplifies multiple tedious steps in traditional numerical simulation, especially the special processing of complex tire geometry, and achieves a high degree of process integration and standardization. This not only reduces the operational burden on engineers, but also provides technical support for tire design automation.

[0038] 4. Adaptability to various tire simulation models: The present invention is applicable to tire simulation models of various sizes and geometric shapes, including but not limited to 24570R17 and other specifications. Its versatility ensures flexibility in different application scenarios and can meet various R&D needs.

[0039] 5. Promote the application of simulation technology in tire R&D: By solving the bottleneck problems of low efficiency and complex operation in the existing technology, the present invention lays a foundation for the popularization and deepening of the application of simulation technology in the process of tire R&D. Especially when comparing and optimizing multiple schemes of tire performance, fast and automated simulation preparation will significantly improve the efficiency and quality of R&D decision-making.

[0040] 6. Reduce costs and shorten the R&D cycle: The present invention reduces the reliance on highly skilled engineers and reduces labor costs; at the same time, rapid simulation preparation shortens the product development cycle, thereby indirectly improving the market competitiveness of the enterprise.

[0041] In summary, the present invention technically solves the problems of low efficiency, insufficient accuracy and low degree of automation in the existing numerical simulation process, has significant technological advancement and practical value, and is an important innovation in the field of tire research and development. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a tire simulation model diagram;

[0043] Figure 2 is the node coordinate of the tire simulation model;

[0044] Figure 3 It is the highest point, lowest point and coordinate diagram of the tire simulation model;

[0045] Figure 4 It is a schematic diagram of a tire simulation model unit;

[0046] Figure 5It is a schematic diagram of the outer contour of the tire simulation model;

[0047] Figure 6 The node number for the lowest point in the identified set of outer contours;

[0048] Figure 7 The number and position of the edge with the largest y coordinate in the identified outer contour set;

[0049] Figure 8 A schematic diagram of a curve that divides the outer contour into two parts according to the lowest point;

[0050] Fig. 9 Inflate the identified interior boundary;

[0051] Fig.10 The identified tread contact boundary and the left and right rim contact boundaries. DETAILED DESCRIPTION

[0052] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with 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.

[0053] A method for automatically identifying tire simulation load and contact boundary conditions, the method sequentially identifies the coordinates of the highest and lowest points of the tire simulation model, extracts the outer contour curve, and identifies the inflation boundary and contact boundary (including the tread contact boundary, the left rim contact boundary, and the right rim contact boundary) through programmed steps. Specifically, the method includes the following steps:

[0054] Step 1: Identify the coordinates of the highest and lowest points of the tire simulation model. Traverse the coordinates of the nodes that make up the two-dimensional tire simulation model and count the highest point of the model. y coordinate y max and the lowest point y coordinate y min (The tire radius is y Direction, the axle direction is x direction);

[0055] Step 2: Identify the complete outer contour of the tire model. Traverse all the units that make up the tire model, store the edges that make up the tire units in the form of node pairs (that is, the node numbers of the two nodes that make up the edge, ignoring the order of the nodes), then count the number of occurrences of each edge, extract the set of edges with a number of occurrences of 1, record it as set E, which is the outer contour of the tire;

[0056] Step 3: Identify the node number of the lowest point in the outer contour set E. Traverse all the edges in the outer contour set E, store the nodes that make up the edge in the set EP, and compare the node number of the lowest point in the set EP. y Coordinates, where y The number of the point with the smallest coordinates. There is one on each side. The x coordinate of the point on the left side is less than zero, and the number is recorded as LP min , the x coordinate on the right side is greater than zero, and is numbered RP min ;

[0057] Step 4: Find the edge in set E with the largest y coordinate value. Traverse all edges in set E, calculate the coordinates of the midpoint of the edge based on the coordinates of the two nodes that make up the edge, and find the number of the edge with the largest y coordinate by comparison, denoted as B max .

[0058] Step 5: Divide the tire outer contour curve into two parts. Traverse all the edges in set E, start counting from any edge, and find the edge with the same second node number as the previous edge. And so on, sort the edges in set E to achieve the first connected outer contour edge. Then, according to the point LP found in step 3, min and RP min Divide the outer contour edge into two segments, denoted as WB 1 and W.B. 2 ;

[0059] Step 6: Identify the tire inflation boundary conditions. Compare WB 1 Edge, WB 2 B in the fourth step max , if B max In WB 1 In the case of the inflation boundary condition, the edge to which the inflation boundary condition is applied is WB 2 , if B max In WB 2 In the case of the inflation boundary condition, the edge to which the inflation boundary condition is applied is WB 1 , denoted as IB, and the other side as WB o .

[0060] Step 7: Identify the contact boundary between the tread and the road surface and the contact boundary between the bead and the rim. o All the edges in the middle, calculate the midpoint of the edge y Coordinate marking y i (where i=1~n, n is WB o The total number of edges in y i Greater than 0.4* y min +0.6* y max (y min +0.6*( y max - y min )) is determined to be a tread contact unit and is stored in the set TB. For other units, their y coordinates are less than or equal to 0.4* y min +0.6* y max ( y min +0.6*( y max - y min )), if its x-coordinate is greater than zero, it is identified as the right rim contact unit RRB, and if its x-coordinate is less than zero, it is identified as the left rim contact unit LRB.

[0061] At this point, the automatic identification of the inflation boundary IB, tread contact boundary TB, left rim contact boundary LRB and right rim contact boundary RRB has been achieved. The entire identification process takes less than 1 second, which is about 2 minutes compared to the manual setting. The efficiency is greatly improved, and the automatic identification of the load boundary of the tire simulation analysis has been realized.

[0062] The following is an example of a specific implementation of the present invention using a 24570R17 tire:

[0063] Step 1: Identify the tire simulation model (such as Figure 1 ) of the highest and lowest points. Traverse the node coordinates that make up the tire two-dimensional simulation model (such as Figure 2 ), calculate the highest point of the model y coordinate y max =385mm, and the lowest point y coordinate y min =216 (tire radius direction is y Direction, the axle direction is x Direction, such as Figure 3 ).

[0064] Step 2: Identify the complete outer contour of the tire model. Traverse all the units that make up the tire model (such as Figure 4 ), store the edges that make up the tire unit in the form of node pairs (that is, the node numbers of the two nodes that make up the edge, ignoring the order of the nodes), then count the number of occurrences of each edge, extract the set of edges with an appearance of 1 (internal edges appear at least 2 times), record it as set E, which is the outer contour of the tire, such as Figure 5 .

[0065] Step 3: Identify the node number of the lowest point in the outer contour set E. Traverse all the edges in the outer contour set E, store the nodes that make up the edge in the set EP, and compare the node number of the lowest point in the set EP. y Coordinates, where y The number of the point with the smallest coordinates. There is one on each side. The x coordinate of the point on the left side is less than zero, and the number is recorded as LP min =86, the x coordinate on the right is greater than zero, and the number is RP min =326, e.g. Figure 6 .

[0066] Step 4: Find the edge in set E with the largest y coordinate value. Traverse all edges in set E, calculate the coordinates of the midpoint of the edge based on the coordinates of the two nodes that make up the edge, and find the number of the edge with the largest y coordinate by comparison, denoted as B max =56, e.g. Figure 7 shown.

[0067] Step 5: Divide the tire outer contour curve into two parts. Traverse all the edges in set E, start counting from any edge, and find the edge with the same second node number as the previous edge. And so on, sort the edges in set E to achieve the first connected outer contour edge, such as Figure 5 Then, according to the point LP found in the third step min and RP min Divide the outer contour edge into two segments, denoted as WB 1 and W.B. 2 ,like Figure 8 .

[0068] Step 6: Identify the tire inflation boundary conditions. Compare WB 1 Edge, WB 2 B in the fourth step max , if B max In WB 1 In the case of the inflation boundary condition, the edge to which the inflation boundary condition is applied is WB 2 , if B max In WB 2 In the case of the inflation boundary condition, the edge to which the inflation boundary condition is applied is WB 1 , B max =56, this side is at WB 1 Therefore, the identified inflation boundary edge is WB 2 , denoted as IB, and the other side as WB o ,like Fig. 9 shown.

[0069] Step 7: Identify the contact boundary between the tread and the road surface and the contact boundary between the bead and the rim. o All the edges in the middle, calculate the midpoint of the edge y Coordinate markingy i (where i=1~n, n=80 is WB o The total number of edges in y i Greater than 0.4* y min +0.6* y max =0.4*216+0.6*385=317.4mm, it is judged as a tread contact unit and stored in the set TB. For other units, whose y coordinates are less than or equal to 317.4, if their x coordinates are greater than zero, they are identified as right rim contact units RRB, and if their x coordinates are less than zero, they are identified as left rim contact units LRB. Fig.10 shown.

[0070] The above is a description of the embodiments of the present invention. Through the above description of the disclosed embodiments, professionals and technicians in the field can implement or use the present invention. Various modifications to these embodiments will be apparent to professionals and technicians in the field. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown in this article, but will conform to the widest range consistent with the principles and novelties disclosed herein.

Claims

1. A method for automatically identifying tire simulation loads and contact boundary conditions, characterized in that: The following steps are involved: Step 1: Identify the coordinates of the highest and lowest points of the tire simulation model; traverse the coordinates of the nodes that make up the two-dimensional tire simulation model and count the highest point of the model y coordinate y max and the lowest point y coordinate y min , the tire radius direction is y Direction, the axle direction is x direction; Step 2: Identify the complete outer contour of the tire model; traverse all the units that make up the tire model, store the edges that make up the tire units in the form of node pairs, then count the number of occurrences of each edge, extract the set of edges with a number of occurrences of 1, and record it as set E, which is the outer contour of the tire; Step 3: Identify the node number of the lowest point in the outer contour set E; traverse all the edges in the outer contour set E, store the nodes that make up the edge in the set EP, and compare the node number of the lowest point in the set EP. y Coordinates, where y The number of the point with the smallest coordinates. There is one on each side. The x coordinate of the point on the left side is less than zero, and the number is recorded as LP min , the x coordinate on the right side is greater than zero, and is numbered RP min ; Step 4: Find the edge in set E whose point has the largest y coordinate value; traverse all edges in set E, calculate the coordinates of the midpoint of the edge based on the coordinates of the two nodes that make up the edge, and find the number of the edge with the largest y coordinate by comparison, denoted as B max ; Step 5: Divide the tire outer contour curve into two parts; traverse all the edges in set E, start counting from any edge, and find the edges with the same second node number as the previous edge in turn, and so on, sort the edges in set E to achieve the first connected outer contour edge; then, according to the point LP found in step 3 min and RP min Divide the outer contour edge into two segments, denoted as WB1 and WB2; Step 6: Identify the tire inflation boundary conditions; compare the WB1 edge, WB2 edge and the B in step 4 max , if B max In WB1, the side to which the inflation boundary condition is applied is WB2. If B max In WB2, the side where the inflation boundary condition is applied is WB1, denoted as IB, and the other side is denoted as WB o ; Step 7: Identify the contact boundary between the tread and the road surface and the contact boundary between the bead and the rim; traverse WB o All the edges in the middle, calculate the midpoint of the edge y Coordinate marking y i , where i = 1~n, n is WB o The total number of edges in ; if y i Greater than 0.4* y min +0.6* y max ( y min +0.6*( y max - y min )) is judged as a tread contact unit and stored in the set TB; for other units, their y coordinates are less than or equal to 0.4* y min +0.6* y max ( y min +0.6*( y max - y min )), if its x-coordinate is greater than zero, it is identified as the right rim contact unit RRB, and if its x-coordinate is less than zero, it is identified as the left rim contact unit LRB.

2. A system for automatically identifying tire simulation loads and contact boundary conditions, characterized in that: The system implements the method of claim 1, comprising: A data input module, used for receiving geometric information and mesh data of a tire simulation model; An outer contour extraction module is used to extract an outer contour set of a tire model; The coordinate calculation module is used to calculate the coordinates of nodes and edges, identify the highest point, the lowest point, the node number of the lowest point, and the highest edge; A segmentation processing module, used for dividing the outer contour set into two curve segments; A boundary recognition module, used to determine the inflation boundary, the tread contact boundary, and the left and right rim contact boundaries; The output module is used to output the recognition results, including the inflation boundary, the tread contact boundary and the rim contact boundary.

3. The system according to claim 2, characterized in that The outer contour extraction module counts the number of occurrences of unit edges and stores the edges that appear only once as an outer contour set.

4. The system according to claim 2 or 3, characterized in that: The boundary recognition module distinguishes the tread contact boundary and the rim contact boundary by performing a threshold comparison on the vertical coordinates of the edge midpoints.

5. The system according to claim 2, characterized in that The data input module supports automatic import of simulation model files in multiple formats, including but not limited to model files generated by Abaqus and ANSYS.

6. A tire simulation load and boundary recognition device comprising the system according to any one of claims 2 to 5, characterized in that: The device also includes: A data storage unit, used for storing initial data and recognition results of the simulation model; The control unit is used to schedule the modules to work together and monitor the operating status of the recognition process.

7. A computer-readable storage medium having a computer program stored thereon, wherein when the program is run on a computer, the method according to claim 1 is executed.

8. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed by a processor, the method according to claim 1 is implemented.

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