Lightweight simulation optimization method for integrated door ring of automobile and related equipment

Abstract

The invention provides a lightweight simulation optimization method for an integrated door ring of an automobile and related equipment. The method comprises the following steps: establishing a whole automobile model in an initial state; determining a thickness partition, an initial splicing position and a splicing position change area of the integrated door ring; design variables, constraint conditions and optimization targets are defined, the design variables comprise thickness variables and splicing position variables of all thickness subareas of the integrated door ring, the splicing position variables refer to distances between a plurality of sub-areas which divide a splicing position change area at equal intervals and corresponding initial splicing positions, and the constraint conditions comprise vehicle collision indexes and vehicle collision indexes; the optimization objectives comprise improvement of the vehicle collision performance and reduction of the total weight of the integrated door ring; and solving the optimal design variable combination based on the constraint condition and the optimization target. According to the method, the thickness and the splicing position of the integrated door ring can be jointly optimized, a better integrated door ring design scheme can be found, the design efficiency is improved, and the personnel cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile computer-aided design, and in particular to a lightweight simulation optimization method for an automobile integrated door ring and related equipment. Background Art

[0002] With the continuous progress of the automotive industry, higher standards have been put forward for the design and production of automobiles, especially in terms of safety, lightweight and low cost. The traditional automobile door knocker is complex in design and consists of multiple parts. These parts need to be connected by spot welding and other methods. The production process is numerous and the overall cost is high. In order to overcome the shortcomings of traditional door knockers, one-piece door knockers have gradually become a development trend. The one-piece door knocker adopts laser welding technology to combine materials of different strengths, toughness and thickness into one-piece laser welded plates, which are then stamped and formed once, which greatly simplifies the production process and reduces the number of parts required, thereby helping to reduce the overall production cost.

[0003] The integrated door knocker is designed to optimize the plate thickness distribution and splicing position to meet the requirements of both vehicle lightweight and safety. However, the current setting of the integrated door knocker mainly relies on the personal engineering experience of engineers, resulting in low optimization efficiency and difficulty in achieving the best optimization effect. Summary of the invention

[0004] The purpose of the present invention is to provide a lightweight simulation optimization method for an integrated door ring of an automobile to solve the above-mentioned problems. The thickness and splicing position of the integrated door ring can be jointly optimized, which is conducive to finding a better integrated door ring design scheme, improving design efficiency and reducing personnel costs.

[0005] The present invention proposes a lightweight simulation optimization method for an integrated automobile door ring, comprising the following steps:

[0006] Establish the vehicle model in the initial state;

[0007] Determine the thickness partition, initial splicing position and splicing position change area of ​​the integrated door ring;

[0008] Define design variables, constraints and optimization goals, the design variables include thickness variables of each thickness partition of the integrated door ring, and splicing position variables, the splicing position variables refer to the distance between a number of sub-regions equally spaced to divide the splicing position change region and the corresponding initial splicing position, the constraints include vehicle collision indicators, and the optimization goals include improving vehicle collision performance and reducing the total weight of the integrated door ring;

[0009] Solve the optimal design variable combination of the integrated door ring based on constraints and optimization objectives;

[0010] The vehicle collision index is obtained by determining the combination of design variables through a sampling method and then performing collision simulation calculations on the whole vehicle model under each combination of design variables.

[0011] In one embodiment, when performing collision simulation on the whole vehicle model, it specifically includes:

[0012] Set collision simulation conditions and collision simulation parameters;

[0013] A collision simulation is performed on the whole vehicle model to obtain a vehicle collision index, wherein the vehicle collision index includes a collision intrusion amount.

[0014] In one embodiment, the collision simulation conditions include a side collision of the entire vehicle, a side pole collision, and a 25% offset frontal collision.

[0015] In one embodiment, the collision simulation parameters include collision speed, collision angle, and collision position.

[0016] In one embodiment, the establishing of the vehicle model in the initial state specifically includes:

[0017] Meshing of car body parts;

[0018] Set material properties, solder joints and glue connection locations;

[0019] Add dummy model, ground line and barrier model and position them.

[0020] In one embodiment, an automated simulation tool is used to perform automated sampling based on a sampling method to generate a vehicle model containing sample points and corresponding parameters of multiple design variable combinations, and collision simulation and solution calculations are performed on each vehicle model. After the calculation is completed, the calculation results are automatically downloaded and extracted.

[0021] In one embodiment, the sampling method includes a linear N-level sampling method, an orthogonal sampling method, and a full factor sampling method.

[0022] The present invention also proposes a computer device, including a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the lightweight simulation optimization method for the integrated automobile door ring as described above.

[0023] The present invention also proposes a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the lightweight simulation optimization method for the integrated automobile door ring as described above is implemented.

[0024] The present invention also proposes a computer program product, including a computer program, which, when executed by a processor, implements the lightweight simulation optimization method for an integrated automobile door ring as described above.

[0025] Compared with the prior art, the lightweight simulation optimization method of the automobile integrated door ring of the present invention has the following beneficial effects:

[0026] 1) The present invention can realize the parameterization of the splicing position of the integrated door ring, and then jointly optimize the thickness and splicing position of the integrated door ring, which not only takes into account the correlation between the two, but also expands the design variable space and seeks the best in a larger design space, which is conducive to finding a better and lighter integrated door ring design scheme, and thus is conducive to the lightweight design of the vehicle.

[0027] 2) The present invention can use computer-aided engineering to simulate, verify and optimize the integrated door ring, and the optimization process is highly automated, which greatly shortens the optimization time, improves design efficiency, reduces personnel costs, improves development efficiency, and saves human resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A schematic flow chart of a lightweight simulation optimization method for an integrated automobile door ring according to an embodiment of the present invention;

[0029] Figure 2 This is a schematic diagram of a car side collision;

[0030] Figure 3 This is a schematic diagram of a car side column collision;

[0031] Figure 4 This is a schematic diagram of a 25% offset collision on the front of a car;

[0032] Figure 5 This is a schematic diagram of an integrated door knocker model;

[0033] Figure 6 is a diagram of an integrated door knocker model in an initial state;

[0034] Figure 7 For Figure 6 Model diagram of the integrated door knocker after lightweight simulation optimization. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solution and advantages of the present invention more understandable, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments of the specification. It should be noted that many specific details are set forth in the following description to facilitate a full understanding of the present invention, but the present invention can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0036] Secondly, the present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure may not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0037] Secondly, "one embodiment" or "an embodiment" in this application refers to a specific feature, structure or characteristic that can be included in at least one implementation of the present invention. The "in one embodiment" and "an embodiment" that appear in different places in this specification do not all refer to the same embodiment, nor are they separate or selective embodiments that are mutually exclusive with other embodiments. The terms "including" and "comprising" indicate the presence of the claimed features, but do not exclude the presence of one or more other features. The term "and / or" used in this application includes any and all combinations of one or more of the relevant listed items.

[0038] The present invention proposes a lightweight simulation optimization method for an integrated automobile door ring, see Figure 1 , including the following steps:

[0039] Step S1: Establish a finite element model of the vehicle in an initial state to ensure that the model can be calculated and obtain correct calculation results.

[0040] Specifically, the modeling process includes: meshing the body parts; setting material properties, welding points and glue connection positions; adding dummy models, ground lines and barrier models and positioning them so that the whole vehicle model can correctly reflect the performance of the corresponding working conditions of the vehicle model, and ensure that the error between the result data and the test data calculated by the commercial collision simulation software after the whole vehicle model is assembled and modeled is within the allowable range.

[0041] Step S2, determining the thickness partition, initial splicing position and splicing position change area of ​​the integrated door knocker, where the splicing position change area refers to the variable range of the splicing position.

[0042] Step S3: define design variables, constraints and optimization objectives.

[0043] Specifically, the design variables include the thickness variables and splicing position variables of each thickness partition of the integrated door ring, and a design variable parameterization file containing both thickness variables and splicing position variables is formed to realize the parameterization of thickness and splicing position, so as to facilitate the subsequent joint optimization sampling of thickness and splicing position of the integrated door ring. Among them, the splicing position change area is divided into several sub-areas with equal spacing, and the splicing position variable refers to the distance between the sub-area and the corresponding initial splicing position.

[0044] Constraints include vehicle collision index, i.e., occupant collision protection related index. Vehicle collision index is obtained by determining the combination of design variables through sampling method, and then performing collision simulation calculation on the whole vehicle model under each design variable combination. Vehicle collision index should be able to reflect the impact of design variables on the collision safety performance of the vehicle.

[0045] The optimization goals include improving the collision performance of the vehicle (ie, improving the safety performance of the vehicle) and reducing the total weight of the integrated door ring.

[0046] Step S4, solving the optimal design variable combination of the integrated door knocker based on the constraint conditions and the optimization target;

[0047] In order to reduce manpower and time costs, automated simulation tools can be used to perform automated sampling based on sampling methods, generate sample points containing multiple design variable combinations and corresponding parameter vehicle models, automatically submit them to the server, and use the corresponding simulation solver to perform collision simulation calculations on each vehicle model. After the calculation is completed, the calculation result data can be automatically downloaded and extracted in batches.

[0048] Sampling methods can be selected from experimental design methods such as linear N-level sampling method, orthogonal sampling method, full factor sampling method, etc. The selection of sampling methods can be determined based on the number and range of design variables to determine the appropriate sampling method.

[0049] When performing collision simulation on the whole vehicle model, it specifically includes:

[0050] Set the collision simulation conditions (such as vehicle side collision, side column collision, 25% frontal offset collision, etc.) and collision simulation parameters (such as collision speed, collision angle, collision position, etc.) to reflect the impact of the integrated door ring on the safety performance of the vehicle;

[0051] The whole vehicle model is subjected to collision simulation to obtain vehicle collision indexes, which include collision intrusion, occupant survival space, and relevant regulatory requirements.

[0052] The following is an example of lightweight optimization of an integrated door ring of an automobile to explain the above simulation optimization method in detail. The specific process is as follows:

[0053] 1) Establish the initial state of the vehicle finite element model, including the mesh division of the body parts, welding points and glue connections, material property settings, etc., add the dummy model, ground line and barrier model and position them to establish the collision simulation scene. The integrated door ring model is as follows Figure 5 shown.

[0054] 2) Engineers determine the thickness partition, initial splicing position (P1 = 0) and splicing position change area of ​​the integrated door ring based on the traditional door ring simulation experience, such as Figure 6As shown. The initial parameters of the thickness of each thickness partition and the splicing position P1 are shown in Table 1, where base represents the initial model, T1 and T2 represent the thickness of the two partitions of the door ring respectively, and P1 represents the splicing position, that is, the weld position to be optimized. The default initial position of the weld is 0. The splicing position change area is divided into a sub-area every 50 mm, and the distance between the sub-area and the initial splicing position is used as the splicing position variable. By assigning different thickness attributes to each sub-area (the thickness of the sub-areas on both sides of the splicing position is the same as the thickness of the adjacent thickness partitions), the splicing position is parameterized. At the same time, the thickness is used as the second attribute parameter to realize the joint optimization of the thickness and weld position of the integrated door ring.

[0055] Table 1 Initial state integrated door knocker parameters

[0056]

[0057] 3) Define the design variables, including the thickness variables of each thickness partition of the integrated door ring and the splicing position variables, to establish a parametric file of the integrated door ring design variables. Import the script through the script function of the pre-processing software ANSA. The script can realize the parameterization of the splicing position and then jointly optimize the thickness and splicing position.

[0058] 4) Determine the constraints: Determine the collision simulation conditions and the corresponding vehicle collision indicators. Since the performance of the car door ring is crucial to the vehicle side collision, side column collision and 25% frontal offset collision conditions, its performance in the above three conditions is considered during the optimization process. Figure 2 As shown in the figure, the corresponding collision simulation parameters are: the moving barrier hits the vehicle vertically at 50 km / h, and the distance between the longitudinal mid-vertical plane of the moving barrier and the cross-sectional vertical plane of the simulated vehicle passing through the R point of the front seat on the collision side (the design point specified by the vehicle manufacturer for each seating position) should be within ±25 mm; in this embodiment, the vehicle collision index is set to require that the distance from the maximum intrusion point of the B-pillar to the center of the seat after the collision is greater than 190 mm to ensure the safety space of the occupants. Figure 3 As shown in the figure, the corresponding collision simulation parameters are: the test vehicle hits the rigid column at 32km / h, the vertical plane parallel to the vehicle collision velocity vector forms a collision angle of 75° with the longitudinal centerline of the vehicle, and the centerline of the rigid column surface is aligned with the intersection of the outer surface of the vehicle collision side and the vertical plane passing through the center of gravity of the dummy's head; the vehicle collision index of this embodiment is set to require the maximum intrusion of the B-pillar after the collision to be less than 450mm. Figure 4 As shown, the corresponding collision simulation parameters are: the test vehicle hits the barrier at 64.4 km / h, and the vehicle collision index reaches level G according to the CIASI 25% offset frontal collision evaluation regulations.

[0059] 5) Based on the design variables and the above constraints, the optimization model is as follows:

[0060]

[0061] Wherein, Mass is the total mass of the integrated door ring, mi is the mass of the i-th partition; T1 and T2 represent the two thickness variables of the integrated door ring; P1 represents the splicing position variable, that is, the variation range of the weld splicing position is [0,850], with an interval of 50; SOL_L represents the vehicle collision evaluation index of a 25% frontal offset collision, {G} represents the specific rating situation, and the evaluation standard refers to the CIASI 25% frontal offset collision; Side represents the vehicle collision evaluation index of a side collision, that is, the distance from the seat center to the maximum intrusion point of the B-pillar is not less than 190 mm; Pole represents the evaluation index of a vehicle collision side column collision, requiring that the maximum intrusion of the B-pillar is not greater than 450 mm.

[0062] 6) Based on the optimization goal of improving the safety performance of the vehicle and reducing the total weight of the integrated door ring, the full factor method is selected for optimization calculation in combination with the number and value range of variables. The calculation data is extracted and statistically calculated, and the best design variable combination of the integrated door ring is selected. The optimization results are shown in Table 2.

[0063] Table 2 Comparison of results between initial state model and optimized model

[0064]

[0065] Comparing the initial solution base and the optimized solution opti, under the premise of meeting the optimization goal, the thickness T1 is 1.7mm, T2 is 2.3mm, and the splicing position is at the position where the parameter is 500, such as Figure 7 As shown, the solution meets the rating requirements of side impact conditions, side pole impact conditions and 25% frontal offset collision, while achieving a single-sided door ring weight reduction of 2.1Kg compared to the initial state model.

[0066] The present invention also proposes a computer device, including a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the lightweight simulation optimization method for the integrated automobile door ring as described above.

[0067] The present invention also proposes a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the lightweight simulation optimization method for the integrated automobile door ring as described above is implemented.

[0068] The present invention also proposes a computer program product, including a computer program, which implements the lightweight simulation optimization method of the integrated automobile door ring as described above when the computer program is executed by a processor.

[0069] The present invention has the following beneficial effects:

[0070] 1) The present invention can realize the parameterization of the splicing position of the integrated door ring, and then jointly optimize the thickness and splicing position of the integrated door ring, which not only takes into account the correlation between the two, but also expands the design variable space and seeks the best in a larger design space, which is conducive to finding a better and lighter integrated door ring design scheme, and thus is conducive to the lightweight design of the vehicle.

[0071] 2) The present invention can use computer-aided engineering to simulate, verify and optimize the integrated door ring, and the optimization process is highly automated, which greatly shortens the optimization time, improves design efficiency, reduces personnel costs, improves development efficiency, and saves human resources.

[0072] Although the above methods are illustrated and described as a series of actions for simplicity of explanation, it should be understood and appreciated that these methods are not limited by the order of the actions, because according to one or more embodiments, some actions may occur in a different order and / or concurrently with other actions from those illustrated and described herein or not illustrated and described herein but understandable to those skilled in the art.

[0073] The construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only a few embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible (e.g., size, structure, shape and proportion, as well as parameter values, use of materials, color, directional changes, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. In the claims, any "device plus function" clause is intended to cover the structure of performing the function described herein, and is not only structurally equivalent but also equivalent structure. Without departing from the spirit and essence of the present invention, a person skilled in the art can make various corresponding modifications and changes according to the present invention, but these corresponding modifications and changes should fall into the protection scope of the present invention.

Claims

1. A lightweight simulation optimization method for an integrated automobile door ring, characterized in that: The steps include: Establish the vehicle model in the initial state; Determine the thickness partition, initial splicing position and splicing position change area of ​​the integrated door knocker; Define design variables, constraints and optimization goals, the design variables include thickness variables of each thickness partition of the integrated door ring, and splicing position variables, the splicing position variables refer to the distance between a number of sub-regions equally spaced to divide the splicing position change region and the corresponding initial splicing position, the constraints include vehicle collision indicators, and the optimization goals include improving vehicle collision performance and reducing the total weight of the integrated door ring; Solve the optimal design variable combination of the integrated door ring based on constraints and optimization objectives; The vehicle collision index is obtained by determining the combination of design variables through a sampling method and then performing collision simulation calculations on the whole vehicle model under each combination of design variables.

2. The lightweight simulation optimization method for an integrated automobile door ring according to claim 1, characterized in that: When performing collision simulation on the whole vehicle model, it specifically includes: Set collision simulation conditions and collision simulation parameters; A collision simulation is performed on the whole vehicle model to obtain a vehicle collision index, wherein the vehicle collision index includes a collision intrusion amount.

3. The lightweight simulation optimization method for an integrated automobile door ring according to claim 2, characterized in that: The collision simulation conditions include vehicle side collision, side pole collision, and 25% frontal offset collision.

4. The lightweight simulation optimization method for an integrated automobile door ring according to claim 2, characterized in that: The collision simulation parameters include collision speed, collision angle, and collision position.

5. The lightweight simulation optimization method for an integrated automobile door ring according to claim 1, characterized in that: The establishing of the vehicle model in the initial state specifically includes: Meshing of car body parts; Set material properties, solder joints and glue connection locations; Add dummy model, ground line and barrier model and position them.

6. The lightweight simulation optimization method for an integrated automobile door ring according to claim 1, characterized in that: Use automated simulation tools to perform automated sampling based on sampling methods, generate vehicle models containing sample points and corresponding parameters for multiple design variable combinations, perform collision simulation solutions on each vehicle model, and automatically download and extract the calculation results after the calculation is completed.

7. The lightweight simulation optimization method for an integrated automobile door ring according to claim 1, characterized in that: The sampling methods include linear N-level sampling method, orthogonal sampling method, and full factor sampling method.

8. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the lightweight simulation optimization method for an integrated automobile door ring according to any one of claims 1 to 7.

9. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the lightweight simulation optimization method for an integrated automobile door ring according to any one of claims 1 to 7 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the lightweight simulation optimization method for an integrated automobile door ring according to any one of claims 1 to 7 is implemented.

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