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Vehicle door optimization design method based on Taguchi method and entropy weight grey correlation analysis

A gray relational analysis and optimization design technology, applied in constraint-based CAD, multi-objective optimization, design optimization/simulation, etc., can solve problems such as limited applications, achieve good guidance, improve lightweight performance, and shorten the development cycle Effect

Pending Publication Date: 2022-04-12
WUHAN UNIV OF TECH
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Problems solved by technology

The door structure optimization design needs to consider the stiffness, NVH and lightweight of the door, which is a multi-objective optimization problem. A single Taguchi analysis is only suitable for single-objective optimization, which greatly limits its application

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  • Vehicle door optimization design method based on Taguchi method and entropy weight grey correlation analysis
  • Vehicle door optimization design method based on Taguchi method and entropy weight grey correlation analysis
  • Vehicle door optimization design method based on Taguchi method and entropy weight grey correlation analysis

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Embodiment Construction

[0038] Below by embodiment, in conjunction with accompanying drawing, the technical scheme of the present invention is described further specifically, as figure 1 As shown, the finite element model of the door is established. To verify the validity of the model, carry out sinking stiffness, upper torsional stiffness, lower torsional stiffness and modal tests on the door, and compare the test results with the finite element simulation results to verify the validity of the finite element model. The comparison results are shown in Table 1:

[0039] Table 1 Comparison of simulation and experimental results

[0040] parameter Simulation results Experimental results error(%) Mass M(kg) 27.71 28.03 -1.14 First-order natural frequency f(Hz) 42.68 40.92 4.30 Sinking stiffness displacement d sag (mm)

1.64 1.67 -1.80 Upper torsional stiffness displacement d upper (mm)

1.03 1.06 -2.83 Lower torsional stiffness displacement d lo...

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Abstract

The invention provides a vehicle door optimization design method based on a Taguchi method and entropy weight grey correlation analysis, and the method comprises the following steps: S1, building a vehicle door finite element model, verifying the effectiveness of the finite element model, and determining a design variable and an optimization target; s2, carrying out an orthogonal test according to the design variable table and the optimization target; s3, establishing a target response data matrix, and performing Taguchi analysis; s4, performing linear normalization processing on the signal-to-noise ratio sequence of each response; s5, performing gray correlation analysis to obtain a gray correlation coefficient sequence corresponding to each response; s6, calculating the weight value of the grey correlation coefficient sequence of each response and the grey correlation degree sequence of the comprehensive response; s7, calculating the average value of the sum of the grey correlation degree sequences corresponding to each level of each factor; and S8, according to an entropy weight method, calculating each response weight, and determining an optimal variable combination. According to the vehicle door optimization design method, the vehicle door structure optimization design scheme with good performance can be accurately and rapidly output.

Description

technical field [0001] The invention belongs to the technical field of automobile lightweight structure design, and in particular relates to an optimal design method of a car door based on Taguchi method and entropy weight gray relational analysis. Background technique [0002] Based on the need to save energy and reduce exhaust emissions, lightweight has become one of the research hotspots in the automotive industry. The door system is an important part of the car. How to obtain a lighter door structure while meeting its stiffness and NVH (noise, vibration and harshness) performance requirements is a key research issue. [0003] Traditional door design optimization methods, such as genetic algorithm and particle swarm optimization algorithm, have the disadvantage of very high computational cost. Taguchi method is an efficient and frugal optimization method, which can greatly reduce the number of experimental tests and save a lot of time. The door structure optimization de...

Claims

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Application Information

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IPC IPC(8): G06F30/15G06F30/23G06F111/04G06F111/06
Inventor 卢炽华陈浩刘志恩彭辅明周辉朱亚伟李永超肖文浩
Owner WUHAN UNIV OF TECH
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