Engine hood lightweight design method based on radial basis function neural network approximation model

Abstract

The invention discloses an engine hood lightweight design method based on a radial basis function neural network approximation model, and the method comprises the steps: carrying out the multi-objective lightweight optimization analysis based on the RBF neural network approximation model: building an engine hood assembly finite element model, completing the modal and rigidity analysis of an enginehood, establishing an approximation model based on the radial basis function (RBF) neural network, and performing multi-objective optimization according to the approximation model; and performing engine hood performance simulation verification and optimization: establishing an engine hood full interior refined model, completing engine hood closing transient strength analysis, and optimizing a local structure according to a strength analysis result. According to the invention, multi-objective lightweight optimization analysis is carried out on the engine hood based on the radial basis functionneural network approximation model, the optimal lightweight scheme is obtained, performance simulation verification and optimization are carried out subsequently through a refined model, the performance simulation precision is guaranteed while the optimization efficiency is guaranteed, and the optimal combination of the thickness of a sheet metal part of an engine hood is achieved.

Description

technical field [0001] The invention relates to a lightweight design method for an engine hood, in particular to a lightweight design method for an engine hood based on a radial basis neural network RBF approximate model. Background technique [0002] With the increasingly serious environmental pollution and stricter emission regulations for vehicles, this requires vehicles to develop in the direction of energy-saving and new energy vehicles. Whether it is traditional fuel vehicles or new energy vehicles, lightweight is an important way to solve this problem one. With the help of computer simulation technology, product development efficiency can be effectively improved, product development cycle can be shortened, and the purpose of lightweight design can be achieved. [0003] For the automobile body, most parts adopt sheet metal structure, and due to the limitation of space layout and function, the effect of light weight and weight reduction through structural optimization ...

AI Technical Summary

Problems solved by technology

[0003] For the automobile body, most parts adopt sheet metal structure, and due to the limitation of space layout and function, the effect of light weight and weight reduction through structural optimization is limited. It is very meaningful for the lightweight of the car body. The material thickness of the sheet metal parts can generally be changed in a wide range. For the assembly of multiple parts, it may be necessary to calculate the performance of various material thickness combinations Thousands of calculations are performed, the calculation time is long and the cost is high

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