Key outline parameter optimization method and device for lightweight design of a tire structure

Abstract

The invention discloses a key outline parameter optimization method and device for tire structure lightweight design, and the method comprises the steps: generating an initial tire outline candidate key parameter set; generating a tire outer contour and a material distribution map; establishing a complete finite element model, and performing simulation; extractingdata representing tire strength and durability in the simulation result, and obtaining an evaluation result of the current scheme; comparing the evaluation result with the initial performance and the initial quality evaluation resultof the tire; if the initial performance and the initial quality evaluation result are superior to those of the tire, storing and forming an optimization matrix, otherwise, carrying out crossover or mutation operation to form a new candidate key parameter vector, and carrying out evaluation again; obtaining preferred schemes. According to the method, the optimal outer contour parameters can be automatically determined, so that the weight of the tire is minimum under the condition that the strength and the durability of the tire are ensured, and the purpose of lightweight design is achieved.

Description

technical field [0001] The invention relates to the technical field of tire design, in particular to a method and device for optimizing key outline parameters used in tire structure lightweight design. Background technique [0002] At present, when designing the tire structure, many key parameters are faced, and it is impossible to determine the best key parameters. In related technologies, several schemes of tire outer contours are designed based on experience, and then commercial finite element software is used to construct digital models for each scheme and perform finite element simulation, and finally the best scheme is selected among these schemes based on the simulation results. [0003] However, if only a limited number of different design schemes are determined based on the experience of the design engineer, and then combined with finite element simulation methods to determine a relatively optimal scheme, only the optimal scheme among the predetermined limited schem...

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Problems solved by technology

[0003] However, if only a limited number of different design schemes are determined based on the experience of the design engineer, and then combined with finite element simulation methods to determine a relatively optimal scheme, only the optimal scheme among the predetermined limited schemes can be realized, and there is no guarantee The obtained scheme is globally optimal, and it is time-consuming and labor-intensive to construct tire models manually. It is impossible to model and simulate a large number of schemes formed by continuously changing multiple parameters, let alone obtain the global optimal scheme. Not only the optimization efficiency is low, but also the optimization design is inaccurate

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