Interval-Based Robust Design Method for Slider Size of High Speed ​​Press

Abstract

The invention discloses a high-speed press sliding block dimension robust design method based on an interval. The method comprises the steps that a robust design model including design variables and interval uncertainty parameters is built according to the design needs of a high-speed press sliding block dimension, the response values of an objective function and a constraint function which correspond to sampling points are obtained, the function relationship between the design variables and the uncertainty parameters and a design target is determined according to sampling point information, a polynomial model of the objective function and the constraint function is built according to the least squares criterion, the matching precision of the polynomial model is detected, and iteration optimization is carried out by combining the polynomial model and a double nested genetic algorithm. According to the method, non-probability robustness design is carried out based on interval mathematics according to the design needs of the high-speed press sliding block dimension, and a robust and optimal high-speed press sliding block design scheme can be obtained conveniently.

Description

technical field [0001] The invention relates to an interval-based robust design method for the slider size of a high-speed press. [0002] technical background [0003] In the design of high-speed presses, the design of the slider mechanism is very important. As a key force-applying mechanism, its design directly affects the stamping accuracy of the high-speed press and the service life of the matching die, so it is necessary to optimize its size. , improve the slider stiffness as much as possible on the basis of ensuring the weight and strength. [0004] In engineering practice, there are a large number of uncertain factors in the design of high-speed presses, which will cause the technical characteristics of the press to deviate from the specified standard values, so that the expected performance cannot be achieved. Many companies try to improve the performance of presses by controlling uncertain factors during the manufacturing and use stages, but this often increases cos...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem of the robust design of the slider size of the high-speed press when the probability distribution of the uncertain factors is unknown in engineering practice, the present invention provides a robust design method for the slider size of the high-speed press based on intervals, and adopts the dynamically updated Iterative optimization of multinomial surrogate model and double-layer nested multi-objective genetic algorithm only needs to know the upper and lower bounds of uncertain factors in the problem, and multi-objective genetic algorithm based on sorting is used to deal with multi-objective problems

Images