Press machine upper cross beam robust optimization design method based on negative ideal solution close distance

Abstract

The invention discloses a press machine upper beam robust optimization design method based on a negative ideal solution approaching distance. The method comprises the following steps: considering randomness of loads borne by an upper cross beam of a press machine and interval uncertainty of material attributes of the upper cross beam, and establishing a robust optimization design model for upper beam with random-interval mixed uncertainty variable based on a 6 sigma robustness design principle;directly solving the optimization model based on a double-layer nested genetic algorithm; enabling the inner layer to perform interval robustness analysis on each design vector by using a Kriging prediction model, and calculate a mean value and a standard deviation of the target function and each constraint performance function by using a Monte Carlo method; and enabling the outer layer to use an inner layer calculation result, and classify sort and optimize all the design vectors based on the constraint performance function total feasible robustness coefficient and the negative ideal solution close distance. The method conforms to engineering practice, subjective interference is avoided, andgood engineering practicability is achieved.

Description

technical field [0001] The invention belongs to the field of structural optimization design of complex mechanical equipment, and relates to a method for robust optimal design of an upper beam of a press based on a negative ideal solution close distance. [0002] technical background [0003] The performance of the upper beam directly affects the stamping accuracy of the press and the service life of the matching die. In order to ensure the stamping accuracy and the service life of the matching die, after determining the topological shape of the beam on the press, it is necessary to optimize the design of its size parameters to ensure its performance. [0004] There are usually a large number of uncertain factors in the design and manufacture of presses. These uncertain factors will make the performance of the press deviate from the design expectation and fail to achieve the expected performance. However, the distribution characteristics of these uncertain factors are often m...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem of robust optimal design of the upper beam of the press under the coexistence of uncertain factors in the probability interval, the present invention provides a robust optimal design method for the upper beam of the press based on the negative ideal solution close distance

Therefore, the proposed method can efficiently solve the problem of robust optimal design of the upper beam of the press under the coexistence of probability-interval mixed uncertainty factors

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