A Robust Optimal Design Method for Press Upper Beam Based on Negative Ideal Solution Approaching Distance

Abstract

The invention discloses a method for robust optimal design of the upper beam of a press based on the close distance of the negative ideal solution. It includes the following steps: considering the randomness of the load on the upper beam of the press and the interval uncertainty of its material properties, based on the 6σ robust design principle, establishing a robust optimal design model for the upper beam that includes random-interval mixed uncertain variables; The nested genetic algorithm directly solves the optimization model; the inner layer uses the Kriging prediction model to analyze the interval robustness of each design vector, and uses the Monte Carlo method to calculate the mean and standard deviation of the objective function and each constraint performance function; the outer layer Using the calculation results of the inner layer, all design vectors are classified, sorted and optimized based on the total feasible robustness coefficient of the constraint performance function and the close distance of the negative ideal solution. The invention conforms to engineering practice, avoids subjective interference, and has good engineering practicability.

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

Images