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[CN 201910195091.1] A Robust Optimization Design Method for Upper Beam of Press Based on Close Distance of Negative Ideal Solution
[CN 201910195091.1] A Robust Optimization Design Method for Upper Beam of Press Based on Negative Ideal Solution Closeness Distance Title: A Robust Optimization Design Method for Upper Beam of Press Based on Negative Ideal Solution Closeness Distance Application Number: CN 201910195091.1 Applicant: Zhejiang University Application Date: 2019-3-14 Patent Type: Invention Application The present invention discloses a Robust Optimization Design Method for Upper Beam of Press Based on Negative Ideal Solution Closeness Distance. The following steps are included: considering the randomness of the load on the upper beam of the press and the interval uncertainty of its material properties, establishing a robust optimization design model of the upper beam containing random-interval mixed uncertainty variables based on the 6σ robust design principle; directly solving the optimization model based on the double-layer nested genetic algorithm; and using the Kriging prediction model to analyze the interval robustness of each design vector in the inner layer, the mean and standard deviation of the target function and each constraint performance function are calculated by Monte Carlo method, and the outer layer uses the inner layer calculation results to classify, sort and seek excellence of all design vectors based on the total feasible robustness coefficient and negative ideal solution proximity distance of the constraint performance function. The invention conforms to the engineering practice, avoids subjective interference and has good engineering practicability.
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