Robust optimization design of a machine based on the blind number theory
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摘要: 在機械穩健性優化設計中不確定變量常被假定為服從某種特定分布的隨機變量,在隨后的優化模型中丟掉了這些不確定變量的初始數據,這種對不確定變量的處理方式往往不能真切地反映不確定變量的本質,使得出的結論偏離事實.為了更加真切地反映這些不確定變量,使用盲數表達機械設計中的不確定變量,運用盲數運算規則表達各不確定變量之間的關系,把盲數理論和穩健設計相結合,建立基于盲數理論的穩健設計優化模型.使用該優化模型對一個氣動換向裝置進行了優化計算,優化結果好于傳統的穩健設計結果.基于盲數的方法是一種離散化的數值計算方法,算例充分展示了其靈活性,證明了該優化方法是合理的和實用的.Abstract: In robust optimization mechanical design, uncertainty variables are often assumed to be stochastic variables complying with special distribution and these uncertainty variables' original data are discarded, in the succedent optimization design model. That method cannot often reflect these uncertain variables' essence, consequently a far-from-fact conclusion is obtained. In order to describe these uncertain variables actually, the uncertain variables in mechanical design were expressed in blind number and the relation between variables was expressed in the operation rule of blind number. Combining the blind number theory and the robust design method, a robust optimization design model was built. Using this model in optimization design of an air driving reversing device, the result is better than that from traditional robust design. The method based on blind number is a kind of discrete numerical calculation method, and the example unfurls its flexible fully and proves that this optimization method is reasonable and practicable.
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Key words:
- robust design /
- optimum design /
- blind number /
- numerical calculation /
- optimization model
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