摘要
在基于近似模型的仅考虑参数不确定性的铸造工艺稳健设计方法中,由于近似模型并不能完全准确地替代真实铸造工艺过程,导致优化结果必然存在较大误差。为了提高优化结果的有效性,提出了一种新的基于双层Kriging迭代策略的低压铸造工艺稳健优化设计方法。在分析不确定性时引入了近似模型不确定性的影响,建立低压铸造工艺稳健优化模型,之后再利用粒子群算法得到最优稳健解。最后通过实例分析,证明提出的稳健优化方法能得出稳健性能良好的铸造工艺解。
In the robust design method of casting process based on approximate model,due to only considering the parameter uncertainty,the approximate model cannot completely replace the real casting process,so there must be a big error in the optimization result.In order to improve the effectiveness of optimization results,a new robust optimization design method was proposed for low-pressure casting process based on double-layer Kriging iteration strategy,and the influence of approximate model uncertainty was introduced by analyzing the uncertainty,then,establishing a robust optimization model of low pressure casting process.Then the particle swarm optimization algorithm was used to obtain the optimal robust solution.Finally,an example shows that the robust optimization method proposed can obtain the solution of casting process with good robustness.
作者
高晓灵
唐红涛
黄攀
秦红斌
Gao Xiaoling;Tang Hongtao;Huang Pan;Qin Hongbin(Hubei Key Laboratory of Digital Manufacturing,School of Mechanical and Electrical Engineering,Wuhan University of Technology)
出处
《特种铸造及有色合金》
CAS
北大核心
2020年第6期595-600,共6页
Special Casting & Nonferrous Alloys
基金
国家自然科学基金资助项目(51705384)。
关键词
双层Kriging模型迭代策略
低压铸造
工艺参数
稳健设计
粒子群算法
Double-layer Kriging Iteration Strategy
Low-pressure Casting
Technological Parameter
Robust Design
Particle Swarm Optimization
