An Improved Robust Design Model Based on Hybrid Response Surface Optimization Strategy

摘要：

The relationships between quality characteristics and uncertain factors are unknown or complicated in most practical engineering optimal problems.To solve this problem a robust optimal model based on hybrid response face was proposed.The relationships between quality characteristics and uncertain factors were investigated;the hybrid response surface optimization strategy was set up to balance the relationship between compute precision and cost;the linear physical programming was used to compromise the values of quality characteristics and quality variations.An engineering example was analyzed and the results show that the proposed approach is feasible.

关键词： polynomial response surface artificial neural network quality characteristics linear physical programming robust design

作者: Huanwei Xu Hong-Zhong Huang Liping He Hu Wan Zhonglai Wang

作者单位: School of Mechatronics Engineering University of Electronic Science and Technology of China Chengdu,China

会议类型: 国际会议

会议名称: 2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)

会议地点: 成都

会议语种:英文

页码: 1045-1048

在线出版日期: 2009-08-24（万方平台首次上网日期，不代表论文的发表时间）