机械科学与技术2017，Vol.36Issue(7)：1116-1123,8.DOI:10.13433/j.cnki.1003-8728.2017.0722
蠕变时效成形工艺参数多目标优化
Multi-objective Optimization of Processing Parameters for Creep Aging Forming via Particle Swarm Algorithm
甘忠 1张尧 1冯爽 1王亚茹 1梁森森1
作者信息
摘要
Abstract
An optimization method for processing parameters is presented,which is a comprehensive applying for experimental design,response surface method and multi-objective optimization.Taking the forming efficiency and the yield strength as the optimization indexes,aging temperature,aging time and stress as the optimization variables,the experiments are conducted according to Box-Behnken design principle.Then the response surface models are constructed based on the experimental results,and the multi-objective optimization model is further established.The Dynamic weighted aggregation based on the quantum-behaved particle swarm optimization algorithm is introduced to provide the designer with a set of Pareto optimal solutions,a minimum normalized distance method has been presented to select the optimal solution and the corresponding processing parameters (187.9 ℃,6.42 h,250 MPa) are the comprehensive optimal parameters.Tension of creep aging have been carried out with the parameters pre-and post-optimization,the results show that the forming efficiency increase from 14.0％ to 19.4％ and the yield strength increase from 442.354 MPa to 451.786 MPa,which prove the present processing parameter optimization method for creep aging forming is effective.关键词
蠕变时效成形/Box-Behnken试验设计/响应曲面/粒子群算法/多目标优化Key words
creep aging forming/box-behnken design/response surface method/particle swarm optimization/multi-objective optimization分类
矿业与冶金引用本文复制引用
甘忠,张尧,冯爽,王亚茹,梁森森..蠕变时效成形工艺参数多目标优化[J].机械科学与技术,2017,36(7):1116-1123,8.
