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提出了一种综合运用试验设计、响应曲面法及多目标优化的工艺参数优化方法,以成形效率和时效后材料的屈服强度为试验指标,以时效温度、时效时间和应力为试验变量,按Box-Behnken试验设计方案进行试验;利用试验结果构造试验指标和试验变量间的响应曲面并对其分析;结合响应曲面建立多目标优化模型;运用基于动态目标加权的具有量子行为的粒子群算法得到Pareto最优解集;提出一种最小归一化距离选解法,从非劣解集中选出最优解,得到综合最优工艺解187.9℃、6.42 h、250 MPa。按优化前后的工艺参数进行单曲率蠕变时效成形试验,相比优化前,成形效率由14.0%提高到19.4%,屈服强度由442.354 MPa提高到451.786 MPa,两个目标同时得到了优化,验证了工艺参数优化方法的有效性。
A comprehensive optimization of process parameters based on experimental design, response surface methodology and multi-objective optimization is presented. The yield strength of the material is taken as the experimental index after the forming efficiency and the aging time. Taking the aging temperature, the aging time and the stress as the experimental variables, -Behnken test design scheme; using the test results to construct and analyze the response surface between the experimental and experimental variables; combining the response surface to establish a multi-objective optimization model; using the particle swarm optimization algorithm based on dynamic target weighting with quantum behavior to obtain Pareto The optimal solution set is proposed. A minimum normalized distance solution method is proposed. The optimal solution is selected from the non-defective solution set to obtain the integrated optimal solution of 187.9 ℃, 6.42 h and 250 MPa. According to the process parameters before and after optimization, the single-rate creep aging forming test was carried out. Before the optimization, the forming efficiency increased from 14.0% to 19.4% and the yield strength increased from 442.354 MPa to 451.786 MPa. Both objectives were simultaneously optimized and verified The effectiveness of the process parameter optimization method.