摘要
针对镁合金3C产品覆盖件冲压成形中温变复杂、工艺优化困难的问题,提出了一种新的优化算法。在多目标粒子群优化算法中,引入非线性自变惯性权值和非线性自变加速因子,构建工艺参数与成形质量之间的数学分析模型。通过实例验证了算法的有效性,优化了镁合金3C产品覆盖件冲压成形工艺参数,提高了工件成形质量。
A new optimization algorithm has been proposed to solve the problems of complicated temperature change and difficult process optimization during stamping of magnesium alloy 3C product cover parts. In the multi-objective particle swarm optimization algorithm, nonlinear self-varying inertia weight and nonlinear self-varying acceleration factor have been introduced to construct the mathematical analysis model between process parameters and forming quality. The effectiveness of the algorithm has been verified by an example,while the stamping forming process parameters of magnesium alloy 3C product cover parts have been optimized, and the forming quality of the workpiece has been improved.
作者
高孝书
曹桐
张宗
GAO Xiaoshu;CAO Tong;ZHANG Zong(School of Industrial Engineering,Ningxia Polytechnic College,Yinchuan 750021,Ningxia China)
出处
《锻压装备与制造技术》
2022年第4期111-114,共4页
China Metalforming Equipment & Manufacturing Technology
基金
宁夏自然科学基金项目(2020AAC03257)
宁夏青年科技人才托举工程项目(2019TJGC053)。
关键词
粒子群算法
3C产品覆盖件
冲压成形
工艺优化
Particle swarm algorithm
3C product covers
Stamping forming
Process optimization
