面向节能高效的电弧焊工艺参数多目标优化方法  

Multi-objective optimization method for arc welding parameters oriented to energy saving and high thermal efficiency

作　　者：鄢威[1] 张辉[1] 张华[1] 江志刚[1] 向琴[1] 

机构地区：[1]武汉科技大学机械制造及自动化学院,湖北武汉430081

出　　处：《计算机集成制造系统》2015年第12期3174-3181,共8页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(51275365);国家863计划资助项目(2014AA041504);武汉科技大学青年科技骨干培育计划资助项目(2015X2049)~~

摘　　要：为降低电弧焊加工过程的能量消耗、减少环境排放,对电弧焊加工节能高效工艺参数优化问题进行了研究。建立了电弧焊加工过程电能消耗目标函数及热效率目标函数,在考虑焊接质量及设备、工艺对等实际约束的基础上,建立了以焊接电流和焊接速度为优化变量,以最小电能消耗(节能)和最大热有效利用率(高效)为优化目标的多目标优化模型;利用自适应进化梯度小生境遗传算法对模型进行了寻优求解;通过某阀座密封面手工电弧焊加工实例对所建模型及方法的可行性和有效性进行了验证,并将优化结果与实际结果及传统遗传算法的结果进行了比较分析。To reduce energy consumption and environmental emissions of arc welding process,aparameters optimization problem for energy saving and high thermal efficiency was researched.An energy consumption objective function and a thermal utilization objective function were established,and a multi-objective optimization model which took current and velocity as the variables,the minimum energy consumption（energy saving）and maximum thermal effective utilization rate（high thermal efficiency）as the optimization objectives was established based on the constraint of quality and the equipment.Adaptive and evolutionary Grad-included Niche Genetic Algorithm（AGNGA）was used to solve the model.A manual arc welding experiment case of valve seat sealing surface was performed to verify the feasibility and practicability of the proposed model and method,and the optimization results were analyzed with the results of actual measurement and the traditional genetic algorithm.

关 键 词：电弧焊 节能高效 多目标优化 进化梯度 小生境遗传算法 

分 类 号：TG444[金属学及工艺—焊接]