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

Abstract: To reduce energy consumption and environmental emissions of arc welding process,a parameters 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.

Key words: arc welding, energy saving and high thermal efficiency, multi-objective optimization, evolutionary gradient, niche genetic algorithm