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基于非支配排序遗传算法的直缝焊管焊接工艺参数优化
Optimization of longitudinal welding parameters based on non-dominated sorting genetic algorithm
【摘要】 高频感应焊接的机理研究十分复杂,影响到焊接钢管高频加热温度分布的工艺参数众多,且影响程度和影响规律不尽相同。本文在建立的高频焊管主要电磁工艺参数和目标函数的映射模型基础上,利用改进的非支配排序遗传算法对直缝焊管高频感应焊接参数进行优化。对优化得到的Pareto最优解集进行综合分析,最终确定了该工况下当开口角为6°、电流频率为218.39 k Hz、线圈到V点距离为255 mm时,所对应的优化目标值均较小,其所对应焊缝的焊接质量较好。本文的研究为进一步提高高频焊管的焊接质量提供了理论依据。
【Abstract】 The mechanism of high frequency induction welding is very complicated. There are many processing parameters which influence the temperature distribution of high-frequency heating welded steel pipe in different ways. The processing parameters are optimized using improved non-dominated sorting genetic algorithm based on the mapping model with electromagnetic frequency welded pipe processing parameters and objective function in this paper. It is found from analysis the optimized Pareto solution that better quality of welding seam is obtained from lower optimization target with opening angle of 6°,frequency of 218. 39 k Hz,V point to the coil distance of 255 mm. This work provides a theoretical basis for further improving the quality of high-frequency welded pipe.
【Key words】 welded pipe; high-frequency welding; induction heating; temperature difference; residual stress;
- 【文献出处】 燕山大学学报 ,Journal of Yanshan University , 编辑部邮箱 ,2015年05期
- 【分类号】TG457.6
- 【被引频次】8
- 【下载频次】173