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首页> 外文期刊>Materials and Manufacturing Processes >Genetic-Algorithm-Based Computational Models for Optimizing the Process Parameters of A-TIG Welding to Achieve Target Bead Geometry in Type 304 L(N) and 316 L(N) Stainless Steels
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Genetic-Algorithm-Based Computational Models for Optimizing the Process Parameters of A-TIG Welding to Achieve Target Bead Geometry in Type 304 L(N) and 316 L(N) Stainless Steels

机译：基于遗传算法的A-TIG焊接工艺参数优化计算模型，以实现304 L（N）和316 L（N）型不锈钢的目标焊缝几何形状

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摘要

The weld-bead geometry in 304LN and 316LN stainless steels produced by A-TIG welding plays an important role in determining the mechanical properties of the weld and its quality. Its shape parameters such as bead width, depth of penetration, and reinforcement height are decided according to the A-TIG welding process parameters such as current, voltage, torch speed, and arc gap. Identification of a suitable combination of A-TIG process parameters to produce the desired weld-bead geometry required many experiments, and the experimental optimization of the A-TIG process was indeed time consuming and costly. Therefore it becomes necessary to develop a methodology for optimizing the A-TIG process parameters to achieve the target weld-bead geometry. In the present work, genetic algorithm (GA)-based computational models have been developed to determine the optimumear optimum process parameters to achieve the target weld-bead geometry in 304LN and 316LN stainless steel welds produced by A-TIG welding.
机译：通过A-TIG焊接生产的304LN和316LN不锈钢的焊缝几何形状在确定焊缝的机械性能及其质量方面起着重要作用。其形状参数（例如焊缝宽度，熔深和增强高度）是根据A-TIG焊接工艺参数（例如电流，电压，焊炬速度和电弧间隙）确定的。确定A-TIG工艺参数的合适组合以产生所需的焊缝几何形状需要进行大量实验，而对A-TIG工艺进行实验优化确实是耗时且昂贵的。因此，有必要开发一种用于优化A-TIG工艺参数以实现目标焊缝几何形状的方法。在当前的工作中，已经开发了基于遗传算法（GA）的计算模型来确定最佳/接近最佳工艺参数，以实现通过A-TIG焊接生产的304LN和316LN不锈钢焊缝中的目标焊缝几何形状。

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