ABSTRACT

RMD™ welding has been developed for a variety of steels to regulate the rate of metal transfer effectively during the short-circuiting mode of the GMAW process. To achieve the desired weld quality, distinct process variables must be tuned precisely, which leads to an encouraging field of research known as parametric optimization. In this context, the gas flow rate (GFR), current (A), and voltage (V) were chosen as welding variables, and their effects have been examined for the depth of penetration (DOP) and heat-affected zone (HAZ). The work aims to determine favorable parameter settings besides optimizing the aforementioned variables of RMD^TM arc weldments. Hence, the satisfaction function approach has been implemented with the Taguchi method to evaluate the favorable process combination. Furthermore, the aforementioned welding variables were again optimized using NSGA II methodology, and a Pareto-front was also drawn for partially evaluating a set of actions with multi-dimensional outputs. The obtained Pareto optimal (PO) solutions aids in revealing the relationship between the performance characteristics and uncover the functioning of the process in an ideal manner. A confirmatory test was also performed, which validates the obtained optimal settings as 100 A current with 16 V voltage and 21 L/min. gas flow rate.

摘要

RMD™ 焊接已开发用于多种钢材，以在 GMAW 工艺的短路模式期间有效调节金属转移速率。为了实现所需的焊接质量，必须精确调整不同的工艺变量，这导致了一个令人鼓舞的研究领域，称为参数优化。在这种情况下，气体流速 (GFR)、电流 (A) 和电压 (V) 被选为焊接变量，并检查了它们对熔深 (DOP) 和热影响区 (HAZ) 的影响. 除了优化 RMD ^TM的上述变量外，该工作还旨在确定有利的参数设置电弧焊件。因此，满意度函数方法已与田口方法一起实施，以评估有利的过程组合。此外，上述焊接变量再次使用 NSGA II 方法进行了优化，并且还绘制了帕累托前沿，用于部分评估具有多维输出的一组动作。获得的帕累托最优 (PO) 解决方案有助于揭示性能特征之间的关系，并以理想的方式揭示过程的功能。还进行了验证性测试，验证获得的最佳设置为 100 A 电流、16 V 电压和 21 L/min。气体流速。