Regulated Metal Deposition (RMD™) welding process is fundamentally a modified short-circuit gas metal arc welding (GMAW) process wherein a precisely-controlled metal transfer provides uniform droplet deposition, making it easier for the welder to control the puddle and hence achieve an enhanced quality of welded joints. RMD technique was experimented and implemented on a variety of steels such as stainless steel, carbon steels, etc. However, obtaining satisfactory welding performance is indeed a challenging task during RMD. Hence, this study aims to assess the favorable parameters settings in order to optimize welding performance characteristics such as Heat affected zone (HAZ), depth of penetration (DOP) and bead width (BW) of Regulated Metal Deposited arc weldment using grey relation analysis integrated with fuzzy inference system with Taguchi approach. From the adopted methodology the optimal parameter settings for current (135 A), voltage (14 V), and gas flow rate (13 L/min) have been achieved. The study also tells that the voltage is the most influencing parameter during RMD welding.

规则金属沉积（RMD™）焊接工艺从根本上说是一种改进的短路气体金属电弧焊（GMAW）工艺，其中精确控制的金属转移可提供均匀的熔滴沉积，使焊工更容易控制熔池，从而实现提高焊接接头的质量。已对RMD技术进行了实验并在各种钢（例如不锈钢，碳钢等）上实施。但是，获得令人满意的焊接性能确实是RMD期间的一项艰巨任务。因此，本研究旨在评估有利的参数设置，以优化焊接性能特征，例如热影响区（HAZ），运用Taguchi法与模糊推理系统相结合的灰色关联分析法，对规定的金属熔敷弧焊件的熔深（DOP）和焊缝宽度（BW）进行了分析。通过采用的方法，已经实现了针对电流（135 A），电压（14 V）和气体流速（13 L / min）的最佳参数设置。研究还表明，电压是RMD焊接过程中影响最大的参数。