{"title":"Taguchi-based Optimization of Process Parameters for Quality Weld of Tungsten Inert Gas Bead-on Plate Welding on Low Carbon Steel","authors":"Debraj Das, J. Mitra, S. C. Saha, P. Biswas","doi":"10.1109/ICCE50343.2020.9290727","DOIUrl":null,"url":null,"abstract":"It is of great significance to select appropriate welding process parameters and their limits for quality weld in any welding process. Optimization of any welding process variables is markedly difficult because welding is a multi-factors process, which is impacted by lots process unpredictability. In this study, a multi-response optimization process has been applied for Tungsten Inert Gas (TIG) bead-on plate welding on low carbon steel. Taguchi’s method has been introduced for the designing of experiments with the intension of reducing the number of experimental runs. Three welding process parameters—current (I) from 130-190A, traverse speed(S) 0.30-0.75 m/min and gas flow rate (Gf) 12-18 lit./min with a constant voltage 25 V were considered in this analysis. The weld bead geometry viz. weld penetration, weld bead width or thickness and haz (heat affected zone) thickness were measured and also investigated the grain sizes and hardness of haz. The ANOVA (analysis of variance method) has been introduced to assess the significance of the parameters on overall quality of the weldment. It shows the workability of the Grey-based Taguchi method in manufacturing world for ongoing development in product quality. It has been noticed that the process variables were seriously impacted on weld bead as well as hardness and grains size of the haz.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE50343.2020.9290727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
It is of great significance to select appropriate welding process parameters and their limits for quality weld in any welding process. Optimization of any welding process variables is markedly difficult because welding is a multi-factors process, which is impacted by lots process unpredictability. In this study, a multi-response optimization process has been applied for Tungsten Inert Gas (TIG) bead-on plate welding on low carbon steel. Taguchi’s method has been introduced for the designing of experiments with the intension of reducing the number of experimental runs. Three welding process parameters—current (I) from 130-190A, traverse speed(S) 0.30-0.75 m/min and gas flow rate (Gf) 12-18 lit./min with a constant voltage 25 V were considered in this analysis. The weld bead geometry viz. weld penetration, weld bead width or thickness and haz (heat affected zone) thickness were measured and also investigated the grain sizes and hardness of haz. The ANOVA (analysis of variance method) has been introduced to assess the significance of the parameters on overall quality of the weldment. It shows the workability of the Grey-based Taguchi method in manufacturing world for ongoing development in product quality. It has been noticed that the process variables were seriously impacted on weld bead as well as hardness and grains size of the haz.
在任何焊接过程中,选择合适的焊接工艺参数及其限值对保证焊接质量都具有重要意义。由于焊接是一个多因素过程,受到许多工艺不可预测性的影响,因此任何焊接工艺变量的优化都是非常困难的。本研究将多响应优化工艺应用于低碳钢的钨惰性气体(TIG)焊接板焊接。田口的方法被引入到实验设计中,其目的是减少实验运行的次数。在此分析中考虑了三个焊接工艺参数:电流(I)为130-190A,导线速度(S)为0.30-0.75 m/min,气体流量(Gf)为12-18 l /min,电压为25 V恒定。测量了焊缝几何形状,即焊深、焊缝宽度或厚度、热影响区厚度,并研究了热影响区晶粒尺寸和硬度。引入方差分析方法(ANOVA)来评估各参数对焊件整体质量的影响程度。它显示了基于灰色的田口方法在制造业中产品质量持续发展的可行性。结果表明,工艺参数对焊头的硬度和晶粒尺寸均有较大影响。