Effects of parameter optimization on microstructure and properties of GTAW clad welding on AISI 304L stainless steel using Inconel 52M

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• 作者：Chun-Ming Lin ; Te-Li Su ; Keo-Yuan Wu
• 关键词：Nuclear power plants ; Piping systems ; GTAW clad welding ; Parameter optimization ; Taguchi method
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：79
• 期：9-12
• 页码：2057-2066
• 全文大小：1,705 KB
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• 作者单位：Chun-Ming Lin (1)
  Te-Li Su (2)
  Keo-Yuan Wu (1)
  
  1. Department of Materials Science and Engineering, National Tsing Hua University, 101, Sec. 2, Kuang-Fu Road, Hsinchu, 30013, Taiwan
  2. Department of Yun-Lin Branch, Taiwan Textile Research Institute, Yunlin, 640, Taiwan
  
• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015

文摘

In this study, the Taguchi Method was employed to determine the optimal parameters for cladding AISI 304?L stainless steel (SS) with four layers of Inconel 52?M using gas tungsten arc welding (GTAW). The variables included current, voltage, and cladding speed, all of which can affect the cladding angle. Analysis of the microstructure and mechanical properties of the weldments revealed that multiple thermal cycles reduced the hardness of the cladding layer to less than that of the Inconel 52?M cladding layer and AISI 304?L SS. The resulting change in microstructure led to an overall decrease in hardness, proportional to the number of cladding layers. This can be attributed to changes in the composition of the alloy (i.e., dilution effect) caused by the overlapping layers of cladding, which led to fluctuations in thermal efficiency during the solidification process. Our results demonstrate the excellent results that can be obtained using the proposed parameter settings for cladding AISI 304?L with Inconel 52?M as well as the efficiency of techniques such as the Taguchi method for the optimization of multiple interrelated parameters.