Process Parameters Optimization of Micro Plasma Welding for Small-Scaled SUS 304 Pipe

  • Xiao-Qing Lin
  • Jhao-Jhong Su
  • Chao-Ming Hsu
  • Ah-Der LinEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 293)


This study discusses the parameter optimization of a SUS304 micro-tube using a micro-plasma welding process. The micro plasma welding machine used in this study is a self-designed, semi-automatic welding machine with self-designed fitting clasps. The Taguchi method was used to design an experiment for the optimization of the process parameters including welding current, speed of the automatic turntable, and the flow rate of the back-blown air. The standard of optimization is the tensile strength and the auxiliary standards include metallographic microscopic observation of the weld bead and tensile breaking forms.


Taguchi method Micro-plasma welding process SUS304 Optimization 


  1. 1.
    Zhou, Z.-B., Cai P.-C., & Guo Y.-C. (2003). Welding Institution. Taipei: Chuan Hwa Science & Technology Book Co. Google Scholar
  2. 2.
    Lee, H.-H. (2010). Taguchi methods principles and practices of quality design. Taipei: Gau Lih Book Co., Ltd.Google Scholar
  3. 3.
    Lai, G.-Z. (2010). Development of plus type process of gas tungsten arc welding on 6061 aluminum alloy. Thesis, Department of Mechanical Engineering, Cheng Shiu University.Google Scholar
  4. 4.
    Lin, S.-J., Ye, J.-W., Liu Z.-F., Li, & S.-L. (2003). Materials engineering experiments and theory. Taipei: Chuan Hwa Science & Technology Book Co.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Xiao-Qing Lin
    • 1
  • Jhao-Jhong Su
    • 1
  • Chao-Ming Hsu
    • 1
  • Ah-Der Lin
    • 2
    Email author
  1. 1.Department of Mechanical EngineeringNational Kaohsiung University of Applied ScienceKaohsiungTaiwan, Republic of China
  2. 2.Department of Mechanical EngineeringCheng-Shiu UniversityKaohsiungTaiwan, Republic of China

Personalised recommendations