Taguchi-based optimization technique for activated tungsten inert gas welding process

  • سال انتشار: 1401
  • محل انتشار: سی امین همایش سالانه بین المللی انجمن مهندسان مکانیک ایران
  • کد COI اختصاصی: ISME30_001
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 152
دانلود فایل این مقاله

نویسندگان

Reza Vafadarnia

PhD. Student, Islamic Azad University, Department of Mechanical Engineering, Aligudarz, Iran

Shahrouz Yousefzadeh

Assistant Professor, Islamic Azad University, Department of Mechanical Engineering, Aligudarz, Iran

Farhad Kolahan

Associate Professor, Ferdowsi University of Mashhad, Department of Mechanical Engineering, Mashhad, Iran

چکیده

In order to improve the performance of TIG welding process different methods have been proposed among which, activated tungsten inert gas (A-TIG) welding process is the most important one. In this study, Taguchi method, regression modeling and analysis of variance have been used to model and optimize A-TIG welding process. In this paper SiO۲, nano-particles have been considered as an activating flux. To gather the required data, Taguchi method has been employed. Then, process response parameters have been measured and their corresponding signal to noise (S/N) ratio values have been calculated. Different regression equations have been applied to model the process. Based on statistical findings, the most fitted models have been selected as an authentic representative of the process. Next, S/N analysis, in such a way that weld width minimized and depth of penetration is maximized has been used. Finally, experimental performance evaluation tests have been carried out, based on which it can be concluded that the proposed procedure is quite efficient (with less than ۷% error) in modeling and optimization of A-TIG welding process.

کلیدواژه ها

activated TIG welding process, depth of penetration, weld bead width, design of experiments, and signal to noise analysis.

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.