Hadi Tagimalek - Department of Mechanics, Urmia University, Urmia, Iran
Majid Azargoman - Department of Mechanics, Birjand University of Technology, Birjand, Iran
Mohammadreza Maraki - Department of Materials and metallurgy, Birjand University of Technology, Birjand, Iran
Hamoun Khatami - Department of Mechanics, Urmia University, Urmia, Iran
Amir Rafiee - Department of Mechanics, Urmia University, Urmia, Iran

The process of Tungsten arc welding process covered by protective gas (TIG) is used as an efficient method in many industries. The most important usages of this process are welding of Hard and non-hard metals, ferrous and nonferrous metals in all thicknesses. Correct selection of welding parameters in order to obtain suitable welding geometry has a significant effect on welding quality. Due to the sensitivity of the issue and the accuracy required, creating an accurate model of welding parameters is very important. Fuzzy logic is one of the best modeling and forecasting tools among modeling methods. In this research, fuzzy logic has been used to model the effect of welding parameters in order to achieve proper welding geometry. The results of the research show that the proposed model has a high degree of accuracy and capability.

Fuzzy logic, Weld geometry, TIG