Flux assisted tungsten inert gas welding process optimization using design of experiments approach and heuristic algorithm

سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 159

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شناسه ملی سند علمی:

ISME30_074

تاریخ نمایه سازی: 29 خرداد 1401

چکیده مقاله:

This paper reports a regression modeling and optimization procedure for activated tungsten inert gas (A-TIG) welding process of AISI۳۱۶L austenitic stainless steel parts using Taguchi design of experiments (DOE), regression modeling, analysis of variance (ANOVA) and simulated annealing (SA) algorithm. Welding current (I), torch speed (S) and welding gap (G) are the most significant process input parameters has been considered in this study. Depth of penetration (DOP) and weld bead width (WBW) have been taken in to account as the most essential quality measures of the process under study. SiO۲ surface activating flux powder (in scale of nano-particles) have been used to enhance TIG welding process characteristics. To gather required data for modeling and statistical analysis purposes, DOE based on orthogonal array (OR) Taguchi method has been used. Then, modeling has been performed using different regression equations (including linear, curvilinear and logarithmic models). Statistical analysis based on analysis of variance (ANOVA) has been performed and the most fitted models were selected as an authentic representative of the process characteristics. Next, these models were used for optimization of process parameters in such a way that DOP is maximized and WBW minimized using simulated annealing (SA) algorithm. Finally, a set of experimental tests has been carried out through which the proposed method has been validated. Furthermore, results of SA optimization method have been compared with ones gained using signal to noise (S/N) analysis based on Taguchi procedure. Results shown the proposed procedure is quite efficient in modeling and optimization of the A-TIG process.

کلیدواژه ها:

Activated TIG (A-TIG) welding process ، depth of penetration (DOP) ، weld bead width (WBW) ، Taguchi method ، Regression modeling ، Analysis of variance (ANOVA) ، Optimization ، Simulated annealing (SA) algorithm.

نویسندگان

Hamid Dalir

Ferdowsi Combined Cycle Power Plant, Operation and maintenance (O&M) Company, MAPNA Group

Masoud Azadi Moghaddam

PhD. Student, Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

Farhad Kolahan

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