Title : ( Regression‑driven modeling and optimization of ultrasonic‑assisted activated flux tungsten inert gas welding on AISI 316L )
Authors: MAHDI MAZLOOM FARSIBAF , Mohammad Naser Sadraee Far , Ahmad Nourani , Farhad Kolahan , Sadegh Elhami ,
Abstract
This study investigates the ultrasonic-assisted activated tungsten inert gas (UA-TIG) welding process, a promising technique for advanced manufacturing. The objective was to model and optimize UA-TIG parameters to enhance weld geometry, spe- cifically achieving a high depth-to-width (D/W) aspect ratio. Activated by SiO 2 nanoparticles as flux, the process employed central composite design (CCD) to examine the influence of welding current, travel speed, and ultrasonic vibration amplitude across five levels. Bead-on-plate welding tests on AISI 316L stainless steel were supported by simulations to identify optimal ultrasonic zones. Using analysis of variance (ANOVA) and response surface methodology (RSM) for optimization, results revealed robust regression modeling with an error margin below 6%. Compared to tungsten inert gas (TIG) and activated flux TIG (A-TIG) methods, UA-TIG welding achieved a substantial D/W improvement, enhancing the ratio by 320% and 56%, respectively. UA-TIG welding also demonstrated the highest microhardness (210 Vickers) among the tested samples and effectively minimized heat affected zone (HAZ) width, showcasing its superior thermal control and weld quality. This work demonstrates UA-TIG’s effectiveness in achieving superior weld geometry with optimized parameters, indicating its potential for widespread application in precision welding.
Keywords
, Ultrasonic activating flux tungsten inert gas welding (UA, TIG) · Simulation · Regression analysis · Optimization · Response surface methodology · Sio2 nanoparticle, activated flux@article{paperid:1103330,
author = {MAZLOOM FARSIBAF, MAHDI and Sadraee Far, Mohammad Naser and Nourani, Ahmad and Kolahan, Farhad and Elhami, Sadegh},
title = {Regression‑driven modeling and optimization of ultrasonic‑assisted activated flux tungsten inert gas welding on AISI 316L},
journal = {welding in the world},
year = {2025},
volume = {69},
number = {6},
month = {May},
issn = {0043-2288},
pages = {1--12},
numpages = {11},
keywords = {Ultrasonic activating flux tungsten inert gas welding (UA-TIG) · Simulation · Regression analysis ·
Optimization · Response surface methodology · Sio2 nanoparticle-activated flux},
}
%0 Journal Article
%T Regression‑driven modeling and optimization of ultrasonic‑assisted activated flux tungsten inert gas welding on AISI 316L
%A MAZLOOM FARSIBAF, MAHDI
%A Sadraee Far, Mohammad Naser
%A Nourani, Ahmad
%A Kolahan, Farhad
%A Elhami, Sadegh
%J welding in the world
%@ 0043-2288
%D 2025