Open AccessOptimization of the Tungsten Inert Gas Process Parameters using Response Surface Methodology
Author(s) -
P. Pondi,
Joseph I. Achebo,
A. Ozigagun
Publication year - 2021
Publication title -
international journal of emerging scientific research
Language(s) - English
Resource type - Journals
ISSN - 2756-6773
DOI - 10.37121/ijesr.vol2.150
Subject(s) - brinell scale , response surface methodology , central composite design , inert gas , welding , tungsten , design of experiments , materials science , current (fluid) , process variable , voltage , outgassing , process (computing) , design–expert , mechanical engineering , process engineering , metallurgy , composite material , engineering , computer science , mathematics , ultimate tensile strength , statistics , chemistry , organic chemistry , electrical engineering , operating system
Optimization is a very important techniques applied in the manufacturing industry that utilizes mathematical and artificial intelligence methods. The complexity associated with most optimization techniques have resulted to search for new ones. This search has led to the emergence of response surface methodology (RSM). The paper aims to optimize tungsten inert gas process parameters required to eliminate post-weld crack formation and stabilize heat input in mild steel weldment using RSM. The main input variables considered are voltage, current and speed whereas the response parameter is Brinell hardness number (BHN). The statistical design of experiment was done using the central composite design technique. The experiment was implemented 20 times with 5 specimens per experiment. The responses were measured, recorded and optimized using RSM. From the results, it was observed that a voltage of 21.95 V, current of 190.0 A, and welding speed of 5.00 mm/s produced a weld material with the following optimal properties; BHN (200.959 HAZ), heat input (1.69076 kJ/mm), cooling rate (72.07 /s), preheat temperature (150.68 ) and amount of diffusible hydrogen (12.36 mL/100g). The optimal solution was selected by design expert with a desirability value of 95.40 %.