Optimization of the Deposition Rate of Tungsten Inert Gas Mild Steel Using Response Surface Methodology

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.net/journal/eng
E-mail: [email protected]

Citations

"Optimization of the Deposition Rate of Tungsten Inert Gas Mild Steel Using Response Surface Methodology"
written by Nicholas Afemhonkike Imhansoloeva, Joseph Ifeanyi Achebo, Kessington Obahiagbon, John Osadolor Osarenmwinda, Collins Eruogun Etin-Osa,
published by Engineering, Vol.10 No.11, 2018

has been cited by the following article(s):

[1]	Optimization of Ship Stability through Response Surface Methodology: Enhancing Safety and Performance via Cross Curve Analysis
	International Journal of Marine …, 2024

[2]	Estimation of Undercuts in Mild Steel Weldment using Artificial Neural Network
	FUPRE Journal of Scientific and Industrial …, 2023

[3]	Selection of optimum process parameters for penetration depth improvement of welded mild steel joints
	Osa - Nigerian Journal of Technology, 2022

[4]	Prediction and Selection of the Best Process Parameters to Improve Toughness of Mild Steel Welded Joints
	2021

[5]	Optimization of the Tungsten Inert Gas Process Parameters using Response Surface Methodology
	2021

[6]	Magnetic Technique Estimation of Weld Residual Stress Failure Due to Tensile Loading
	2021

[7]	Prediction of Optimum Weld Tensile Strength Using Response Surface Methodology
	2021

[1]	Advanced Modeling and Optimization of Weldment Responses Using Statistical and Metaheuristic Techniques American Journal of Mechanical and Materials Engineering, 2025 DOI:10.11648/j.ajmme.20250901.13

[2]	The Influence of Process Parameters on Weld Droplet Diameter in MIG Welding: An Experimental Study American Journal of Materials Synthesis and Processing, 2025 DOI:10.11648/j.ajmsp.20251002.11

[3]	Predictive Modeling of Droplet Efficiency in MIG Welding of Mild Steel Using Artificial Neural Networks: Experimental Validation and Process Optimization American Journal of Mechanical and Materials Engineering, 2025 DOI:10.11648/j.ajmme.20250903.11

[4]	PREDICTIVE MODELLING OF TIG WELDING PROCESS PARAMETERS: A COMPARATIVE STUDY OF TAGUCHI, FUZZY LOGIC, AND RESPONSE SURFACE METHODOLOGY Nigerian Journal of Technology, 2025 DOI:10.4314/njt.v44i1.6

[5]	Optimization of the Tungsten Inert Gas Process Parameters using Response Surface Methodology International Journal of Emerging Scientific Research, 2021 DOI:10.37121/ijesr.vol2.150

[6]	Magnetic Technique Estimation of Weld Residual Stress Failure Due to Tensile Loading Engineering, 2021 DOI:10.4236/eng.2021.136019