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  • International Journal of Engineering Science and Application
  • Volume:2 Issue:3
  • Optimization of TIG Welding Input Variables for AISI 1020 Low Carbon Steel Plate Using Response Surf...

Optimization of TIG Welding Input Variables for AISI 1020 Low Carbon Steel Plate Using Response Surface Methodology

Authors : Aniekan IKPE, İkechukwu OWUNNA
Pages : 113-122
View : 103 | Download : 14
Publication Date : 2018-09-27
Article Type : Research Paper
Abstract :Based on the Design of experiment insert ignore into journalissuearticles values(DOE);, an experimental design matrix having thirteen insert ignore into journalissuearticles values(13); center points, six insert ignore into journalissuearticles values(6); axial points and eight insert ignore into journalissuearticles values(8); factorial points resulting in twenty insert ignore into journalissuearticles values(20); experimental runs was generated which included temperature ranging from 96.13 - 213.86 A, voltage ranging from 16.95-27.04 V and gas flow rate ranging from 11.29-19.70 L/min. The aforementioned twenty runs were used as input parameters for TIG welding experimental procedure as well as prediction and optimization using Response Surface Methodology insert ignore into journalissuearticles values(RSM);, with the output responses being temperature distribution, Induced Stress Distribution and bead penetration depth.   The optimization result revealed that an input current of 120 A, voltage of 23.95 V and gas flow rate of 15.63 L/min will produce a weld material with temperature of 326.53 0 C, ISD of 231.746 N/m 2 and bead penetration depth of 6.47911 mm. To validate the results, regression plot between the experimental values and RSM predicted values showed proximity in the coefficient of determination insert ignore into journalissuearticles values(R 2 ); for the output responses, indicating that RSM can be used as alternative tool to the prediction and optimization of weld parameters.
Keywords : Optimization, Weld parameters, Experimentation, Weld quality

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