Artificial Intelligence based optimization of weld bead geometry in laser welding of Al-Mg alloy sheet

Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 3

Abstract

 This paper reports on a modeling and optimization of laser welding of aluminum-magnesium alloy thickness of 1.7mm. Regression analysis is used for modeling and Genetic algorithm is used for optimize the process parameters.The input values for the regression methods is taken according the Taguchi based orthogonal array. A software named Computer aided Robust Parameter Genetic Algorithm CARPGA has been developed in MATLAB 2013 which combine all of these methodologies. This software has been validated with some published paper

Authors and Affiliations

Mr. Manoj Kumar1 , Mrs. Sony Tripathi

Keywords

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  • EP ID EP147160
  • DOI -
  • Views 106
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How To Cite

Mr. Manoj Kumar1, Mrs. Sony Tripathi (2014).  Artificial Intelligence based optimization of weld bead geometry in laser welding of Al-Mg alloy sheet. International Journal of Modern Engineering Research (IJMER), 4(3), 63-68. https://europub.co.uk./articles/-A-147160