@article{20173504088162 ,
language = {English},
copyright = {Compilation and indexing terms, Copyright 2023 Elsevier Inc.},
copyright = {Compendex},
title = {Numerical simulation and optimization in pulsed Nd: YAG laser welding of Hastelloy C-276 through Taguchi method and artificial neural network},
journal = {Optik},
author = {Bagchi, Ashutosh and Saravanan, S. and Shanthos Kumar, G. and Murugan, G. and Raghukandan, K.},
volume = {146},
year = {2017},
pages = {80 - 89},
issn = {00304026},
abstract = {The effect of process parameters viz., welding speed, pulse energy and frequency on the aspect ratio and the peak temperature in the numerical simulation of Nd: YAG laser welding of Hastelloy C-276 is presented. The experimental conditions are designed based on Taguchi L9 orthogonal array and the simulation is performed in SYSWELD 16, a 3 D software package. The optimized parameters for attaining a maximum aspect ratio and a minimum peak temperature (responses) were determined by computing the Signal-to-Noise Ratio (SNR). Mathematical model based on regression analysis was developed for predicting the responses using statistical software Minitab-16. Further, the simulation results are correlated with the regression and artificial neural network models. The deviation is estimated to be less than 10% indicating their effectiveness in predicting the responses. The experimental macrograph for the optimized condition is concurrent with the numerical simulation.<br/> &copy; 2017 Elsevier GmbH},
key = {Aspect ratio},
keywords = {Numerical methods;Pulsed lasers;Yttrium aluminum garnet;Numerical models;Computer software;Neodymium lasers;Signal to noise ratio;Taguchi methods;Laser beam welding;Neural networks;Regression analysis;},
note = {Artificial neural network models;Experimental conditions;L9 orthogonal arrays;Nd:YAG laser welding;Pulsed Nd:YAG laser welding;Simulation;Simulation and optimization;Statistical software - MINITAB;},
URL = {http://dx.doi.org/10.1016/j.ijleo.2017.08.082},
}

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The experimental conditions are designed based on Taguchi L9 orthogonal array and the simulation is performed in SYSWELD 16, a 3 D software package. The optimized parameters for attaining a maximum aspect ratio and a minimum peak temperature (responses) were determined by computing the Signal-to-Noise Ratio (SNR). Mathematical model based on regression analysis was developed for predicting the responses using statistical software Minitab-16. Further, the simulation results are correlated with the regression and artificial neural network models. The deviation is estimated to be less than 10% indicating their effectiveness in predicting the responses. 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The experimental conditions are designed based on Taguchi L9 orthogonal array and the simulation is performed in SYSWELD 16, a 3 D software package. The optimized parameters for attaining a maximum aspect ratio and a minimum peak temperature (responses) were determined by computing the Signal-to-Noise Ratio (SNR). Mathematical model based on regression analysis was developed for predicting the responses using statistical software Minitab-16. Further, the simulation results are correlated with the regression and artificial neural network models. The deviation is estimated to be less than 10% indicating their effectiveness in predicting the responses. 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