Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam

Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam

This work describes the Taguchi analysis coupled with Artificial Neural network and Genetic algorithm to optimize the robot deposition parameters used for plasma coating on titanium aluminum alloy material. L27 orthogonal array have been used for coating the work piece using robot. The Arc current (...

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Bibliographic Details
Main Authors: S., Prabhu, B.K., Vinayagam
Format: Article
Language:English
Published: Faculty of Mechanical Engineering & UiTM Press 2017
Subjects:
Analysis
Algorithms
Online Access:http://ir.uitm.edu.my/id/eprint/17471/
http://ir.uitm.edu.my/id/eprint/17471/1/AJ_S.%20PRABHU%20JME%2017.pdf
id uitm-17471
recordtype eprints
spelling uitm-174712018-07-16T07:48:24Z http://ir.uitm.edu.my/id/eprint/17471/ Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam S., Prabhu B.K., Vinayagam Analysis Algorithms This work describes the Taguchi analysis coupled with Artificial Neural network and Genetic algorithm to optimize the robot deposition parameters used for plasma coating on titanium aluminum alloy material. L27 orthogonal array have been used for coating the work piece using robot. The Arc current (Amp), Arc voltage (volt), powder feed rate(mm/sec), substrate Surface Roughness (μm), Spray gun distance (mm) and TiO2 content in feedstock (%) have been considered as input parameters and coating efficiency is considered as output parameters. Using feed forward Artificial Neural Networks (ANNs) trained the experimental values with the Levenberg–Marquardt algorithm, the most influential of the factors were determined. Regression analysis are used to predict the robot coating efficiency and ANOVA analysis are used to contribute the individual process parameter on robot deposition coating efficiency. The developed mathematical model was further analyzed with Genetic algorithm to find out the optimum conditions leading to the maximum coating efficiency. Faculty of Mechanical Engineering & UiTM Press 2017 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/17471/1/AJ_S.%20PRABHU%20JME%2017.pdf S., Prabhu and B.K., Vinayagam (2017) Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam. Journal of Mechanical Engineering, 14 (1). pp. 125-150. ISSN 1823-5514
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Analysis
Algorithms
spellingShingle Analysis
Algorithms
S., Prabhu
B.K., Vinayagam
Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam
description This work describes the Taguchi analysis coupled with Artificial Neural network and Genetic algorithm to optimize the robot deposition parameters used for plasma coating on titanium aluminum alloy material. L27 orthogonal array have been used for coating the work piece using robot. The Arc current (Amp), Arc voltage (volt), powder feed rate(mm/sec), substrate Surface Roughness (μm), Spray gun distance (mm) and TiO2 content in feedstock (%) have been considered as input parameters and coating efficiency is considered as output parameters. Using feed forward Artificial Neural Networks (ANNs) trained the experimental values with the Levenberg–Marquardt algorithm, the most influential of the factors were determined. Regression analysis are used to predict the robot coating efficiency and ANOVA analysis are used to contribute the individual process parameter on robot deposition coating efficiency. The developed mathematical model was further analyzed with Genetic algorithm to find out the optimum conditions leading to the maximum coating efficiency.
format Article
author S., Prabhu
B.K., Vinayagam
author_facet S., Prabhu
B.K., Vinayagam
author_sort S., Prabhu
title Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam
title_short Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam
title_full Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam
title_fullStr Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam
title_full_unstemmed Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam
title_sort optimization of robot plasma coating efficiency using genetic algorithm and neural networks / s.prabhu and b.k.vinayagam
publisher Faculty of Mechanical Engineering & UiTM Press
publishDate 2017
url http://ir.uitm.edu.my/id/eprint/17471/
http://ir.uitm.edu.my/id/eprint/17471/1/AJ_S.%20PRABHU%20JME%2017.pdf
first_indexed 2023-09-18T22:58:23Z
last_indexed 2023-09-18T22:58:23Z
_version_ 1777418008164040704

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