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Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method

INTRODUCTION: Optimization of machining parameters is essential for improving expected outcome of any machining operation. CASE DESCRIPTION: The aim of this work is to find out optimum values of machining parameters to achieve minimal surface roughness during milling operation of GFRP. DISCUSSION AN...

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Detalles Bibliográficos
Autores principales: Ghalme, Sachin, Mankar, Ankush, Bhalerao, Y. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993720/
https://www.ncbi.nlm.nih.gov/pubmed/27610295
http://dx.doi.org/10.1186/s40064-016-3055-y
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author Ghalme, Sachin
Mankar, Ankush
Bhalerao, Y. J.
author_facet Ghalme, Sachin
Mankar, Ankush
Bhalerao, Y. J.
author_sort Ghalme, Sachin
collection PubMed
description INTRODUCTION: Optimization of machining parameters is essential for improving expected outcome of any machining operation. CASE DESCRIPTION: The aim of this work is to find out optimum values of machining parameters to achieve minimal surface roughness during milling operation of GFRP. DISCUSSION AND EVALUATION: In this machining operation speed, depth of cut and feed rate are considered as parameters affecting surface roughness and Design of Experiment (DOE)-Taguchi method tool is used to plan experiments and analyse results. CONCLUSION: Analysis of experimental results presents optimum values of these three parameters to achieve minimal surface roughness with speed as a major contributing factor. Speed—200 rpm, depth of cut—1.2 mm and feed—40 mm/min are an optimal combination of machining parameter to produce minimal surface roughness during milling of GFRP.
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spelling pubmed-49937202016-09-08 Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method Ghalme, Sachin Mankar, Ankush Bhalerao, Y. J. Springerplus Case Study INTRODUCTION: Optimization of machining parameters is essential for improving expected outcome of any machining operation. CASE DESCRIPTION: The aim of this work is to find out optimum values of machining parameters to achieve minimal surface roughness during milling operation of GFRP. DISCUSSION AND EVALUATION: In this machining operation speed, depth of cut and feed rate are considered as parameters affecting surface roughness and Design of Experiment (DOE)-Taguchi method tool is used to plan experiments and analyse results. CONCLUSION: Analysis of experimental results presents optimum values of these three parameters to achieve minimal surface roughness with speed as a major contributing factor. Speed—200 rpm, depth of cut—1.2 mm and feed—40 mm/min are an optimal combination of machining parameter to produce minimal surface roughness during milling of GFRP. Springer International Publishing 2016-08-22 /pmc/articles/PMC4993720/ /pubmed/27610295 http://dx.doi.org/10.1186/s40064-016-3055-y Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Case Study
Ghalme, Sachin
Mankar, Ankush
Bhalerao, Y. J.
Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method
title Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method
title_full Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method
title_fullStr Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method
title_full_unstemmed Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method
title_short Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method
title_sort parameter optimization in milling of glass fiber reinforced plastic (gfrp) using doe-taguchi method
topic Case Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993720/
https://www.ncbi.nlm.nih.gov/pubmed/27610295
http://dx.doi.org/10.1186/s40064-016-3055-y
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