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

Ghalme, S., Mankar, A. and Bhalerao, Y.J. (2016) Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method. SpringerPlus, 5. ISSN 2193-1801

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Abstract

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.

Item Type: Article
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Depositing User: LivePure Connector
Date Deposited: 14 Jan 2020 05:00
Last Modified: 06 Nov 2020 01:31
URI: https://ueaeprints.uea.ac.uk/id/eprint/73613
DOI: 10.1186/s40064-016-3055-y

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