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

S. Ghalme, A. Mankar, Y.J. Bhalerao

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)
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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.

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.
Original languageEnglish
Article number1376
Number of pages9
Publication statusPublished - 22 Aug 2016

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