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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
Descripción
Sumario: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.