Abstract
IntroductionOptimization of machining parameters is essential for improving expected outcome of any machining operation.Case DescriptionThe 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 EvaluationIn 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.ConclusionAnalysis 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.
Highlights
Optimization of machining parameters is essential for improving expected outcome of any machining operation
Considering surface roughness and oil viscosity as two factors, we evaluated the effect on the coefficient of friction, for analysis and experimentation Design of Experiment (DOE)-Taguchi technique implemented successfully
The experimental work carried out to determine the effect of machining parameters on milling of Glass fiber reinforced plastics (GFRPs) composite
Summary
Optimization of machining parameters is essential for improving expected outcome of any machining operation. Achieving optimal surface roughness during milling is necessary for the certain application which is affected by various cutting parameters. An attempt is made towards the optimization of machining parameters for minimization of surface roughness for achieving a desirable quality of milled slots in fiberglass, which in turn critically increase the life of the fiberglass parts.
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