Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method.
BACKGROUND
Optimization of machining parameters is essential for improving expected outcome of any machining operation.


METHODS
The aim of this work is to find out optimum values of machining parameters to achieve minimal surface roughness during milling operation of GFRP.


RESULTS
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.


CONCLUSIONS
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.
Department of Mechanical Engineering, SCSM CoE, Ahmednagar, India ; Manoharbhai Patel Institute of Engineering & Technology, Gondia, India.
Sachin
0000-0002-5977-5113
S
Ghalme
VM Institute of Engineering Technology, Nagpur, India.
Ankush
A
Mankar
MIT Academy of Engineering, Alandi, Pune, India.
Y J
YJ
Bhalerao
Design of experiment; GFRP; Optimization; Taguchi method