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

被引:12
作者
Ghalme, Sachin [1 ,2 ]
Mankar, Ankush [3 ]
Bhalerao, Y. J. [4 ]
机构
[1] SCSM CoE, Dept Mech Engn, Ahmednagar, India
[2] Manoharbhai Patel Inst Engn & Technol, Gondia, India
[3] VM Inst Engn Technol, Nagpur, Maharashtra, India
[4] MIT Acad Engn, Pune, Maharashtra, India
来源
SPRINGERPLUS | 2016年 / 5卷
关键词
Optimization; GFRP; Design of experiment; Taguchi method;
D O I
10.1186/s40064-016-3055-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:9
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