NDLI: Grey–Taguchi method to optimize the milling parameters of aluminum alloy

Content Provider	Springer Nature Link
Author	Tsao, C. C.
Copyright Year	2007
Abstract	The grey–Taguchi method was adopted in this study to optimize the milling parameters of A6061P-T651 aluminum alloy with multiple performance characteristics. A grey relational grade obtained from the grey relational analysis is used as the performance characteristic in the Taguchi method. Then, the optimal milling parameters are determined using the parameter design proposed by the Taguchi method. Experimental results indicate that the optimal process parameters in milling A6061P-T651 aluminum alloy can be determined effectively; the flank wear is decreased from 0.177 mm to 0.067 mm and the surface roughness is decreased from 0.44 μm to 0.24 μm, leading to a multiple performance characteristics improvement in milling qualities through the grey–Taguchi method.
Starting Page	41
Ending Page	48
Page Count	8
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	40
Issue Number	1-2
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2007-12-11
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	End mill Aluminum alloy Grey-Taguchi method Grey relational analysis Analysis of variance Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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