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Application of grey-fuzzy logic for the optimization of process parameters on CNC turning of EN8-steel

International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012) organized by School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 27th - 28th Februari 2012 at Bayview Beach Resort, Penang, Malaysia.

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Bibliographic Details
Main Authors: Acharya, A. K., Thatoi, D. N., Routara, B. C.
Other Authors: asitacharya@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Grey-relational analysis
Fuzzy-logic
Optimization
ANOVA
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/19646
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spelling my.unimap-196462012-06-04T10:11:12Z Application of grey-fuzzy logic for the optimization of process parameters on CNC turning of EN8-steel Acharya, A. K. Thatoi, D. N. Routara, B. C. asitacharya@yahoo.com massthatoi@gmail.com bcroutray@gmail.com Grey-relational analysis Fuzzy-logic Optimization ANOVA International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012) organized by School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 27th - 28th Februari 2012 at Bayview Beach Resort, Penang, Malaysia. This paper presents an effective approach of greyfuzzy logic to optimize the cutting parameters in CNC turning with respect to multiple roughness characteristics. Four cutting parameters, namely, depth of cut, spindle speed, feed rate and nose radius are optimized considering three surface roughness parameters; centre line average, peak-valley height and maximum height of profile. An orthogonal array (L27), grey relational generation, grey relational coefficient and grey –fuzzy grade obtained from the grey relational analysis which is used as performance index to solve the optimization problem of turning parameters for EN-8 steel. Taguchi orthogonal array, the signal-to-noise ratio, and the analysis of variance are used to investigate the optimal levels of cutting parameters. The confirmation tests are conducted to verify the results and it is observed that grey-fuzzy approach is efficient in determining the optimal cutting parameters based on multiple surface roughness characteristics. 2012-06-04T10:11:12Z 2012-06-04T10:11:12Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/19646 en Proceedings of the International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012) Universiti Malaysia Perlis (UniMAP) Pusat Pengajian Kejuruteraan Mekatronik
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Grey-relational analysis
Fuzzy-logic
Optimization
ANOVA
spellingShingle Grey-relational analysis
Fuzzy-logic
Optimization
ANOVA
Acharya, A. K.
Thatoi, D. N.
Routara, B. C.
Application of grey-fuzzy logic for the optimization of process parameters on CNC turning of EN8-steel
description International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012) organized by School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 27th - 28th Februari 2012 at Bayview Beach Resort, Penang, Malaysia.
author2 asitacharya@yahoo.com
author_facet asitacharya@yahoo.com
Acharya, A. K.
Thatoi, D. N.
Routara, B. C.
format Working Paper
author Acharya, A. K.
Thatoi, D. N.
Routara, B. C.
author_sort Acharya, A. K.
title Application of grey-fuzzy logic for the optimization of process parameters on CNC turning of EN8-steel
title_short Application of grey-fuzzy logic for the optimization of process parameters on CNC turning of EN8-steel
title_full Application of grey-fuzzy logic for the optimization of process parameters on CNC turning of EN8-steel
title_fullStr Application of grey-fuzzy logic for the optimization of process parameters on CNC turning of EN8-steel
title_full_unstemmed Application of grey-fuzzy logic for the optimization of process parameters on CNC turning of EN8-steel
title_sort application of grey-fuzzy logic for the optimization of process parameters on cnc turning of en8-steel
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/19646
_version_ 1643792846670528512
score 13.211869

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