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Fuzzy logic predictive model of tool wear in end milling glass fibre reinforced polymer composites

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Main Authors: Azwan Iskandar, Azmi, Lin, Richard J.T., Bhattacharyya, Debes
Other Authors: azwaniskandar@unimap.edu.my
Format: Article
Language:English
Published: Trans Tech Publications. 2012
Subjects:
End milling
Fuzzy logic
Glass fibre reinforced polymer
Machinability
Tool wear
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21278
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spelling my.unimap-212782012-10-10T05:11:33Z Fuzzy logic predictive model of tool wear in end milling glass fibre reinforced polymer composites Azwan Iskandar, Azmi Lin, Richard J.T. Bhattacharyya, Debes azwaniskandar@unimap.edu.my End milling Fuzzy logic Glass fibre reinforced polymer Machinability Tool wear Link to publisher's homepage at http://www.ttp.net/ This paper presents development of tool wear prediction models in end milling of glass fibre reinforced polymer (GFRP) composites. Adaptive network based fuzzy inference system (ANFIS) was employed to accurately predict the amount of tool wear as a function of spindle speed, feed rate and measured machining forces. End milling experiments were performed with K20 tungsten carbide end mill cutter under dry condition in order to gather all experimental data. Results show that ANFIS is capable of estimating tool wear with excellent accuracy in the highly nonlinear region of tool wear and the machining forces relationships. Statistical analyses of the two tool wear-machining force ANFIS models reveal that the tool wear-feed force relationship has better predictive capability compared to that of the tool wear-cutting force relationship 2012-10-10T05:11:33Z 2012-10-10T05:11:33Z 2011-03 Article Advanced Materials Research, vol. 214, 2011, pages 329-333 1022-6680 http://www.scientific.net/AMR.214.329 http://hdl.handle.net/123456789/21278 en Trans Tech Publications.
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 End milling
Fuzzy logic
Glass fibre reinforced polymer
Machinability
Tool wear
spellingShingle End milling
Fuzzy logic
Glass fibre reinforced polymer
Machinability
Tool wear
Azwan Iskandar, Azmi
Lin, Richard J.T.
Bhattacharyya, Debes
Fuzzy logic predictive model of tool wear in end milling glass fibre reinforced polymer composites
description Link to publisher's homepage at http://www.ttp.net/
author2 azwaniskandar@unimap.edu.my
author_facet azwaniskandar@unimap.edu.my
Azwan Iskandar, Azmi
Lin, Richard J.T.
Bhattacharyya, Debes
format Article
author Azwan Iskandar, Azmi
Lin, Richard J.T.
Bhattacharyya, Debes
author_sort Azwan Iskandar, Azmi
title Fuzzy logic predictive model of tool wear in end milling glass fibre reinforced polymer composites
title_short Fuzzy logic predictive model of tool wear in end milling glass fibre reinforced polymer composites
title_full Fuzzy logic predictive model of tool wear in end milling glass fibre reinforced polymer composites
title_fullStr Fuzzy logic predictive model of tool wear in end milling glass fibre reinforced polymer composites
title_full_unstemmed Fuzzy logic predictive model of tool wear in end milling glass fibre reinforced polymer composites
title_sort fuzzy logic predictive model of tool wear in end milling glass fibre reinforced polymer composites
publisher Trans Tech Publications.
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21278
_version_ 1643793334024536064
score 13.222552

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