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Application of ANFIS system in prediction of machining parameters

Since cutting conditions have an influence on reducing the production cost and time of machining process and also the quality of a final product the prediction of output machining parameters such as surface roughness and tool life criteria for different cutting speed, feed rate, depth of cut and to...

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Main Authors: Shirdar, Mostafa Rezazadeh, Nilashi, Mehrbakhsh, Bagherifard, Karamollah, Ibrahim, Othman, Izman, S., Moradifard, Hossein, Janahmadi, Nasim, Barisamy, Mehdi
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2011
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/6970/1/10Vol33No1.pdf
http://eprints.utm.my/id/eprint/6970/
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spelling my.utm.69702017-02-15T00:29:54Z http://eprints.utm.my/id/eprint/6970/ Application of ANFIS system in prediction of machining parameters Shirdar, Mostafa Rezazadeh Nilashi, Mehrbakhsh Bagherifard, Karamollah Ibrahim, Othman Izman, S. Moradifard, Hossein Janahmadi, Nasim Barisamy, Mehdi TJ Mechanical engineering and machinery Since cutting conditions have an influence on reducing the production cost and time of machining process and also the quality of a final product the prediction of output machining parameters such as surface roughness and tool life criteria for different cutting speed, feed rate, depth of cut and tool geometry is one of vital modules in process planning of metal parts. In this study with use of experimental results on machining of ST-37 and subsequently, ANFIS system, importance of each parameter was studied. These parameters were considered as input in order to predict the surface finish and tool life criteria, two conflicting objectives, as the process performance. In this paper ANFIS system was applied to predict output parameters of machining. Results show that amount of input influence on the outputs parameters. By using ANFIS input parameters entered to ANFIS system then all training data was trained with 300 epochs. After training the value of error which is 1.039e-006 was calculated. Asian Research Publishing Network (ARPN) 2011 Article PeerReviewed text/html en http://eprints.utm.my/id/eprint/6970/1/10Vol33No1.pdf Shirdar, Mostafa Rezazadeh and Nilashi, Mehrbakhsh and Bagherifard, Karamollah and Ibrahim, Othman and Izman, S. and Moradifard, Hossein and Janahmadi, Nasim and Barisamy, Mehdi (2011) Application of ANFIS system in prediction of machining parameters. Journal of Theoretical and Applied Information Technology, 33 (1). pp. 83-93. ISSN 1992-8645
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Shirdar, Mostafa Rezazadeh
Nilashi, Mehrbakhsh
Bagherifard, Karamollah
Ibrahim, Othman
Izman, S.
Moradifard, Hossein
Janahmadi, Nasim
Barisamy, Mehdi
Application of ANFIS system in prediction of machining parameters
description Since cutting conditions have an influence on reducing the production cost and time of machining process and also the quality of a final product the prediction of output machining parameters such as surface roughness and tool life criteria for different cutting speed, feed rate, depth of cut and tool geometry is one of vital modules in process planning of metal parts. In this study with use of experimental results on machining of ST-37 and subsequently, ANFIS system, importance of each parameter was studied. These parameters were considered as input in order to predict the surface finish and tool life criteria, two conflicting objectives, as the process performance. In this paper ANFIS system was applied to predict output parameters of machining. Results show that amount of input influence on the outputs parameters. By using ANFIS input parameters entered to ANFIS system then all training data was trained with 300 epochs. After training the value of error which is 1.039e-006 was calculated.
format Article
author Shirdar, Mostafa Rezazadeh
Nilashi, Mehrbakhsh
Bagherifard, Karamollah
Ibrahim, Othman
Izman, S.
Moradifard, Hossein
Janahmadi, Nasim
Barisamy, Mehdi
author_facet Shirdar, Mostafa Rezazadeh
Nilashi, Mehrbakhsh
Bagherifard, Karamollah
Ibrahim, Othman
Izman, S.
Moradifard, Hossein
Janahmadi, Nasim
Barisamy, Mehdi
author_sort Shirdar, Mostafa Rezazadeh
title Application of ANFIS system in prediction of machining parameters
title_short Application of ANFIS system in prediction of machining parameters
title_full Application of ANFIS system in prediction of machining parameters
title_fullStr Application of ANFIS system in prediction of machining parameters
title_full_unstemmed Application of ANFIS system in prediction of machining parameters
title_sort application of anfis system in prediction of machining parameters
publisher Asian Research Publishing Network (ARPN)
publishDate 2011
url http://eprints.utm.my/id/eprint/6970/1/10Vol33No1.pdf
http://eprints.utm.my/id/eprint/6970/
_version_ 1643644678113853440
score 13.211869

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