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Simulated annealing to estimate the optimal cutting conditions for minimizing surface roughness in end milling Ti-6Al-4V

This study presents the estimation of the optimal effect of the radial rake angle of the tool, combined with cutting speed and feed in influencing the surface roughness result. Studies on optimization of cutting conditions for surface roughness in end milling involving radial rake angle are still la...

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Main Authors: Mohd. Zain, Azlan, Haron, Habibollah, Sharif, Safian
Format: Article
Published: Taylor & Francis 2010
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/26664/
http://dx.doi.org/10.1080/10910340903586558
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spelling my.utm.266642019-05-22T01:17:14Z http://eprints.utm.my/id/eprint/26664/ Simulated annealing to estimate the optimal cutting conditions for minimizing surface roughness in end milling Ti-6Al-4V Mohd. Zain, Azlan Haron, Habibollah Sharif, Safian QA75 Electronic computers. Computer science This study presents the estimation of the optimal effect of the radial rake angle of the tool, combined with cutting speed and feed in influencing the surface roughness result. Studies on optimization of cutting conditions for surface roughness in end milling involving radial rake angle are still lacking. Therefore, considering the radial rake angle, this study applied simulated annealing in determining the solution of the cutting conditions to obtain the minimum surface roughness when end milling Ti-6Al-4V. Considering a set of experimental machining data, the regression model is developed. The best regression model was considered to formulate the fitness function of the simulated annealing. It was recommended that the cutting conditions should be set at highest cutting speed, lowest feed and highest radial rake angle in order to achieve the minimum surface roughness of 0.1385 µm. Subsequently, it was found that by using simulated annealing, the minimum surface roughness was much lower than the experimental sample data, regression modelling and response surface methodology technique by about 27%, 26% and 50%, respectively. Taylor & Francis 2010-01 Article PeerReviewed Mohd. Zain, Azlan and Haron, Habibollah and Sharif, Safian (2010) Simulated annealing to estimate the optimal cutting conditions for minimizing surface roughness in end milling Ti-6Al-4V. Machining Science And Technology, 14 (1). pp. 43-62. ISSN 1091-0344 http://dx.doi.org/10.1080/10910340903586558 DOI:10.1080/10910340903586558
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/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohd. Zain, Azlan
Haron, Habibollah
Sharif, Safian
Simulated annealing to estimate the optimal cutting conditions for minimizing surface roughness in end milling Ti-6Al-4V
description This study presents the estimation of the optimal effect of the radial rake angle of the tool, combined with cutting speed and feed in influencing the surface roughness result. Studies on optimization of cutting conditions for surface roughness in end milling involving radial rake angle are still lacking. Therefore, considering the radial rake angle, this study applied simulated annealing in determining the solution of the cutting conditions to obtain the minimum surface roughness when end milling Ti-6Al-4V. Considering a set of experimental machining data, the regression model is developed. The best regression model was considered to formulate the fitness function of the simulated annealing. It was recommended that the cutting conditions should be set at highest cutting speed, lowest feed and highest radial rake angle in order to achieve the minimum surface roughness of 0.1385 µm. Subsequently, it was found that by using simulated annealing, the minimum surface roughness was much lower than the experimental sample data, regression modelling and response surface methodology technique by about 27%, 26% and 50%, respectively.
format Article
author Mohd. Zain, Azlan
Haron, Habibollah
Sharif, Safian
author_facet Mohd. Zain, Azlan
Haron, Habibollah
Sharif, Safian
author_sort Mohd. Zain, Azlan
title Simulated annealing to estimate the optimal cutting conditions for minimizing surface roughness in end milling Ti-6Al-4V
title_short Simulated annealing to estimate the optimal cutting conditions for minimizing surface roughness in end milling Ti-6Al-4V
title_full Simulated annealing to estimate the optimal cutting conditions for minimizing surface roughness in end milling Ti-6Al-4V
title_fullStr Simulated annealing to estimate the optimal cutting conditions for minimizing surface roughness in end milling Ti-6Al-4V
title_full_unstemmed Simulated annealing to estimate the optimal cutting conditions for minimizing surface roughness in end milling Ti-6Al-4V
title_sort simulated annealing to estimate the optimal cutting conditions for minimizing surface roughness in end milling ti-6al-4v
publisher Taylor & Francis
publishDate 2010
url http://eprints.utm.my/id/eprint/26664/
http://dx.doi.org/10.1080/10910340903586558
_version_ 1643647823344828416
score 13.211869

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