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Prediction of surface roughness in turning operation of low carbon steel AISI 1018

The present thesis discusses the development of the first order and second order models for predicting the roughness in turning operation of low carbon steel AISI 1018 using CVD coated carbide tips. The first order and second order equation was developed using the Response Surface Method (RSM). The...

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Main Author: Fakhrur Razi, Bahrin
Format: Undergraduates Project Papers
Language:English
Published: 2009
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/17381/1/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018.pdf
http://umpir.ump.edu.my/id/eprint/17381/
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spelling my.ump.umpir.173812022-11-25T02:59:20Z http://umpir.ump.edu.my/id/eprint/17381/ Prediction of surface roughness in turning operation of low carbon steel AISI 1018 Fakhrur Razi, Bahrin TA Engineering (General). Civil engineering (General) The present thesis discusses the development of the first order and second order models for predicting the roughness in turning operation of low carbon steel AISI 1018 using CVD coated carbide tips. The first order and second order equation was developed using the Response Surface Method (RSM). The cutting variables were the cutting speed, feed rate and depth of cut. The study found that the predictive models able to predict the longitudinal component of the surface roughness close to those readings recorded experimentally with a 95% confident interval. The two equations indicate that the feed rate was the most dominant cutting condition on the surface roughness, followed by the depth of cut and then by the cutting speed. The surface roughness increases with increasing the feed rate and depths of cut but decreases with increasing cutting speed. In addition, the second order model proves the existence of a very strong interaction of the feed rate with depth of cut. 2009-11 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/17381/1/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018.pdf Fakhrur Razi, Bahrin (2009) Prediction of surface roughness in turning operation of low carbon steel AISI 1018. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Fakhrur Razi, Bahrin
Prediction of surface roughness in turning operation of low carbon steel AISI 1018
description The present thesis discusses the development of the first order and second order models for predicting the roughness in turning operation of low carbon steel AISI 1018 using CVD coated carbide tips. The first order and second order equation was developed using the Response Surface Method (RSM). The cutting variables were the cutting speed, feed rate and depth of cut. The study found that the predictive models able to predict the longitudinal component of the surface roughness close to those readings recorded experimentally with a 95% confident interval. The two equations indicate that the feed rate was the most dominant cutting condition on the surface roughness, followed by the depth of cut and then by the cutting speed. The surface roughness increases with increasing the feed rate and depths of cut but decreases with increasing cutting speed. In addition, the second order model proves the existence of a very strong interaction of the feed rate with depth of cut.
format Undergraduates Project Papers
author Fakhrur Razi, Bahrin
author_facet Fakhrur Razi, Bahrin
author_sort Fakhrur Razi, Bahrin
title Prediction of surface roughness in turning operation of low carbon steel AISI 1018
title_short Prediction of surface roughness in turning operation of low carbon steel AISI 1018
title_full Prediction of surface roughness in turning operation of low carbon steel AISI 1018
title_fullStr Prediction of surface roughness in turning operation of low carbon steel AISI 1018
title_full_unstemmed Prediction of surface roughness in turning operation of low carbon steel AISI 1018
title_sort prediction of surface roughness in turning operation of low carbon steel aisi 1018
publishDate 2009
url http://umpir.ump.edu.my/id/eprint/17381/1/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018.pdf
http://umpir.ump.edu.my/id/eprint/17381/
_version_ 1751536343585914880
score 13.211869

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