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 English English English
Published:	2009
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/17381/ http://umpir.ump.edu.my/id/eprint/17381/ http://umpir.ump.edu.my/id/eprint/17381/1/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/17381/2/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/17381/13/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/17381/14/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20References.pdf

id	ump-17381
recordtype	eprints
spelling	ump-173812017-04-06T05:44:16Z 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 application/pdf en http://umpir.ump.edu.my/id/eprint/17381/1/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20Table%20of%20contents.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17381/2/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17381/13/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17381/14/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20References.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. http://iportal.ump.edu.my/lib/item?id=chamo:45960&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English 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/ http://umpir.ump.edu.my/id/eprint/17381/ http://umpir.ump.edu.my/id/eprint/17381/1/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/17381/2/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/17381/13/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/17381/14/Prediction%20of%20surface%20roughness%20in%20turning%20operation%20of%20low%20carbon%20steel%20AISI%201018%20-%20References.pdf
first_indexed	2023-09-18T22:23:57Z
last_indexed	2023-09-18T22:23:57Z
_version_	1777415841795538944

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

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