Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel

This paper presents a study on the development of an effective method to predict surface roughness for high speed end milling of AISI H13 tool steel using PCBN inserts. The response surface methodology (RSM) has been utilized for the postulation of a second order quadratic model in terms of cutt...

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Main Authors:	Hafiz, A.M. Khalid, Amin, A. K. M. Nurul, Karim, A.N. Mustafizul, Lajis, Mohd Amri
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2007
Subjects:	T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity
Online Access:	http://irep.iium.edu.my/26850/ http://irep.iium.edu.my/26850/ http://irep.iium.edu.my/26850/1/Model_for_H13_%236.pdf

id	iium-26850
recordtype	eprints
spelling	iium-268502013-09-09T03:40:08Z http://irep.iium.edu.my/26850/ Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel Hafiz, A.M. Khalid Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity This paper presents a study on the development of an effective method to predict surface roughness for high speed end milling of AISI H13 tool steel using PCBN inserts. The response surface methodology (RSM) has been utilized for the postulation of a second order quadratic model in terms of cutting speed, axial depth of cut and feed. Sufficient numbers of experiments were run based on the Box-Wilson central composite design (CCD) concept of RSM in order to generate roughness data. The ANOVA technique has been used to verify the adequacy of the model at 95% confidence interval. From the model it was found that feed plays the most dominating role on surface finish followed by the cutting speed. However, axial depth of cut does not have significant effect on roughness value. The roughness tends to decrease with decreasing feed and increasing cutting speed. IEEE 2007 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/26850/1/Model_for_H13_%236.pdf Hafiz, A.M. Khalid and Amin, A. K. M. Nurul and Karim, A.N. Mustafizul and Lajis, Mohd Amri (2007) Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel. In: 2007 IEEE International Conference on Industrial Engineering and Engineering Management, 2 - 4 December 2007, Singapore. doi:10.1109/IEEM.2007.4419516
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity
spellingShingle	T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity Hafiz, A.M. Khalid Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel
description	This paper presents a study on the development of an effective method to predict surface roughness for high speed end milling of AISI H13 tool steel using PCBN inserts. The response surface methodology (RSM) has been utilized for the postulation of a second order quadratic model in terms of cutting speed, axial depth of cut and feed. Sufficient numbers of experiments were run based on the Box-Wilson central composite design (CCD) concept of RSM in order to generate roughness data. The ANOVA technique has been used to verify the adequacy of the model at 95% confidence interval. From the model it was found that feed plays the most dominating role on surface finish followed by the cutting speed. However, axial depth of cut does not have significant effect on roughness value. The roughness tends to decrease with decreasing feed and increasing cutting speed.
format	Conference or Workshop Item
author	Hafiz, A.M. Khalid Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri
author_facet	Hafiz, A.M. Khalid Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri
author_sort	Hafiz, A.M. Khalid
title	Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel
title_short	Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel
title_full	Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel
title_fullStr	Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel
title_full_unstemmed	Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel
title_sort	development of surface roughness prediction model using response surface methodology in high speed end milling of aisi hi3 tool steel
publisher	IEEE
publishDate	2007
url	http://irep.iium.edu.my/26850/ http://irep.iium.edu.my/26850/ http://irep.iium.edu.my/26850/1/Model_for_H13_%236.pdf
first_indexed	2023-09-18T20:39:56Z
last_indexed	2023-09-18T20:39:56Z
_version_	1777409296809590784

Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel

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