Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 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 cutting...

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Main Authors: Hafiz, A. K. M., Amin, A. K. M. Nurul, Karim, A.N. Mustafizul, Lajis, Mohd Amri
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
Online Access:http://irep.iium.edu.my/16683/
http://irep.iium.edu.my/16683/
http://irep.iium.edu.my/16683/1/IEEE_Hafiz_et_al.pdf
id iium-16683
recordtype eprints
spelling iium-166832012-04-10T06:37:08Z http://irep.iium.edu.my/16683/ Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 tool steel Hafiz, A. K. M. Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri TJ Mechanical engineering and machinery 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. 2007 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/16683/1/IEEE_Hafiz_et_al.pdf Hafiz, A. K. M. 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 H13 tool steel. In: International Conference on Industrial Engineering and Engineering Management, 2 - 5 December 2007, Singapore. http://www-edc.eng.cam.ac.uk/kim/calls/462dd3d46f78?mode=summary&action=view
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Hafiz, A. K. M.
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 H13 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. K. M.
Amin, A. K. M. Nurul
Karim, A.N. Mustafizul
Lajis, Mohd Amri
author_facet Hafiz, A. K. M.
Amin, A. K. M. Nurul
Karim, A.N. Mustafizul
Lajis, Mohd Amri
author_sort Hafiz, A. K. M.
title Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 tool steel
title_short Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 tool steel
title_full Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 tool steel
title_fullStr Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 tool steel
title_full_unstemmed Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 tool steel
title_sort development of surface roughness prediction model using response surface methodology in high speed end milling of aisi h13 tool steel
publishDate 2007
url http://irep.iium.edu.my/16683/
http://irep.iium.edu.my/16683/
http://irep.iium.edu.my/16683/1/IEEE_Hafiz_et_al.pdf
first_indexed 2023-09-18T20:25:26Z
last_indexed 2023-09-18T20:25:26Z
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