Development of tool life prediction model of TIALN coated tools during the high speed hard milling of AISI H13 steel
This paper presents the result of an experimental investigation on tool wear during the high speed end milling of AISI H13 tool steel by TiAlN coated carbide insert under dry cutting condition. Sufficient numbers of experiment were run based on the central composite design (CCD) concept of response...
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iium-268832013-09-10T07:10:44Z http://irep.iium.edu.my/26883/ Development of tool life prediction model of TIALN coated tools during the high speed hard milling of AISI H13 steel Khalid, A. K. H. 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 the result of an experimental investigation on tool wear during the high speed end milling of AISI H13 tool steel by TiAlN coated carbide insert under dry cutting condition. Sufficient numbers of experiment were run based on the central composite design (CCD) concept of response surface methodology (RSM) in order to generate tool life data. An empirical second order model in terms of cutting speed, feed and axial depth of cut has been developed for the effective prediction of tool life. The adequacy of the model has been verified by ANOVA under 95% confidence interval 2007-10 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/26883/1/DAAAM_Symp_07_%2319.pdf Khalid, A. K. H. and Amin, A. K. M. Nurul and Karim, A.N. Mustafizul and Lajis, Mohd Amri (2007) Development of tool life prediction model of TIALN coated tools during the high speed hard milling of AISI H13 steel. In: The 18th International DAAM Symposium on Intelligent Manufacturing and Automation, 24 - 27 October 2007, Zadar, Croatia. |
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International Islamic University Malaysia |
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Online Access |
language |
English |
topic |
T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity |
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T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity Khalid, A. K. H. Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri Development of tool life prediction model of TIALN coated tools during the high speed hard milling of AISI H13 steel |
description |
This paper presents the result of an experimental
investigation on tool wear during the high speed end milling of AISI H13 tool steel by TiAlN coated carbide insert under dry cutting condition. Sufficient numbers of experiment were run based on the central composite design (CCD) concept of response surface methodology (RSM) in order to generate tool life data. An empirical second order model in terms of cutting speed, feed and axial depth of cut has been developed for the effective prediction of tool life. The adequacy of the model has been verified by ANOVA under 95% confidence interval |
format |
Conference or Workshop Item |
author |
Khalid, A. K. H. Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri |
author_facet |
Khalid, A. K. H. Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri |
author_sort |
Khalid, A. K. H. |
title |
Development of tool life prediction model of TIALN coated tools during the high speed hard milling of AISI H13 steel |
title_short |
Development of tool life prediction model of TIALN coated tools during the high speed hard milling of AISI H13 steel |
title_full |
Development of tool life prediction model of TIALN coated tools during the high speed hard milling of AISI H13 steel |
title_fullStr |
Development of tool life prediction model of TIALN coated tools during the high speed hard milling of AISI H13 steel |
title_full_unstemmed |
Development of tool life prediction model of TIALN coated tools during the high speed hard milling of AISI H13 steel |
title_sort |
development of tool life prediction model of tialn coated tools during the high speed hard milling of aisi h13 steel |
publishDate |
2007 |
url |
http://irep.iium.edu.my/26883/ http://irep.iium.edu.my/26883/1/DAAAM_Symp_07_%2319.pdf |
first_indexed |
2023-09-18T20:40:00Z |
last_indexed |
2023-09-18T20:40:00Z |
_version_ |
1777409300937834496 |