Prediction of tool life in end milling of hardened steel AISI D2

Most published research works on the development of tool life model in machining of hardened steels have been mainly concerned with the turning process, whilst the milling process has received little attention due to the complexity of the process. Thus, the aim of present study is to develope a too...

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Main Authors: Lajis, M. A., Karim, A.N. Mustafizul, Amin, A. K. M. Nurul, Hafiz, A. M. Khalid, Turnad L., Ginta
Format: Article
Language:English
Published: EuroJournals Publishing, Inc. 2008
Subjects:
Online Access:http://irep.iium.edu.my/26853/
http://irep.iium.edu.my/26853/
http://irep.iium.edu.my/26853/1/TL_Mill_D2_%238.pdf
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recordtype eprints
spelling iium-268532013-07-19T03:35:30Z http://irep.iium.edu.my/26853/ Prediction of tool life in end milling of hardened steel AISI D2 Lajis, M. A. Karim, A.N. Mustafizul Amin, A. K. M. Nurul Hafiz, A. M. Khalid Turnad L., Ginta T58.7 Production capacity. Manufacturing capacity Most published research works on the development of tool life model in machining of hardened steels have been mainly concerned with the turning process, whilst the milling process has received little attention due to the complexity of the process. Thus, the aim of present study is to develope a tool life model in end milling of hardened steel AISI D2 using PVD TiAIN coated carbide cutting tool. The hardness of AISI D2 tool lies within the range of 56-58 HRC. The independent variables or the primary machining parameters selected for this experiment were the cutting speed, feed, and depth of cut. First and second order models were developed using Response Surface Methodology (RSM). Experiments were conducted within specified ranges of the parameters. Design-Expert 6.0 software was used to develop the tool life equations as the predictive models. The predicted tool life results are presented in terms of both 1st and 2nd order equations with the aid of a statistical design of experiment software called Design-Expert version 6.0. Analysis of variance (ANOVA) has indicated that both models are valid in predicting the tool life of the part machined under specified condition and the prediction of average error is less than 10%. EuroJournals Publishing, Inc. 2008 Article PeerReviewed application/pdf en http://irep.iium.edu.my/26853/1/TL_Mill_D2_%238.pdf Lajis, M. A. and Karim, A.N. Mustafizul and Amin, A. K. M. Nurul and Hafiz, A. M. Khalid and Turnad L., Ginta (2008) Prediction of tool life in end milling of hardened steel AISI D2. European Journal of Scientific Research, 21 (4). pp. 592-602. ISSN 1450-216X, http://www.eurojournals.com/ejsr.htm
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T58.7 Production capacity. Manufacturing capacity
spellingShingle T58.7 Production capacity. Manufacturing capacity
Lajis, M. A.
Karim, A.N. Mustafizul
Amin, A. K. M. Nurul
Hafiz, A. M. Khalid
Turnad L., Ginta
Prediction of tool life in end milling of hardened steel AISI D2
description Most published research works on the development of tool life model in machining of hardened steels have been mainly concerned with the turning process, whilst the milling process has received little attention due to the complexity of the process. Thus, the aim of present study is to develope a tool life model in end milling of hardened steel AISI D2 using PVD TiAIN coated carbide cutting tool. The hardness of AISI D2 tool lies within the range of 56-58 HRC. The independent variables or the primary machining parameters selected for this experiment were the cutting speed, feed, and depth of cut. First and second order models were developed using Response Surface Methodology (RSM). Experiments were conducted within specified ranges of the parameters. Design-Expert 6.0 software was used to develop the tool life equations as the predictive models. The predicted tool life results are presented in terms of both 1st and 2nd order equations with the aid of a statistical design of experiment software called Design-Expert version 6.0. Analysis of variance (ANOVA) has indicated that both models are valid in predicting the tool life of the part machined under specified condition and the prediction of average error is less than 10%.
format Article
author Lajis, M. A.
Karim, A.N. Mustafizul
Amin, A. K. M. Nurul
Hafiz, A. M. Khalid
Turnad L., Ginta
author_facet Lajis, M. A.
Karim, A.N. Mustafizul
Amin, A. K. M. Nurul
Hafiz, A. M. Khalid
Turnad L., Ginta
author_sort Lajis, M. A.
title Prediction of tool life in end milling of hardened steel AISI D2
title_short Prediction of tool life in end milling of hardened steel AISI D2
title_full Prediction of tool life in end milling of hardened steel AISI D2
title_fullStr Prediction of tool life in end milling of hardened steel AISI D2
title_full_unstemmed Prediction of tool life in end milling of hardened steel AISI D2
title_sort prediction of tool life in end milling of hardened steel aisi d2
publisher EuroJournals Publishing, Inc.
publishDate 2008
url http://irep.iium.edu.my/26853/
http://irep.iium.edu.my/26853/
http://irep.iium.edu.my/26853/1/TL_Mill_D2_%238.pdf
first_indexed 2023-09-18T20:39:56Z
last_indexed 2023-09-18T20:39:56Z
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