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

Lajis, M. A. and Mustafizul Karim, A. N. and Nurul Amin, A. K. M. and Hafiz, A. M. K. and Turnad, L. G. (2008) Prediction of tool life in end milling of hardened steel AISI D2. European Journal of Scientific Research, 21 (4). pp. 592-602. ISSN 1450216X

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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 TiAlN 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%.

Item Type: Article
Uncontrolled Keywords: Hardened steel; tool life; response surface methodology (RSM); hard milling
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ1125-1345 Machine shops and machine shop practice
Divisions: Faculty of Mechanical and Manufacturing Engineering > Department of Manufacturing and Industrial Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 20 Feb 2019 08:12
Last Modified: 20 Feb 2019 08:12
URI: http://eprints.uthm.edu.my/id/eprint/10725
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