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 tool...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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EuroJournals Publishing
2008
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| Online Access: | http://eprints.uthm.edu.my/5148/1/AJ%202017%20%28283%29%20Prediction%20of%20tool%20life%20in%20end%20milling.pdf |
| _version_ | 1796869150843338752 |
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| author | Lajis, M.A. Karim, A.N. Mustafizul A.K., M. Nurul Amin A., M.K. HAFIZ L., G. Turnad |
| author_facet | Lajis, M.A. Karim, A.N. Mustafizul A.K., M. Nurul Amin A., M.K. HAFIZ L., G. Turnad |
| author_sort | Lajis, M.A. |
| collection | UTHM |
| 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 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%. |
| first_indexed | 2024-03-05T21:50:32Z |
| format | Article |
| id | uthm.eprints-5148 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:50:32Z |
| publishDate | 2008 |
| publisher | EuroJournals Publishing |
| record_format | dspace |
| spelling | uthm.eprints-51482022-01-06T02:38:02Z http://eprints.uthm.edu.my/5148/ Prediction of tool life in end milling of hardened steel AISI D2 Lajis, M.A. Karim, A.N. Mustafizul A.K., M. Nurul Amin A., M.K. HAFIZ L., G. Turnad TJ Mechanical engineering and machinery 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%. EuroJournals Publishing 2008 Article PeerReviewed text en http://eprints.uthm.edu.my/5148/1/AJ%202017%20%28283%29%20Prediction%20of%20tool%20life%20in%20end%20milling.pdf Lajis, M.A. and Karim, A.N. Mustafizul and A.K., M. Nurul Amin and A., M.K. HAFIZ and L., G. Turnad (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 |
| spellingShingle | TJ Mechanical engineering and machinery Lajis, M.A. Karim, A.N. Mustafizul A.K., M. Nurul Amin A., M.K. HAFIZ L., G. Turnad Prediction of tool life in end milling of hardened steel AISI D2 |
| title | 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_short | 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 |
| topic | TJ Mechanical engineering and machinery |
| url | http://eprints.uthm.edu.my/5148/1/AJ%202017%20%28283%29%20Prediction%20of%20tool%20life%20in%20end%20milling.pdf |
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