Statistical model to determine surface roughness when milling hastelloy C-22HS
The aim of this study is to develop the surface roughness prediction models, with the aid of statistical methods, for hastelloy C-22HS when machined by PVD and CVD coated carbide cutting tools under various cutting conditions. These prediction models were then compared with the results obtained expe...
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Korean Society of Mechanical Engineers
2023
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| author | Kadirgama K. Abou-El-Hossein K.A. Mohammad B. Habeeb H. |
| author2 | 12761486500 |
| author_facet | 12761486500 Kadirgama K. Abou-El-Hossein K.A. Mohammad B. Habeeb H. |
| author_sort | Kadirgama K. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The aim of this study is to develop the surface roughness prediction models, with the aid of statistical methods, for hastelloy C-22HS when machined by PVD and CVD coated carbide cutting tools under various cutting conditions. These prediction models were then compared with the results obtained experimentally. By using response surface method (RSM), first order models were developed with 95 % confidence level. The surface roughness models were developed in terms of cutting speed, feed rate and axial depth using RSM as a tool of design of experiment. In general, the results obtained from the mathematical models were in good agreement with those obtained from the machining experiments. It was found that the feed rate, cutting speed and axial depth played a major role in determining the surface roughness. On the other hand, the surface roughness increases with a reduction in cutting speed. PVD coated cutting tool performs better than CVD when machining hastelloy C-22HS. It was observed that most of the chips from the PVD cutting tool were in the form of discontinuous chip while CVD cutting tool produced continuous chips. |
| format | Conference paper |
| id | my.uniten.dspace-29792 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Korean Society of Mechanical Engineers |
| record_format | dspace |
| spelling | my.uniten.dspace-297922023-12-28T16:57:41Z Statistical model to determine surface roughness when milling hastelloy C-22HS Kadirgama K. Abou-El-Hossein K.A. Mohammad B. Habeeb H. 12761486500 8367728100 35801233900 18041935600 CVD Milling PVD Response surface method Surface roughness The aim of this study is to develop the surface roughness prediction models, with the aid of statistical methods, for hastelloy C-22HS when machined by PVD and CVD coated carbide cutting tools under various cutting conditions. These prediction models were then compared with the results obtained experimentally. By using response surface method (RSM), first order models were developed with 95 % confidence level. The surface roughness models were developed in terms of cutting speed, feed rate and axial depth using RSM as a tool of design of experiment. In general, the results obtained from the mathematical models were in good agreement with those obtained from the machining experiments. It was found that the feed rate, cutting speed and axial depth played a major role in determining the surface roughness. On the other hand, the surface roughness increases with a reduction in cutting speed. PVD coated cutting tool performs better than CVD when machining hastelloy C-22HS. It was observed that most of the chips from the PVD cutting tool were in the form of discontinuous chip while CVD cutting tool produced continuous chips. Final 2023-12-28T08:57:41Z 2023-12-28T08:57:41Z 2007 Conference paper 10.1007/BF03177389 2-s2.0-35348932837 https://www.scopus.com/inward/record.uri?eid=2-s2.0-35348932837&doi=10.1007%2fBF03177389&partnerID=40&md5=37e16dc43fa569f2cc1281db6fc52bf1 https://irepository.uniten.edu.my/handle/123456789/29792 21 10 1651 1655 Korean Society of Mechanical Engineers Scopus |
| spellingShingle | CVD Milling PVD Response surface method Surface roughness Kadirgama K. Abou-El-Hossein K.A. Mohammad B. Habeeb H. Statistical model to determine surface roughness when milling hastelloy C-22HS |
| title | Statistical model to determine surface roughness when milling hastelloy C-22HS |
| title_full | Statistical model to determine surface roughness when milling hastelloy C-22HS |
| title_fullStr | Statistical model to determine surface roughness when milling hastelloy C-22HS |
| title_full_unstemmed | Statistical model to determine surface roughness when milling hastelloy C-22HS |
| title_short | Statistical model to determine surface roughness when milling hastelloy C-22HS |
| title_sort | statistical model to determine surface roughness when milling hastelloy c-22hs |
| topic | CVD Milling PVD Response surface method Surface roughness |
| url_provider | http://dspace.uniten.edu.my/ |