Prediction of minimum chip thickness in tool based micro end milling
This paper presents the analysis and modelling of minimum chip thickness by tool based micro end milling with control parameter of cutting speed, feed rate, and depth of cut. The formed chip thickness was measured using scanning electron microscope The data were analyzed and an empirical model is...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Tun Husseion Onn
2012
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| Online Access: | http://irep.iium.edu.my/25565/1/IJIE_4%281%29_2012_pp_6-10%5B1%5D.pdf |
| _version_ | 1825646763491459072 |
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| author | Ali, Mohammad Yeakub Khan, Ahsan Ali Mohamad Asharaf, Asfana Banu Abdul Wahab, Adibah |
| author_facet | Ali, Mohammad Yeakub Khan, Ahsan Ali Mohamad Asharaf, Asfana Banu Abdul Wahab, Adibah |
| author_sort | Ali, Mohammad Yeakub |
| collection | IIUM |
| description | This paper presents the analysis and modelling of minimum chip thickness by tool based micro end
milling with control parameter of cutting speed, feed rate, and depth of cut. The formed chip thickness was
measured using scanning electron microscope The data were analyzed and an empirical model is developed. The
optimum value for the minimum chip thickness was 375 nm with cutting speed of 2275 rpm, feed rate of 2.6
mm/min, and depth of cut 0.6 μm using Ø 0.8 mm tool. The analysis revealed that the depth of cut is the most
influential parameter on the minimum chip thickness. The investigation was performed on poly methyl
methacrylate (PMMA) using integrated multi-process micro machine tools DT 110. The minimum chip thickness
is found to be important to avoid tool breakage, deterioration of surface finish and to increase the tool life. |
| first_indexed | 2024-03-05T23:07:26Z |
| format | Article |
| id | oai:generic.eprints.org:25565 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-13T18:57:24Z |
| publishDate | 2012 |
| publisher | Penerbit Universiti Tun Husseion Onn |
| record_format | dspace |
| spelling | oai:generic.eprints.org:255652012-08-28T00:49:38Z http://irep.iium.edu.my/25565/ Prediction of minimum chip thickness in tool based micro end milling Ali, Mohammad Yeakub Khan, Ahsan Ali Mohamad Asharaf, Asfana Banu Abdul Wahab, Adibah TS200 Metal manufactures. Metalworking This paper presents the analysis and modelling of minimum chip thickness by tool based micro end milling with control parameter of cutting speed, feed rate, and depth of cut. The formed chip thickness was measured using scanning electron microscope The data were analyzed and an empirical model is developed. The optimum value for the minimum chip thickness was 375 nm with cutting speed of 2275 rpm, feed rate of 2.6 mm/min, and depth of cut 0.6 μm using Ø 0.8 mm tool. The analysis revealed that the depth of cut is the most influential parameter on the minimum chip thickness. The investigation was performed on poly methyl methacrylate (PMMA) using integrated multi-process micro machine tools DT 110. The minimum chip thickness is found to be important to avoid tool breakage, deterioration of surface finish and to increase the tool life. Penerbit Universiti Tun Husseion Onn 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/25565/1/IJIE_4%281%29_2012_pp_6-10%5B1%5D.pdf Ali, Mohammad Yeakub and Khan, Ahsan Ali and Mohamad Asharaf, Asfana Banu and Abdul Wahab, Adibah (2012) Prediction of minimum chip thickness in tool based micro end milling. International Journal of Integrated Engineering, 4 (1). pp. 6-10. ISSN 2229-838X http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/147 |
| spellingShingle | TS200 Metal manufactures. Metalworking Ali, Mohammad Yeakub Khan, Ahsan Ali Mohamad Asharaf, Asfana Banu Abdul Wahab, Adibah Prediction of minimum chip thickness in tool based micro end milling |
| title | Prediction of minimum chip thickness in tool based micro
end milling |
| title_full | Prediction of minimum chip thickness in tool based micro
end milling |
| title_fullStr | Prediction of minimum chip thickness in tool based micro
end milling |
| title_full_unstemmed | Prediction of minimum chip thickness in tool based micro
end milling |
| title_short | Prediction of minimum chip thickness in tool based micro
end milling |
| title_sort | prediction of minimum chip thickness in tool based micro end milling |
| topic | TS200 Metal manufactures. Metalworking |
| url | http://irep.iium.edu.my/25565/1/IJIE_4%281%29_2012_pp_6-10%5B1%5D.pdf |
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