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...

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Main Authors: Ali, Mohammad Yeakub, Khan, Ahsan Ali, Mohamad Asharaf, Asfana Banu, Abdul Wahab, Adibah
Format: Article
Language:English
Published: 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
http://irep.iium.edu.my/25565/
http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/147
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spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TS200 Metal manufactures. Metalworking
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
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.
format Article
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
title 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_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_sort prediction of minimum chip thickness in tool based micro end milling
publisher Penerbit Universiti Tun Husseion Onn
publishDate 2012
url http://irep.iium.edu.my/25565/1/IJIE_4%281%29_2012_pp_6-10%5B1%5D.pdf
http://irep.iium.edu.my/25565/
http://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/147
_version_ 1643608958869438464
score 13.209306