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
Subjects:	TS200 Metal manufactures. Metalworking
Online Access:	http://irep.iium.edu.my/25565/ http://irep.iium.edu.my/25565/ http://irep.iium.edu.my/25565/1/IJIE_4%281%29_2012_pp_6-10%5B1%5D.pdf

id	iium-25565
recordtype	eprints
spelling	iium-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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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/ http://irep.iium.edu.my/25565/ http://irep.iium.edu.my/25565/1/IJIE_4%281%29_2012_pp_6-10%5B1%5D.pdf
first_indexed	2023-09-18T20:38:05Z
last_indexed	2023-09-18T20:38:05Z
_version_	1777409181319430144

Prediction of minimum chip thickness in tool based micro end milling

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