Identification of instabilities of the chip formation and it's prediction model during end milling of medium carbon steel (S45C)

Problem statement: Chip shape and size varied widely in machining operations. Undesirable chip formation had a detrimental effect on surface finish, work-piece accuracy, chatter and tool life. Approach: This study included the findings of an experimental study on the instabilities of the chip forma...

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Main Authors: Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Faris, Waleed Fekry
Format: Article
Language:English
Published: Science Publications 2010
Subjects:
Online Access:http://irep.iium.edu.my/29593/
http://irep.iium.edu.my/29593/1/chip_formation.pdf
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author Patwari, Muhammed Anayet Ullah
Amin, A. K. M. Nurul
Faris, Waleed Fekry
author_facet Patwari, Muhammed Anayet Ullah
Amin, A. K. M. Nurul
Faris, Waleed Fekry
author_sort Patwari, Muhammed Anayet Ullah
building IIUM Repository
collection Online Access
description Problem statement: Chip shape and size varied widely in machining operations. Undesirable chip formation had a detrimental effect on surface finish, work-piece accuracy, chatter and tool life. Approach: This study included the findings of an experimental study on the instabilities of the chip formation and development of a mathematical model based on statistical approach for the prediction of the instability of chip formation during the machining of medium carbon steel (S45C). Results: It has been identified that the chip formation process has a discrete nature, associated with the periodic shearing process of the chip. Typical instabilities of periodic nature, in the form of primary and secondary saw/serrated teeth, which appear at the main body and free edge of the chip respectively, have been identified. Mechanisms of formation of these teeth have been studied and the frequencies of their formation have been determined under various machining conditions. Small Central composite design was employed in developing the chip serration frequency model in relation to primary cutting parameters by Response Surface Methodology (RSM). Conclusion/Recommendations: The mathematical model for the chip serration frequency has been developed, in terms input cutting parameters (cutting speed, feed and depth of cut) in end milling of S45C steel using TiN inserts under full immersion. The adequacy of the predictive model was verified using ANOVA at 95% confidence level.
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spelling iium-295932013-06-25T07:27:03Z http://irep.iium.edu.my/29593/ Identification of instabilities of the chip formation and it's prediction model during end milling of medium carbon steel (S45C) Patwari, Muhammed Anayet Ullah Amin, A. K. M. Nurul Faris, Waleed Fekry TS200 Metal manufactures. Metalworking Problem statement: Chip shape and size varied widely in machining operations. Undesirable chip formation had a detrimental effect on surface finish, work-piece accuracy, chatter and tool life. Approach: This study included the findings of an experimental study on the instabilities of the chip formation and development of a mathematical model based on statistical approach for the prediction of the instability of chip formation during the machining of medium carbon steel (S45C). Results: It has been identified that the chip formation process has a discrete nature, associated with the periodic shearing process of the chip. Typical instabilities of periodic nature, in the form of primary and secondary saw/serrated teeth, which appear at the main body and free edge of the chip respectively, have been identified. Mechanisms of formation of these teeth have been studied and the frequencies of their formation have been determined under various machining conditions. Small Central composite design was employed in developing the chip serration frequency model in relation to primary cutting parameters by Response Surface Methodology (RSM). Conclusion/Recommendations: The mathematical model for the chip serration frequency has been developed, in terms input cutting parameters (cutting speed, feed and depth of cut) in end milling of S45C steel using TiN inserts under full immersion. The adequacy of the predictive model was verified using ANOVA at 95% confidence level. Science Publications 2010 Article PeerReviewed application/pdf en http://irep.iium.edu.my/29593/1/chip_formation.pdf Patwari, Muhammed Anayet Ullah and Amin, A. K. M. Nurul and Faris, Waleed Fekry (2010) Identification of instabilities of the chip formation and it's prediction model during end milling of medium carbon steel (S45C). American Journal of Applied Sciences , 3 (1). pp. 193-200. ISSN 1554-3641(O), 1546-9239 (P) http://thescipub.com/abstract/10.3844/ajeassp.2010.193.200 10.3844/ajeassp.2010.193.200
spellingShingle TS200 Metal manufactures. Metalworking
Patwari, Muhammed Anayet Ullah
Amin, A. K. M. Nurul
Faris, Waleed Fekry
Identification of instabilities of the chip formation and it's prediction model during end milling of medium carbon steel (S45C)
title Identification of instabilities of the chip formation and it's prediction model during end milling of medium carbon steel (S45C)
title_full Identification of instabilities of the chip formation and it's prediction model during end milling of medium carbon steel (S45C)
title_fullStr Identification of instabilities of the chip formation and it's prediction model during end milling of medium carbon steel (S45C)
title_full_unstemmed Identification of instabilities of the chip formation and it's prediction model during end milling of medium carbon steel (S45C)
title_short Identification of instabilities of the chip formation and it's prediction model during end milling of medium carbon steel (S45C)
title_sort identification of instabilities of the chip formation and it's prediction model during end milling of medium carbon steel (s45c)
topic TS200 Metal manufactures. Metalworking
url http://irep.iium.edu.my/29593/
http://irep.iium.edu.my/29593/
http://irep.iium.edu.my/29593/
http://irep.iium.edu.my/29593/1/chip_formation.pdf