Prediction Modeling of Torque in End-milling

This paper presents the development of mathematical models for torque in end-milling of AISI618 using coated carbides cutting tool. Response surface method was use to predict the effect of torque in the end-milling. From the model, the relationship between the manufacturing process factors including...

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Main Authors:	K., Kadirgama, M. M., Noor, M. R. M., Rejab, M. M., Rahman, M. S. M., Sani, R. A., Bakar, N. M. Zuki, N. M.
Format:	Article
Language:	English
Published:	WIT Press 2010
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/1217/ http://umpir.ump.edu.my/id/eprint/1217/ http://umpir.ump.edu.my/id/eprint/1217/ http://umpir.ump.edu.my/id/eprint/1217/1/2008_P4_ENCON08_KKadrgama_M.M.Noor.pdf

id	ump-1217
recordtype	eprints
spelling	ump-12172018-01-09T05:42:31Z http://umpir.ump.edu.my/id/eprint/1217/ Prediction Modeling of Torque in End-milling K., Kadirgama M. M., Noor M. R. M., Rejab M. M., Rahman M. S. M., Sani R. A., Bakar N. M. Zuki, N. M. TJ Mechanical engineering and machinery This paper presents the development of mathematical models for torque in end-milling of AISI618 using coated carbides cutting tool. Response surface method was use to predict the effect of torque in the end-milling. From the model, the relationship between the manufacturing process factors including the cutting speed, feed rate, axial depth and radial depth with the torque can be developed. The effect of the factors can be investigated from the equation developed for first order to fourth order model. The acquired results show that the torque increases with decreases of the cutting speed and increases the feed rate, axial depth and radial depth. It found that the second order is more accurate based on the analysis of variance (A&OVA) and the predicted torque results is closely match with the experimental results. Third-and fourth-order model generated for response to investigate the 3- and 4-way interaction between the factors. The third and fourth order model show that 3- and 4-way interaction found less significant for the variables. WIT Press 2010 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1217/1/2008_P4_ENCON08_KKadrgama_M.M.Noor.pdf K., Kadirgama and M. M., Noor and M. R. M., Rejab and M. M., Rahman and M. S. M., Sani and R. A., Bakar and N. M. Zuki, N. M. (2010) Prediction Modeling of Torque in End-milling. WIT Transactions on The Built Environment, 112. pp. 409-418. ISSN 1743-3509 http://dx.doi.org/10.2495/HPSM100381 DOI: 10.2495/HPSM100381
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery K., Kadirgama M. M., Noor M. R. M., Rejab M. M., Rahman M. S. M., Sani R. A., Bakar N. M. Zuki, N. M. Prediction Modeling of Torque in End-milling
description	This paper presents the development of mathematical models for torque in end-milling of AISI618 using coated carbides cutting tool. Response surface method was use to predict the effect of torque in the end-milling. From the model, the relationship between the manufacturing process factors including the cutting speed, feed rate, axial depth and radial depth with the torque can be developed. The effect of the factors can be investigated from the equation developed for first order to fourth order model. The acquired results show that the torque increases with decreases of the cutting speed and increases the feed rate, axial depth and radial depth. It found that the second order is more accurate based on the analysis of variance (A&OVA) and the predicted torque results is closely match with the experimental results. Third-and fourth-order model generated for response to investigate the 3- and 4-way interaction between the factors. The third and fourth order model show that 3- and 4-way interaction found less significant for the variables.
format	Article
author	K., Kadirgama M. M., Noor M. R. M., Rejab M. M., Rahman M. S. M., Sani R. A., Bakar N. M. Zuki, N. M.
author_facet	K., Kadirgama M. M., Noor M. R. M., Rejab M. M., Rahman M. S. M., Sani R. A., Bakar N. M. Zuki, N. M.
author_sort	K., Kadirgama
title	Prediction Modeling of Torque in End-milling
title_short	Prediction Modeling of Torque in End-milling
title_full	Prediction Modeling of Torque in End-milling
title_fullStr	Prediction Modeling of Torque in End-milling
title_full_unstemmed	Prediction Modeling of Torque in End-milling
title_sort	prediction modeling of torque in end-milling
publisher	WIT Press
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/1217/ http://umpir.ump.edu.my/id/eprint/1217/ http://umpir.ump.edu.my/id/eprint/1217/ http://umpir.ump.edu.my/id/eprint/1217/1/2008_P4_ENCON08_KKadrgama_M.M.Noor.pdf
first_indexed	2023-09-18T21:54:10Z
last_indexed	2023-09-18T21:54:10Z
_version_	1777413967285583872

Prediction Modeling of Torque in End-milling

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