Fourth Order Torque Prediction Model in End Milling

This study presents the development of mathematical models for torque in end-milling of AISI 618. Response Surface Method (RSM) was used to predict the effect of torque in the end-milling. The relationship between the manufacturing process factors including the cutting speed, feed rate, axial depth...

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Main Authors:	K., Kadirgama, M. M., Noor, M. M., Rahman, R. A., Bakar
Format:	Article
Language:	English
Published:	Asian Network for Scientific Information 2009
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/1470/ http://umpir.ump.edu.my/id/eprint/1470/1/2009_J_MMK_Forth_Order_JAS_2431-2437_K.Kadirgama_M.M.Noor-Jurnal-.pdf

id	ump-1470
recordtype	eprints
spelling	ump-14702018-01-25T01:17:28Z http://umpir.ump.edu.my/id/eprint/1470/ Fourth Order Torque Prediction Model in End Milling K., Kadirgama M. M., Noor M. M., Rahman R. A., Bakar TJ Mechanical engineering and machinery This study presents the development of mathematical models for torque in end-milling of AISI 618. Response Surface Method (RSM) was used to predict the effect of torque in the end-milling. 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 (ANOVA) and the predicted torque results is closely match with the experimental results. Third- and fourth-order model generated for the response to investigate the 3 and 4-way interaction between the factors. It's found less significant for the variables. Asian Network for Scientific Information 2009 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1470/1/2009_J_MMK_Forth_Order_JAS_2431-2437_K.Kadirgama_M.M.Noor-Jurnal-.pdf K., Kadirgama and M. M., Noor and M. M., Rahman and R. A., Bakar (2009) Fourth Order Torque Prediction Model in End Milling. Journal of Applied Sciences, 9 (13). pp. 2431-2437. ISSN 1812-5654
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. M., Rahman R. A., Bakar Fourth Order Torque Prediction Model in End Milling
description	This study presents the development of mathematical models for torque in end-milling of AISI 618. Response Surface Method (RSM) was used to predict the effect of torque in the end-milling. 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 (ANOVA) and the predicted torque results is closely match with the experimental results. Third- and fourth-order model generated for the response to investigate the 3 and 4-way interaction between the factors. It's found less significant for the variables.
format	Article
author	K., Kadirgama M. M., Noor M. M., Rahman R. A., Bakar
author_facet	K., Kadirgama M. M., Noor M. M., Rahman R. A., Bakar
author_sort	K., Kadirgama
title	Fourth Order Torque Prediction Model in End Milling
title_short	Fourth Order Torque Prediction Model in End Milling
title_full	Fourth Order Torque Prediction Model in End Milling
title_fullStr	Fourth Order Torque Prediction Model in End Milling
title_full_unstemmed	Fourth Order Torque Prediction Model in End Milling
title_sort	fourth order torque prediction model in end milling
publisher	Asian Network for Scientific Information
publishDate	2009
url	http://umpir.ump.edu.my/id/eprint/1470/ http://umpir.ump.edu.my/id/eprint/1470/1/2009_J_MMK_Forth_Order_JAS_2431-2437_K.Kadirgama_M.M.Noor-Jurnal-.pdf
first_indexed	2023-09-18T21:54:38Z
last_indexed	2023-09-18T21:54:38Z
_version_	1777413996480036864

Fourth Order Torque Prediction Model in End Milling

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