Prediction Modelling Of Power And Torque In End-Milling

This paper presents the development of mathematical models for torque and power in milling 618 stainless steel using coated carbides cutting tool. Response surface method was use to predict the effect of power and torque in the end-milling. From the model, the relationship between the manufacturing...

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Main Authors:	K., Kadirgama, M. M., Noor, M. M., Rahman, R. A., Bakar, M. S. M., Sani
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/1450/ http://umpir.ump.edu.my/id/eprint/1450/2/2009_P_OPTI09_KKadirgama_M.M.Noor-conference-done-.pdf

id	ump-1450
recordtype	eprints
spelling	ump-14502018-01-22T07:19:46Z http://umpir.ump.edu.my/id/eprint/1450/ Prediction Modelling Of Power And Torque In End-Milling K., Kadirgama M. M., Noor M. M., Rahman R. A., Bakar M. S. M., Sani TJ Mechanical engineering and machinery This paper presents the development of mathematical models for torque and power in milling 618 stainless steel using coated carbides cutting tool. Response surface method was use to predict the effect of power and 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 responses such as torque and power can be developed. Beside the relationship, the effect of the factors can be investigated from the equation developed. It can seen that the torque increases with decreases of cutting speed while increase of the feed rate, axial depth and radial depth. The acquired results also shown that the power increases with the increases of cutting speed, feed rate, axial depth and radial depth .It can be found that the second order is more accurate based on the variance analysis and the predicted value is closely match with the experimental result. Third- and fourth- order model generated for both response to investigate the 3- and 4-way interaction between the factors. The third and fourth order model shows that 3- and 4-way interaction found less significant for the variables. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1450/2/2009_P_OPTI09_KKadirgama_M.M.Noor-conference-done-.pdf K., Kadirgama and M. M., Noor and M. M., Rahman and R. A., Bakar and M. S. M., Sani (2009) Prediction Modelling Of Power And Torque In End-Milling. In: 11th International Conference on Optimum Design of Structures and Materials in Engineering, OPTI09, 8 – 10 June 2009 , Algarve, Portugal. . (Unpublished)
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 M. S. M., Sani Prediction Modelling Of Power And Torque In End-Milling
description	This paper presents the development of mathematical models for torque and power in milling 618 stainless steel using coated carbides cutting tool. Response surface method was use to predict the effect of power and 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 responses such as torque and power can be developed. Beside the relationship, the effect of the factors can be investigated from the equation developed. It can seen that the torque increases with decreases of cutting speed while increase of the feed rate, axial depth and radial depth. The acquired results also shown that the power increases with the increases of cutting speed, feed rate, axial depth and radial depth .It can be found that the second order is more accurate based on the variance analysis and the predicted value is closely match with the experimental result. Third- and fourth- order model generated for both response to investigate the 3- and 4-way interaction between the factors. The third and fourth order model shows that 3- and 4-way interaction found less significant for the variables.
format	Conference or Workshop Item
author	K., Kadirgama M. M., Noor M. M., Rahman R. A., Bakar M. S. M., Sani
author_facet	K., Kadirgama M. M., Noor M. M., Rahman R. A., Bakar M. S. M., Sani
author_sort	K., Kadirgama
title	Prediction Modelling Of Power And Torque In End-Milling
title_short	Prediction Modelling Of Power And Torque In End-Milling
title_full	Prediction Modelling Of Power And Torque In End-Milling
title_fullStr	Prediction Modelling Of Power And Torque In End-Milling
title_full_unstemmed	Prediction Modelling Of Power And Torque In End-Milling
title_sort	prediction modelling of power and torque in end-milling
publishDate	2009
url	http://umpir.ump.edu.my/id/eprint/1450/ http://umpir.ump.edu.my/id/eprint/1450/2/2009_P_OPTI09_KKadirgama_M.M.Noor-conference-done-.pdf
first_indexed	2023-09-18T21:54:36Z
last_indexed	2023-09-18T21:54:36Z
_version_	1777413994593648640

Prediction Modelling Of Power And Torque In End-Milling

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