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
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Online Access:http://umpir.ump.edu.my/id/eprint/1450/2/2009_P_OPTI09_KKadirgama_M.M.Noor-conference-done-.pdf
http://umpir.ump.edu.my/id/eprint/1450/
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spelling my.ump.umpir.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)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/1450/2/2009_P_OPTI09_KKadirgama_M.M.Noor-conference-done-.pdf
http://umpir.ump.edu.my/id/eprint/1450/
_version_ 1643664408223678464
score 13.214268