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:
Online Access:http://umpir.ump.edu.my/id/eprint/1217/1/2008_P4_ENCON08_KKadrgama_M.M.Noor.pdf
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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
collection UMP
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.
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spelling UMPir12172018-01-09T05:42:31Z 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. (Published) http://dx.doi.org/10.2495/HPSM100381 DOI: 10.2495/HPSM100381
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
title 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_short Prediction Modeling of Torque in End-milling
title_sort prediction modeling of torque in end milling
topic TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/1217/1/2008_P4_ENCON08_KKadrgama_M.M.Noor.pdf
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