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Development of Temperature Statistical Model when Machining of Aerospace Alloy Materials

This paper presents to develop first-order models for predicting the cutting temperature for end-milling operation of Hastelloy C-22HS by using four different coated carbide cutting tools and two different cutting environments. The first-order equations of cutting temperature are developed using the...

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Main Authors: K., Kadirgama, M. M., Rahman, Bashir, Mohamed, R. A., Bakar, Ahmad Rasdan, Ismail
Format: Article
Language:English
Published: National Library of Serbia 2012
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/6855/1/Development_of_Temperature_Statistical_Model_when_Machining_of_Aerospace_Alloy_Materials.pdf
http://umpir.ump.edu.my/id/eprint/6855/
http://www.doiserbia.nb.rs/Article.aspx?ID=0354-98361200112K#.V-trBvTqWao
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spelling my.ump.umpir.68552018-01-25T03:59:26Z http://umpir.ump.edu.my/id/eprint/6855/ Development of Temperature Statistical Model when Machining of Aerospace Alloy Materials K., Kadirgama M. M., Rahman Bashir, Mohamed R. A., Bakar Ahmad Rasdan, Ismail TJ Mechanical engineering and machinery This paper presents to develop first-order models for predicting the cutting temperature for end-milling operation of Hastelloy C-22HS by using four different coated carbide cutting tools and two different cutting environments. The first-order equations of cutting temperature are developed using the response surface methodology (RSM). The cutting variables are cutting speed, feed rate, and axial depth. The analyses are carried out with the aid of the statistical software package. It can be seen that the model is suitable to predict the longitudinal component of the cutting temperature close to those readings recorded experimentally with a 95% confident level. The results obtained from the predictive models are also compared with results obtained from finite-element analysis (FEA). The developed first-order equations for the cutting temperature revealed that the feed rate is the most crucial factor, followed by axial depth and cutting speed. The PVD coated cutting tools perform better than the CVD-coated cutting tools in terms of cutting temperature. The cutting tools coated with TiAlN perform better compared with other cutting tools during the machining performance of Hastelloy C-22HS. It followed by TiN/TiCN/TiN and CVD coated with TiN/TiCN/Al2O3 and TiN/TiCN/TiN. From the finite-element analysis, the distribution of the cutting temperature can be discussed. High temperature appears in the lower sliding friction zone and at the cutting tip of the cutting tool. Maximum temperature is developed at the rake face some distance away from the tool nose, however, before the chip lift away. National Library of Serbia 2012 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6855/1/Development_of_Temperature_Statistical_Model_when_Machining_of_Aerospace_Alloy_Materials.pdf K., Kadirgama and M. M., Rahman and Bashir, Mohamed and R. A., Bakar and Ahmad Rasdan, Ismail (2012) Development of Temperature Statistical Model when Machining of Aerospace Alloy Materials. Thermal Science InternationalnScientific Journal, 18 (1). pp. 269-282. ISSN 2334-7163 http://www.doiserbia.nb.rs/Article.aspx?ID=0354-98361200112K#.V-trBvTqWao DOI: 10.2298/TSCI120203112K
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., Rahman
Bashir, Mohamed
R. A., Bakar
Ahmad Rasdan, Ismail
Development of Temperature Statistical Model when Machining of Aerospace Alloy Materials
description This paper presents to develop first-order models for predicting the cutting temperature for end-milling operation of Hastelloy C-22HS by using four different coated carbide cutting tools and two different cutting environments. The first-order equations of cutting temperature are developed using the response surface methodology (RSM). The cutting variables are cutting speed, feed rate, and axial depth. The analyses are carried out with the aid of the statistical software package. It can be seen that the model is suitable to predict the longitudinal component of the cutting temperature close to those readings recorded experimentally with a 95% confident level. The results obtained from the predictive models are also compared with results obtained from finite-element analysis (FEA). The developed first-order equations for the cutting temperature revealed that the feed rate is the most crucial factor, followed by axial depth and cutting speed. The PVD coated cutting tools perform better than the CVD-coated cutting tools in terms of cutting temperature. The cutting tools coated with TiAlN perform better compared with other cutting tools during the machining performance of Hastelloy C-22HS. It followed by TiN/TiCN/TiN and CVD coated with TiN/TiCN/Al2O3 and TiN/TiCN/TiN. From the finite-element analysis, the distribution of the cutting temperature can be discussed. High temperature appears in the lower sliding friction zone and at the cutting tip of the cutting tool. Maximum temperature is developed at the rake face some distance away from the tool nose, however, before the chip lift away.
format Article
author K., Kadirgama
M. M., Rahman
Bashir, Mohamed
R. A., Bakar
Ahmad Rasdan, Ismail
author_facet K., Kadirgama
M. M., Rahman
Bashir, Mohamed
R. A., Bakar
Ahmad Rasdan, Ismail
author_sort K., Kadirgama
title Development of Temperature Statistical Model when Machining of Aerospace Alloy Materials
title_short Development of Temperature Statistical Model when Machining of Aerospace Alloy Materials
title_full Development of Temperature Statistical Model when Machining of Aerospace Alloy Materials
title_fullStr Development of Temperature Statistical Model when Machining of Aerospace Alloy Materials
title_full_unstemmed Development of Temperature Statistical Model when Machining of Aerospace Alloy Materials
title_sort development of temperature statistical model when machining of aerospace alloy materials
publisher National Library of Serbia
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/6855/1/Development_of_Temperature_Statistical_Model_when_Machining_of_Aerospace_Alloy_Materials.pdf
http://umpir.ump.edu.my/id/eprint/6855/
http://www.doiserbia.nb.rs/Article.aspx?ID=0354-98361200112K#.V-trBvTqWao
_version_ 1643665483433508864
score 13.211869

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