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...

Full description

Bibliographic Details
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/ http://umpir.ump.edu.my/id/eprint/6855/ http://umpir.ump.edu.my/id/eprint/6855/ http://umpir.ump.edu.my/id/eprint/6855/1/Development_of_Temperature_Statistical_Model_when_Machining_of_Aerospace_Alloy_Materials.pdf

id	ump-6855
recordtype	eprints
spelling	ump-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
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., 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/ http://umpir.ump.edu.my/id/eprint/6855/ http://umpir.ump.edu.my/id/eprint/6855/ http://umpir.ump.edu.my/id/eprint/6855/1/Development_of_Temperature_Statistical_Model_when_Machining_of_Aerospace_Alloy_Materials.pdf
first_indexed	2023-09-18T22:03:00Z
last_indexed	2023-09-18T22:03:00Z
_version_	1777414523501674496

Development of Temperature Statistical Model when Machining of Aerospace Alloy Materials

Similar Items