Optimization of surface roughness in high speed end milling of Titanium alloy Ti-6Al-4V under dry conditions

The techniques of High Speed Machining (HSM), while still in an initial stage of wide acceptance, have already been proven in leading aircraft manufacturing plants [1]. HSM has been applied successfully to materials like magnesium and aluminum. Among the titanium alloys, Ti-6Al-4V being the most...

Full description

Bibliographic Details
Main Authors:	Amin, A. K. M. Nurul, Alam, S., -, Syedatul Akma
Format:	Book Chapter
Language:	English
Published:	IIUM Press 2011
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/23603/ http://irep.iium.edu.my/23603/ http://irep.iium.edu.my/23603/4/chp24.pdf

id	iium-23603
recordtype	eprints
spelling	iium-236032012-09-12T06:51:37Z http://irep.iium.edu.my/23603/ Optimization of surface roughness in high speed end milling of Titanium alloy Ti-6Al-4V under dry conditions Amin, A. K. M. Nurul Alam, S. -, Syedatul Akma TJ Mechanical engineering and machinery The techniques of High Speed Machining (HSM), while still in an initial stage of wide acceptance, have already been proven in leading aircraft manufacturing plants [1]. HSM has been applied successfully to materials like magnesium and aluminum. Among the titanium alloys, Ti-6Al-4V being the most commonly used and it is the workhorse alloy of the titanium industry, accounting for over 45% of the total titanium production [2]. Therefore, the efficiency of titanium machining is one of the major challenges in production engineering. Various studies have been conducted on the surface roughness in end milling of various materials using deferent cutting tools, experimental and optimization techniques. Baek et al [3] selected the optimal 187ederate using a bisection method. Peigne et al [4] studied effects of the cutting vibratory phenomena and their impacts on machined surface roughness. Franco et al [5] developed a numerical model for predicting the surface profile and surface roughness in face milling with round inserts. Alauddin et al [6] used RSM and ANOVA to optimize the surface finish in endmilling of Inconel 718. Only two cutting parameters (i.e., cutting speed and feed rate) were considered, and 13 experiments were conducted. An important parameter (depth of cut) was not considered. Choudhury et al [7] noticed that the surface finish improves with increase of the cutting speed at constant feed rate and constant depth of cut in machinability assessment of Inconel 718. Kuang-Hua Fuh and Chih-Fu Wu [8] used RSM for surface quality prediction in end milling of Al-alloy. Beside the usual cutting variables, they considered nose radius and flank width as parameters to be optimized. In this study, 3-level full factorial experimental designs of RSM were used for high speed end milling of Ti-6Al-4V. The 3-level factorial method was used to study qualitatively the 3D (three dimensional) surface morphologies/topographies for the machined surfaces of Ti-6Al-4V to determine the machining conditions that could give the best possible surface finish. Desirability function of RSM was applied to optimize the cutting parameters. IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/23603/4/chp24.pdf Amin, A. K. M. Nurul and Alam, S. and -, Syedatul Akma (2011) Optimization of surface roughness in high speed end milling of Titanium alloy Ti-6Al-4V under dry conditions. In: Advanced Machining Towards Improved Machinability of Difficult-to-Cut Materials. IIUM Press, International Islamic University Malaysia, Kuala Lumpur, Malaysia, pp. 181-187. ISBN 9789674181758 http://rms.research.iium.edu.my/bookstore/default.aspx
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Amin, A. K. M. Nurul Alam, S. -, Syedatul Akma Optimization of surface roughness in high speed end milling of Titanium alloy Ti-6Al-4V under dry conditions
description	The techniques of High Speed Machining (HSM), while still in an initial stage of wide acceptance, have already been proven in leading aircraft manufacturing plants [1]. HSM has been applied successfully to materials like magnesium and aluminum. Among the titanium alloys, Ti-6Al-4V being the most commonly used and it is the workhorse alloy of the titanium industry, accounting for over 45% of the total titanium production [2]. Therefore, the efficiency of titanium machining is one of the major challenges in production engineering. Various studies have been conducted on the surface roughness in end milling of various materials using deferent cutting tools, experimental and optimization techniques. Baek et al [3] selected the optimal 187ederate using a bisection method. Peigne et al [4] studied effects of the cutting vibratory phenomena and their impacts on machined surface roughness. Franco et al [5] developed a numerical model for predicting the surface profile and surface roughness in face milling with round inserts. Alauddin et al [6] used RSM and ANOVA to optimize the surface finish in endmilling of Inconel 718. Only two cutting parameters (i.e., cutting speed and feed rate) were considered, and 13 experiments were conducted. An important parameter (depth of cut) was not considered. Choudhury et al [7] noticed that the surface finish improves with increase of the cutting speed at constant feed rate and constant depth of cut in machinability assessment of Inconel 718. Kuang-Hua Fuh and Chih-Fu Wu [8] used RSM for surface quality prediction in end milling of Al-alloy. Beside the usual cutting variables, they considered nose radius and flank width as parameters to be optimized. In this study, 3-level full factorial experimental designs of RSM were used for high speed end milling of Ti-6Al-4V. The 3-level factorial method was used to study qualitatively the 3D (three dimensional) surface morphologies/topographies for the machined surfaces of Ti-6Al-4V to determine the machining conditions that could give the best possible surface finish. Desirability function of RSM was applied to optimize the cutting parameters.
format	Book Chapter
author	Amin, A. K. M. Nurul Alam, S. -, Syedatul Akma
author_facet	Amin, A. K. M. Nurul Alam, S. -, Syedatul Akma
author_sort	Amin, A. K. M. Nurul
title	Optimization of surface roughness in high speed end milling of Titanium alloy Ti-6Al-4V under dry conditions
title_short	Optimization of surface roughness in high speed end milling of Titanium alloy Ti-6Al-4V under dry conditions
title_full	Optimization of surface roughness in high speed end milling of Titanium alloy Ti-6Al-4V under dry conditions
title_fullStr	Optimization of surface roughness in high speed end milling of Titanium alloy Ti-6Al-4V under dry conditions
title_full_unstemmed	Optimization of surface roughness in high speed end milling of Titanium alloy Ti-6Al-4V under dry conditions
title_sort	optimization of surface roughness in high speed end milling of titanium alloy ti-6al-4v under dry conditions
publisher	IIUM Press
publishDate	2011
url	http://irep.iium.edu.my/23603/ http://irep.iium.edu.my/23603/ http://irep.iium.edu.my/23603/4/chp24.pdf
first_indexed	2023-09-18T20:35:40Z
last_indexed	2023-09-18T20:35:40Z
_version_	1777409028573364224

Optimization of surface roughness in high speed end milling of Titanium alloy Ti-6Al-4V under dry conditions

Similar Items