Investigating the Possibility to Reduce the Residual Stress Level in 2.5D Cutting Using Titanium Coated Carbide Ball End Mill

End milling is a multipoint cutting process in which material is removed from a workpiece by a rotating tool. It is widely used in cutting 2.5D profiles such as point-to-point, contouring, and pocketing operations. 2.5D machining possesses the capability to translate in all 3 axes but can perform th...

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Main Authors: N. Masmiati, H. S. Chan, Ahmed A. D. Sarhan, M. A. Hassan, M. Hamdi
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2014/485267
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author N. Masmiati
H. S. Chan
Ahmed A. D. Sarhan
M. A. Hassan
M. Hamdi
author_facet N. Masmiati
H. S. Chan
Ahmed A. D. Sarhan
M. A. Hassan
M. Hamdi
author_sort N. Masmiati
collection DOAJ
description End milling is a multipoint cutting process in which material is removed from a workpiece by a rotating tool. It is widely used in cutting 2.5D profiles such as point-to-point, contouring, and pocketing operations. 2.5D machining possesses the capability to translate in all 3 axes but can perform the cutting operation in only 2 of the 3 axes at a time. This study focuses on optimizing the cutting parameters, such as machined surface inclinationangle, axial depth of cut, spindle speed, and feed rate for better surface integrity, namely, microhardness, residual stress, and microstructure in 2.5D cutting utilizing a titanium-coated carbide ball end mill. An optimization method known as Taguchi optimization, which includes planning, conducting, and analyzing results of matrix experiments, was used in order to achieve the best cutting parameter level. Data analysis was conducted using signal-to-noise (S/N) and target performance measurement (TPM) response analysis and analysis of variance (Pareto ANOVA). The optimum condition results obtained through analysis show improvements in microhardness of about 0.7%, residual stress in the feed direction of about 18.6%, and residual stress in the cutting direction of about 15.4%.
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institution Kabale University
issn 1687-8434
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publishDate 2014-01-01
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series Advances in Materials Science and Engineering
spelling doaj-art-e189750531164f1aad92231f917fab8b2025-02-03T01:02:49ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422014-01-01201410.1155/2014/485267485267Investigating the Possibility to Reduce the Residual Stress Level in 2.5D Cutting Using Titanium Coated Carbide Ball End MillN. Masmiati0H. S. Chan1Ahmed A. D. Sarhan2M. A. Hassan3M. Hamdi4Centre of Advanced Manufacturing and Material Processing, Department of Mechanical Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaCentre of Advanced Manufacturing and Material Processing, Department of Mechanical Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaCentre of Advanced Manufacturing and Material Processing, Department of Mechanical Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaCentre of Advanced Manufacturing and Material Processing, Department of Mechanical Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaCentre of Advanced Manufacturing and Material Processing, Department of Mechanical Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaEnd milling is a multipoint cutting process in which material is removed from a workpiece by a rotating tool. It is widely used in cutting 2.5D profiles such as point-to-point, contouring, and pocketing operations. 2.5D machining possesses the capability to translate in all 3 axes but can perform the cutting operation in only 2 of the 3 axes at a time. This study focuses on optimizing the cutting parameters, such as machined surface inclinationangle, axial depth of cut, spindle speed, and feed rate for better surface integrity, namely, microhardness, residual stress, and microstructure in 2.5D cutting utilizing a titanium-coated carbide ball end mill. An optimization method known as Taguchi optimization, which includes planning, conducting, and analyzing results of matrix experiments, was used in order to achieve the best cutting parameter level. Data analysis was conducted using signal-to-noise (S/N) and target performance measurement (TPM) response analysis and analysis of variance (Pareto ANOVA). The optimum condition results obtained through analysis show improvements in microhardness of about 0.7%, residual stress in the feed direction of about 18.6%, and residual stress in the cutting direction of about 15.4%.http://dx.doi.org/10.1155/2014/485267
spellingShingle N. Masmiati
H. S. Chan
Ahmed A. D. Sarhan
M. A. Hassan
M. Hamdi
Investigating the Possibility to Reduce the Residual Stress Level in 2.5D Cutting Using Titanium Coated Carbide Ball End Mill
Advances in Materials Science and Engineering
title Investigating the Possibility to Reduce the Residual Stress Level in 2.5D Cutting Using Titanium Coated Carbide Ball End Mill
title_full Investigating the Possibility to Reduce the Residual Stress Level in 2.5D Cutting Using Titanium Coated Carbide Ball End Mill
title_fullStr Investigating the Possibility to Reduce the Residual Stress Level in 2.5D Cutting Using Titanium Coated Carbide Ball End Mill
title_full_unstemmed Investigating the Possibility to Reduce the Residual Stress Level in 2.5D Cutting Using Titanium Coated Carbide Ball End Mill
title_short Investigating the Possibility to Reduce the Residual Stress Level in 2.5D Cutting Using Titanium Coated Carbide Ball End Mill
title_sort investigating the possibility to reduce the residual stress level in 2 5d cutting using titanium coated carbide ball end mill
url http://dx.doi.org/10.1155/2014/485267
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