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




Investigating the Possibility to Reduce the Residual Stress Level in 2.5D Cutting Using Titanium Coated Carbide Ball End Mill - Download this document for free, or read online. Document in PDF available to download.

Advances in Materials Science and Engineering - Volume 2014 2014, Article ID 485267, 13 pages -

Research Article

Centre of Advanced Manufacturing and Material Processing, Department of Mechanical Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia

Institute of Product Design and Manufacturing, Universiti Kuala Lumpur, Cheras, 56100 Kuala Lumpur, Malaysia

Department of Mechanical Engineering, Faculty of Engineering, Assiut University, Assiut 71516, Egypt

Received 2 April 2014; Accepted 6 August 2014; Published 27 August 2014

Academic Editor: Haiming Lu

Copyright © 2014 N. Masmiati et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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 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%.





Author: N. Masmiati, H. S. Chan, Ahmed A. D. Sarhan, M. A. Hassan, and M. Hamdi

Source: https://www.hindawi.com/



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