Study on the Surface Roughness of Titanium Alloy Machined by WEDM

Shu Guo Zhao; Rui Li; Xiao Min Yao

doi:10.4028/www.scientific.net/AMR.683.581

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 683Study on the Surface Roughness of Titanium Alloy...

Study on the Surface Roughness of Titanium Alloy Machined by WEDM

Abstract:

Due to the excellent characteristics of titanium alloy, was applied to aviation, marine, automotive, metallurgy, medical equipment and other fields. However, some of the characteristics make it machine difficultly, so the range of applications would be limited. In this paper, titanium alloy is cut by wire electrical discharge machining (WEDM) and study the surface finish. The model of surface roughness is established which is based on theoretical analysis. Experimental results were analyzed and optimized by the theory of signal-to-noise ratio and grey relational analysis (GRA) method. The minimal surface roughness is achieved by the optimal results .According to GRA, get the order that is the influence of electric parameters on the surface roughness.

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Periodical:

Advanced Materials Research (Volume 683)

Pages:

581-584

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.683.581

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Online since:

April 2013

Authors:

Shu Guo Zhao, Rui Li, Xiao Min Yao

Keywords:

GRA, Signal-to-Noise Ratio (SNR), Surface Roughness (SR), Titanium Alloy, WEDM

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References

[1] Lian Feng, Zhang Huichen. Technology and development of Ti alloy machined by EDM [J]. Modern Manufacturing Engineering, 2012 (2).

Google Scholar

[2] Zhang Yunpeng, Ren Zhonggen, Chi Entian. A Study of Machining Parameter for Machining Titanium Alloy in Precision EDM[J]. Machine tool & Hydraulics, 2007, 35(5).

Google Scholar

[3] Jia Zhenyuan, Gu Feng, Wang Fuji, et al. Parameters optimization of EDM micro-and-small holes Based on signal-to-noise ratio and gray relational grade[J] Journal of Mechanical Engineering, 2007, 43 (7).

DOI: 10.3901/jme.2007.07.063

Google Scholar

[4] Xie Zhiping, Quan Bianli. Optimization by Signal-to-noise of EDM Parameters on Machining Ti-6Al-4V[J]. Goal Mine Machinery, 2011, 32 (8).

Google Scholar

[5] Issam Hanafi, Abdellatif Khamlichi, Francisco Mata Cabrera, et. al. Optimization of cutting conditions for sustainable machining of PEEK-CF30 using TiN tools[J]. Journal of Cleaner Production, 2012(33)1~9.

DOI: 10.1016/j.jclepro.2012.05.005

Google Scholar

[6] Li Qiang, Bai Jicheng, Guo Yongfeng, et al. Optimization of Multiple Cut on HS—WEDM Based on Genetic Algorithm[J]. Electromachining & Mould, 2010 (5).

Google Scholar