Impact of Heat-Treated Microstructure on Milling Performance of Ti-6Al-4V Alloy

Article Preview

Abstract:

The milling of titanium alloy has been widely used in aerospace field for the advantages of high-quality and high-efficiency. In order to provide the theoretical basis of practical production through optimizing the milling parameters of titanium alloy material and improving the milling property of Ti-6Al-4V, the orthogonal design approach is adopted to analyze the milling force experiment of three typical microstructure of Ti-6Al-4V titanium alloy, utilizing the algorithm of least squares establishes the multivariate linear regression equations of the milling parameters on the main milling force and conducts the regression analysis, obtained more accurate empirical formula of milling force of Ti-6Al-4V titanium alloy under different heat treatment process. Furthermore, the significances of the regression equation and regression coefficients are testing with using MATLAB statistical software. Consequently, the optimum heat treatment processing and the optimal milling parameters are obtained through analyzing the results above.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 418-420)

Pages:

1175-1179

Citation:

Online since:

December 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhang, D.S., etc. Application Tutorial of Mechanical Engineering Material, M. Machinery Industry Press. Beijing. 2001:211~216.In Chinese.

Google Scholar

[2] Pang, L.J., Shang, X.F.. JINSHU QIEXUE YUANLI, M. National Defense Industry Press. 2009: 41~45.In Chinese.

Google Scholar

[3] Zhou J.X.. Technology status, Outlook and Recommendation of Titanium and Titanium alloy material, J. Aerospace Materials Technology. 2004.(1):23~25.

Google Scholar

[4] Fopino,P.J,Bever,M.B,and Averbach,B.L,Transactions of the ASM ,1969:62,324

Google Scholar

[5] Zheng, S.H., Jiang F.H.. Experimental Design and Data Processing, M. China Building Industry Press.2004:67~86.

Google Scholar

[6] Zhang, D.F.. MATLAB Probability and Analysis of Mathematical Statistics, M. Machinery Industry Press. 2010: 299~304.

Google Scholar