Paper Title:
Surface Characteristics and Roughness Prediction of TC4 Titanium Alloy in High Speed Grinding
  Abstract

This paper reports a systematic investigation of high speed grinding of hard-to-machining of titanium alloys. The ground surfaces were characterized using scanning electron microscopy, and the effects of different grinding parameters on roughness were discussed. A numerical model was established to predict surface roughness based on the evolutionary neural network optimized by Genetic Algorithm (GA). The modeled results were in good agreement with the experimental results.

  Info
Periodical
Advanced Materials Research (Volumes 76-78)
Edited by
Han Huang, Liangchi Zhang, Jun Wang, Zhengyi Jiang, Libo Zhou, Xipeng Xu and Tsunemoto Kuriyagawa
Pages
49-54
DOI
10.4028/www.scientific.net/AMR.76-78.49
Citation
S. H. Yin, K. Tang, X. M. Sheng, Y. J. Zhu, Y.F. Fan, "Surface Characteristics and Roughness Prediction of TC4 Titanium Alloy in High Speed Grinding", Advanced Materials Research, Vols. 76-78, pp. 49-54, 2009
Online since
June 2009
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