Surface Characteristics and Roughness Prediction of TC4 Titanium Alloy in High Speed Grinding |
| Journal |
Advanced Materials Research (Volumes 76 - 78) |
| Volume |
Advances in Abrasive Technology XII |
| 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 |
| Online since |
June, 2009 |
| Authors |
Shao Hui Yin, Kun Tang, Xiao Min Sheng, Yong Jian Zhu, Y.F. Fan |
| Keywords |
Evolutionary Neural Network, High Speed Grinding, Surface Integrity, TiAl |
| 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. |
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