Research Status Quo of Simulation Design Methods for Ceramic Tool Materials

Abstract:

The employment of ceramic material simulation design methods can eliminate the disadvantage of traditional ceramic material developing methods of being time-consuming, laborious and high cost. Three simulation methods of artificial neural network, regression analysis and pattern recognition, and their application to ceramic material simulation design were presented in this paper. The problems existing in ceramic material simulation were proposed finally.

• Periodical: Materials Science Forum (Volumes 471-472)
• Pages: 401-404
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.471-472.401
• Online since: December 2004
• Authors: Li Qiang Xu, Chuan Zhen Huang, Sui Lian Wang, Han Lian Liu
• Keywords: Artificial Neural Network (ANN), Ceramic Material, Pattern Recognition, Regression Analysis, Simulation

References

[1] H.S. Rao and A. Mukherjee: Computational Material Science Vol. 5 (1996), p.307.

[2] N. Fan, Z. H. Gao, and X. Ai: Journal of Ceramics Vol. 23 (2002), p.178.

[3] L. Zhang, C. Z. Huang and L. He: Materials for Mechanical Engineering Vol. 26 (2002), p.7.

[4] J.Q. Yan and S.G. Shan: Journal of Ceramic Society Vol. 3 (1999), p.56.

[5] C. H. Xu: Design, Simulation and Application of Composite Ceramic Tool Materials (Ph. D Thesis, Shandong University of Technology, China 1998).

[6] N. Fan and X. Ai: Journal of Jinan University Vol. 16 (2002), p.112.

[7] W.T. Niu and Y.S. Xu: Diamond & Abrasives Engineering Vol. 24 (2003), p.24.

[8] Z.G. Shen and Y.H. Zhang: Mechanical Science and Technology Vol. 20 (2001), p.442.

[9] C.H. Zang and X.P. Guo: Technology of the Instrument and Sensor Vol. 2 (2001), p.26.

[10] L. Xiao and D.W. He: Journal of Shanxi Medical University Vol. 33 (2002), p.228.

[11] Q. Dong, Q. Tang and W.C. Li: Computers and Applied Chemistry Vol. 18 (2001), p.97.

[12] Q. Dong, M.X. Jiang and Q. Tang: Chinese Journal of Rare Metals Vol. 24 (2000), p.241.