Optimization of the Hot Pressing Parameters of Nanocomposite Ceramic Tool and Die Materials: I. with BP Neural Network Method

Abstract:

Article Preview

In this paper, back propagation neural network was used in the optimum design of the hot pressing parameters of an advanced ZrO2/TiB2/Al2O3 nanocomposite ceramic tool and die material. The BP algorithm could set up the relationship well between the hot pressing parameters and mechanical property of nanocomposite ceramic tool and die materials. After analyzed the predicted results, the best predicted results were the sintering temperature was 1420°C and the holding time was 60min. Under these hot pressing parameters, the best flexural strength and the best fracture toughness of the material could be obtained.

Info:

Periodical:

Advanced Materials Research (Volumes 154-155)

Edited by:

Zhengyi Jiang, Xianghua Liu and Jinglong Bu

Pages:

1114-1118

DOI:

10.4028/www.scientific.net/AMR.154-155.1114

Citation:

J. J. Zhang et al., "Optimization of the Hot Pressing Parameters of Nanocomposite Ceramic Tool and Die Materials: I. with BP Neural Network Method", Advanced Materials Research, Vols. 154-155, pp. 1114-1118, 2011

Online since:

October 2010

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.