标题:Optimization of the Hot Pressing Parameters of Nanocomposite Ceramic Tool and Die Materials: II . with Hybrid GA-BP Method
作者:Zhang, Jingjie; Xu, Chonghai; Yi, Mingdong; Zhang, Huifa; Wang, Xinghai
通讯作者:Zhang, J
作者机构:[Zhang, Jingjie; Xu, Chonghai; Zhang, Huifa] Shandong Inst Light Ind, Sch Mech Engn, Jinan 250353, Peoples R China.; [Xu, Chonghai] Shandong Univ, S 更多
会议名称:International Conference on Advances in Materials and Manufacturing Processes
会议日期:NOV 06-08, 2010
来源:MATERIALS PROCESSING TECHNOLOGIES, PTS 1 AND 2
出版年:2011
卷:154-155
页码:1091-1095
DOI:10.4028/www.scientific.net/AMR.154-155.1091
关键词:Ceramic tool and die material; Hot pressing parameter; Mechanical; property; Back propagation neural network; Genetic algorithm
摘要:In this paper, the two hybrid algorithms of back propagation artificial neural network and genetic algorithm were used in the optimum design of the hot pressing parameters of an advanced ZrO2/TiB2/Al2O3 nanocomposite ceramic tool and die material. Compared with the BP algorithm, the predicted results of hybrid algorithm indicated that the combination algorithm can offer a robust and efficient way for the fabrication process design of ceramic tool and die materials.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650930285&doi=10.4028%2fwww.scientific.net%2fAMR.154-155.1091&partnerID=40&md5=6db1388a2e0f71d4f4d01ac8092323c6
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