Optimization of Process Parameters Based on ANN When Synthesizing Nano-size Hydroxyapatite in Aqueous Solution

摘要：

The process parameters that influence the performance of synthesized nano-size hydroxyapatite powder such as purity, granularity, and crystallinity include the mass ratio between Ca(NO3)2·4H2O and (NH4)2HPO4, the PH value of reaction liquid, the temperature of sintering and the time of heat preservation. Back-propagation artificial neural network model was established to predict the performance of synsized hydroxyapatite and optimize the processing parameters. Orthogonal experiments with different process parameters are designed; experiments were carried out with every process parameter take 4 different values. The ANN model was trained using above experimental data. The optimization processing parameters to synsize nano-size hydroxyapatite were got.

关键词： hydroxyapatite nano-size process parameter optimization artificial neural network

作者: Zongwei NIU Kai SONG Zhi-Yong LI Zhong-Wen SIMA

作者单位: School of Mechanical Engineering, Shandong University of technology, Zibo 255049, China Circulation Department of Library, Shandong University of technology, Zibo 255049, China

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 258-261

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）