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HERO ID
2266574
Reference Type
Book/Book Chapter
Title
Optimization of Process Parameters Based on ANN When Synthesizing Nano-size Hydroxyapatite in Aqueous Solution
Author(s)
Niu, Z; Song, Kai; Li, ZhiY; Sima, ZWen
Year
2010
Book Title
Modelling and Simulation-World Academic Union
Volume
4
Page Numbers
258-261
Web of Science Id
WOS:000282085000056
Abstract
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(NO(3))(2)center dot 4H(2)O and (NH(4))(2)HPO(4), 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.
Keywords
hydroxyapatite; nano-size; process parameter; optimization; artificial neural network
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