Title :
Optimization of process parameters based on ANN when synthesizing nano-size hydroxyapatite using Solgel method
Author :
Niu, Zongwei ; Li, Zhiyong ; Li, Li ; Hou, Rongguo
Author_Institution :
Sch. of Mech. Eng., Shandong Univ. of Technol., Zibo
Abstract :
The process parameters that influence the performance of nano-size hydroxyapatite powder such as purity, granularity, and crystallinity include the mass ratio between Ca(NO3)2middot4H2O and (NH4)2HPO4, the PH value of reaction liquid, the temperature of sintering and the time of heat preservation. Orthogonal experiments with different process parameters are designed; experiments were carried out with every process parameter take 4 different values. Membership function of four process parameters factors were established, and influence fuzzy relation matrix of them to the quality of nano-size hydroxyapatite powder was determined. The result of experiment planed in advance can be predicted using fuzzy evaluation which can enhance the quality of the nano-size hydroxyapatite powder.
Keywords :
calcium compounds; nanoparticles; nanotechnology; neural nets; optimisation; ANN; Ca10(PO4)6(OH)2; crystallinity; fuzzy relation matrix; granularity; heat preservation; mass ratio; nanosize hydroxyapatite; optimization; pH value; process parameters; purity; sintering temperature; sol-gel method; Optimization methods; artificial neural network; hydroxyapatite; nano-size; optimization; process parameter;
Conference_Titel :
Nano/Micro Engineered and Molecular Systems, 2009. NEMS 2009. 4th IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4629-2
Electronic_ISBN :
978-1-4244-4630-8
DOI :
10.1109/NEMS.2009.5068609
