Phase diagram calculation method of thermodynamics-atomic parameters-artificial neural network  

作　　者：ZENG Wenming , ZHANG Lin and CHEN Nianyi State Key Laboratory of High Performance Ceramics and Superfine Microstructure Studies , Shanghai Institute of Ceramics , Chinese Academy of Sciences , Shanghai 200050, China  Shanghai Hongqiao Middle School, Shanghai 200335 , China  Shanghai Institute of Metallurgy , Chinese Academy of Sciences , Shanghai 200050, China 

出　　处：《Chinese Science Bulletin》1999年第9期860-861,共2页

摘　　要：A LTHOUGH the computerized prediction of phase diagrams by thermodynamic method has made great achievements, the lack of thermodynamic, data is one of the obstacles for unknown phase diagram prediction. Miedema has proposed to use atomic parameters for thermodynamic property estimation of alloy systems. Chen and co-workersL have used artificial neural network and atomic parameters to predict some thermodynamic properties, such as melting point, melting types. In this work, we presented a new method for phase diagram calculation by combining thermodynamics with atomic parameters and artificial neural network. In this method, the interaction parameters of the solutions were first computed from phase diagram of the binary systems. Then artificial neural network and atomic parameters were used to

关 键 词：thermodynamics obstacles COMPUTERIZED melting EUTECTIC TEMPER LEAVING Gibbs excess radius 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]