The paper addresses the dynamic modelling of the UNH crystal growth by means of cellular automata(CA) method for nuclear fuel reprocessing as the alternative to traditionally used extraction method. Model-based CA approach is considered to predict dependence of product's properties on input changes: uranium and nitric acid concentration, solution temperature. CA approach is preferable for crystallization process to get a high purity of reprocessed materials. C++ application is developed as a result of the research. The application allows monitoring of dynamics changes of solution temperature, uranium concentration and shape of crystals.
|Title of host publication||Chemical Engineering Transactions|
|Editors||Petar Sabev Varbanov, Jun-Yow Yong, Jiri Jaromir Klemes, Peng-Yen Liew, Hon Loong Lam|
|Publisher||AIDIC-Italian Association of Chemical Engineering|
|Number of pages||6|
|Publication status||Published - 2016|
ASJC Scopus subject areas
- Chemical Engineering(all)