Simulation and optimization of sludge hygienization research irradiator

Autor:	G. Gouthaman, A. Sanyal, A.K. Mahendra
Rok vydání:	2011
Předmět:	Reduction (complexity) Recurrent neural network General Computer Science Computer simulation Artificial neural network business.industry Computation General Engineering Computational fluid dynamics Sievert integral business Process engineering Multi-objective optimization
Zdroj:	Computers & Fluids. 46:333-340
ISSN:	0045-7930
DOI:	10.1016/j.compfluid.2011.01.003
Popis:	This paper presents an approach to optimize a computational fluid dynamics problem coupled with radiation physics for sludge hygienization research irradiator. This was implemented by mapping results of computational fluid dynamics using recurrent artificial neural network with simplified dose rate evaluation using modified Sievert integral. This methodology led to considerable reduction of computation time while maintaining enough accuracy to validate the experimental results as well as suggest an optimum placement of source pencils using reference point based multi-objective optimization.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1985ab655f8057bb2c07db3cd72028cc https://doi.org/10.1016/j.compfluid.2011.01.003 Zobrazit plný text záznamu Full Text from ScienceDirect