A Fuzzy Expert System for the Selection of Spray-Drying Equipment

Autor:	C. G. J. Baker, Haitham M.S. Lababidi, K. Masters
Rok vydání:	2004
Předmět:	Engineering Fuzzy expert system business.industry General Chemical Engineering Control engineering Modular design computer.software_genre Industrial engineering Fuzzy logic Expert system Product (mathematics) Spray drying Physical and Theoretical Chemistry business computer Selection algorithm Selection (genetic algorithm)
Zdroj:	Drying Technology. 22:237-258
ISSN:	1532-2300 0737-3937
DOI:	10.1081/drt-120028231
Popis:	A modular fuzzy expert system (KSpray) has been formulated to aid in the selection of spray-drying equipment for food products. KSpray can be used either as a stand-alone program or as an integral part of DrySES, the web-based selection algorithm developed at Kuwait University to screen relatively large numbers of dryer types. In its current embodiment, KSpray incorporates selection rules for six commonly used spray-dryer configurations based on the physical and chemical properties of the product. Five case studies are presented to illustrate its use. There was good agreement between the KSpray predictions and the selections made by a human expert.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cac5044a3beca35f66cb09abca34a8b2 https://doi.org/10.1081/drt-120028231 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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