Pareto design of fluidized bed dryers

Krokida, MK; Kiranoudis, CT

dc.contributor.author	Krokida, MK	en
dc.contributor.author	Kiranoudis, CT	en
dc.date.accessioned	2014-03-01T01:15:46Z
dc.date.available	2014-03-01T01:15:46Z
dc.date.issued	2000	en
dc.identifier.issn	1385-8947	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13730
dc.subject	Pareto design	en
dc.subject	fluidized bed dryers	en
dc.subject	multiobjective optimization	en
dc.subject	mathematical modeling	en
dc.subject.classification	Engineering, Chemical	en
dc.subject.other	CONVECTIVE INDUSTRIAL DRYERS	en
dc.subject.other	HEAT	en
dc.subject.other	VEGETABLES	en
dc.subject.other	SIMULATION	en
dc.subject.other	FOODS	en
dc.title	Pareto design of fluidized bed dryers	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S1385-8947(00)00140-6	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S1385-8947(00)00140-6	en
heal.language	English	en
heal.publicationDate	2000	en
heal.abstract	Most of the research efforts in the field of fluidized dryer design, focus on the evaluation of the appropriate structural and operational process variables so that total annual plant cost involved is optimized. However, the increasing need for dehydrated products of the highest quality, imposes the development of new criteria that, together with cost components, determine the design rules for any drying process. Quality of dehydrated products is a complex resultant of properties characterizing the final products, where the most important one is color. Color is represented by three parameters: redness, yellowness and lightness. These three parameters of a dried product should deviate from that of its original material as little as possible. In this case, fluidized bed dryer design is a complex multi-objective optimization problem, involving the color deviation and the unit cost of final product as an objective vector and as constraints described in process models. The mathematical model of the dryer was developed and the fundamental color deterioration laws and critical financial parameters were determined for the fluidized bed drying process. In this paper, non-preference multi-criteria optimization methods were used and the Pareto-optimal set of efficient solutions was evaluated. An example for drying of sliced potato was studied in detail to demonstrate the design procedure, the process performance as well as the effectiveness of the proposed approach. (C) 2000 Elsevier Science S.A. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE SA	en
heal.journalName	CHEMICAL ENGINEERING JOURNAL	en
dc.identifier.doi	10.1016/S1385-8947(00)00140-6	en
dc.identifier.isi	ISI:000088891600001	en
dc.identifier.volume	79	en
dc.identifier.issue	1	en
dc.identifier.spage	1	en
dc.identifier.epage	12	en