Heat and mass transfer model building in drying with multiresponse data

Kiranoudis, CT; Maroulis, ZB; Marinos-Kouris, D

dc.contributor.author	Kiranoudis, CT	en
dc.contributor.author	Maroulis, ZB	en
dc.contributor.author	Marinos-Kouris, D	en
dc.date.accessioned	2014-03-01T01:11:04Z
dc.date.available	2014-03-01T01:11:04Z
dc.date.issued	1995	en
dc.identifier.issn	0017-9310	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11546
dc.subject	Confidence Region	en
dc.subject	Experimental Data	en
dc.subject	Heat and Mass Transfer	en
dc.subject	Heat Transfer	en
dc.subject	Mass Transfer	en
dc.subject	Mathematical Model	en
dc.subject	Model Building	en
dc.subject	Moisture Content	en
dc.subject	Sensitivity Analysis	en
dc.subject	Transport Phenomena	en
dc.subject.classification	Thermodynamics	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.classification	Mechanics	en
dc.subject.other	Drying	en
dc.subject.other	Heat Transfer	en
dc.subject.other	Mass Transfer	en
dc.subject.other	Diffusion	en
dc.subject.other	Heat conduction	en
dc.subject.other	Heat convection	en
dc.subject.other	Heat transfer	en
dc.subject.other	Iterative methods	en
dc.subject.other	Mass transfer	en
dc.subject.other	Mathematical models	en
dc.subject.other	Moisture	en
dc.subject.other	Probability	en
dc.subject.other	Sensitivity analysis	en
dc.subject.other	Thermal effects	en
dc.subject.other	Transport properties	en
dc.subject.other	Joint confidence regions	en
dc.subject.other	Drying	en
dc.title	Heat and mass transfer model building in drying with multiresponse data	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0017-9310(94)00166-S	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0017-9310(94)00166-S	en
heal.language	English	en
heal.publicationDate	1995	en
heal.abstract	A model building technique involving the investigation of experimental drying data that comprise responses of material moisture content and temperature is presented. It is based on an iterative procedure in which an initial process mathematical model is tested for inadequacies observed in distributions of residuals produced when predicted state variables are compared to experimental data. Model parameters are estimated by maximizing their posterior density propability distribution involving both responses simultaneously. Possible tendencies in residuals reveal inadequacies of the examined model to sufficiently describe heat and mass transfer mechanisms during drying. The significance and correlation of model parameters are studied by determining their joint confidence regions. Sensitivity analysis of model parameters related to the output state responses shows which transfer mechanism prevails in the region where tendencies are observed. This is then either suitably transformed so that lumped dependencies of model parameters are taken into consideration, or completely changed into another form that might describe transport phenomena in a more efficient way. This interative model modification is further continued until any tendency in these residuals is eliminated. The procedure adopted indicates that, in the case of vegetables, mass transfer is controlled by three mechanisms which become sequentially significant with the progress of drying: convection, followed by diffusion in the solid phase, and conversion of bound into free diffused water in the last stages of drying until equilibrium is reached. Heat transfer is controlled solely by external convection, while internal conduction remains negligible. © 1994.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	International Journal of Heat and Mass Transfer	en
dc.identifier.doi	10.1016/0017-9310(94)00166-S	en
dc.identifier.isi	ISI:A1995QE11100008	en
dc.identifier.volume	38	en
dc.identifier.issue	3	en
dc.identifier.spage	463	en
dc.identifier.epage	480	en