Thin layer drying models for drying of black pepper in spouted bed dryer with internal devices

dc.contributor.authorJayatunga, GK
dc.contributor.authorMartino, SMND
dc.contributor.authorAmarasinghe, BMWPK
dc.date.accessioned2018-05-09T20:45:02Z
dc.date.available2018-05-09T20:45:02Z
dc.description.abstractDrying characteristics of black pepper in a lab scale spouted bed dryer with internal devices were investigated. Two draft tube configurations namely porous draft tube and non-porous draft tube have been used as the internal devices in the spouted bed dryer. Effect of internal devices on drying kinetics was examined. The highest drying rate was achieved when black pepper was dried in porous draft tube fitted system. Drying kinetic data obtained from experiments were fitted to six thin layer drying models available in literature namely Newton, Page, Henderson and Pabis, Two compartment, Abbasi et al. and Verma et al. models. Best model was identified by comparing the statistical parameters such as coefficient of determination, sum of square error and root mean square error between the experimental and predicted values. According to the statistical analysis, Verma et al. model and Abbasi et al. model show the best results for the drying behaviour of black pepper in spouted bed dryer with both draft tube configurations under the conditions tested.en_US
dc.identifier.conference110th Annual sessions of the Institution of Engineers, Sri Lankaen_US
dc.identifier.departmentDepartment of Chemical and Process Engineeringen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnosp. 185-193en_US
dc.identifier.proceeding110th Annual sessions transactions 2016 part B : technical papersen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/13084
dc.identifier.year2016en_US
dc.language.isoenen_US
dc.subjectSpouted bed dryeren_US
dc.subjectDraft tubeen_US
dc.subjectBlack pepperen_US
dc.subjectThin layer modelsen_US
dc.titleThin layer drying models for drying of black pepper in spouted bed dryer with internal devicesen_US
dc.typeConference-Abstracten_US

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