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dc.date.accessioned2023-10-23T08:48:44Z
dc.date.available2023-10-23T08:48:44Z
dc.date.issued2023-09-27
dc.identifierdoi:10.17170/kobra-202310238894
dc.identifier.urihttp://hdl.handle.net/123456789/15119
dc.description.sponsorshipGefördert durch den Publikationsfonds der Universität Kassel
dc.language.isoeng
dc.rightsNamensnennung 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectenergy modelingeng
dc.subjectdensityeng
dc.subjectthermal conductivityeng
dc.subjectthermal diffusivityeng
dc.subjectspecific heat capacityeng
dc.subjectregression modelseng
dc.subjectmultivariateeng
dc.subject.ddc333
dc.titleDetermination and Modeling of Proximate and Thermal Properties of De-Watered Cassava Mash (Manihot esculenta Crantz) and Gari (Gelatinized cassava mash) Traditionally Processed (In Situ) in Togoeng
dc.typeAufsatz
dcterms.abstractThe roasting process of Gari (Gelatinized cassava mash), a shelf-stable cassava product, is energy-intensive. Due to a lack of information on thermal characteristics and scarcity/rising energy costs, heat and mass transfer calculations are essential to optimizing the traditional gari procedure. The objective of this study was to determine the proximate, density, and thermal properties of traditionally processed de-watered cassava mash and gari at initial and final processing temperatures and moisture contents (MCwb). The density and thermal properties were determined using proximate composition-based predictive empirical models. The cassava mash had thermal conductivity, density, specific heat capacity, and diffusivity of 0.34 to 0.35 W m−1 ◦C−1, 1207.72 to 1223.09 kg m−3, 2849.95 to 2883.17 J kg−1 ◦C, and 9.62 × 10−8 to 9.76 × 10−8 m2 s−1, respectively, at fermentation temperatures and MCwb of 34.82 to 35.89 ◦C and 47.81 to 49%, respectively. The thermal conductivity, density, specific heat capacity and diffusivity of gari, ranged from 0.27 to 0.31 W m−1 ◦C−1, 1490.07 to 1511.11 kg m−3, 1827.71 to 1882.61 J kg−1 ◦C and 9.64 × 10−8 to 1.15 × 10−8 m2 s−1, respectively. Correlation of all the parameters was achieved, and the regression models developed showed good correlation to the published models developed based on measuring techniques.eng
dcterms.accessRightsopen access
dcterms.creatorMwape, Chikonkolo Mwewa
dcterms.creatorParmar, Aditya
dcterms.creatorRoman, Franz
dcterms.creatorAzouma, Yaovi Ouézou
dcterms.creatorEmmambux, Naushad Mohammad
dcterms.creatorHensel, Oliver
dc.relation.doidoi:10.3390/en16196836
dc.subject.swdEnergieger
dc.subject.swdModellierungger
dc.subject.swdWärmeleitfähigkeitger
dc.subject.swdRegressionsmodellger
dc.subject.swdDichteger
dc.type.versionpublishedVersion
dcterms.source.identifiereissn:1996-1073
dcterms.source.issueIssue 16
dcterms.source.journalEnergieseng
dcterms.source.volumeVolume 16ger
kup.iskupfalse
dcterms.source.articlenumber6836


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