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dc.rights.licenseopenen_US
dc.contributor.authorBENSALEM, Mohamed
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorSOMMIER, Alain
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorMINDEGUIA, Jean-Christophe
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorBATSALE, Jean-Christophe
dc.contributor.authorPRADERE, Christophe
dc.date.accessioned2024-02-13T10:53:43Z
dc.date.available2024-02-13T10:53:43Z
dc.date.issued2023-07
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/188085
dc.description.abstractEnThe investigation of humidity movement during drying or imbibition processes represents a serious challenge for several industries, such as the wood-based material industry and paper industry. Recently, several studies have been conducted on the efficiency contactless Terahertz technique (THz) to map the water content. In this study, this technique based on coupling infrared camera and developed Tera-Thermo-Converter, is used for the estimation of mass diffusion coefficient within hygroscopic materials initially dry. A water vapour water content excitation device is designed to excite the samples in a THz semitransparent enclosure during the monitoring. The recorded infrared films showed a pronounced mitigation of the signal over time, indicating penetration of vapour through the sample. Processing image techniques such as the four-image, algorithm and Singular Value Decomposition (SVD) and averaging are used to obtain the space-time water content map. A simplified one-dimensional model of mass transfer is proposed to estimate the diffusion coefficient using two inverse methods: a) a statistical method based on Bayesian approach, and b) a minimization method based on Levenberg-Marquardt algorithm (LM). The results showed that THz imaging technique coupled with the appropriate processing and the adequate modelling, is able not only to map the water content field but also to monitor the transient transfer and estimate the diffusion coefficient without contact. © 2023 Elsevier Ltd
dc.language.isoENen_US
dc.subject.enCondensed Matter Physics
dc.subject.enFluid Flow and Transfer Processes
dc.subject.enMechanical Engineering
dc.title.enEstimation of the diffusion coefficient of hygroscopic materials using a contactless transient THz water vapour content imaging and excitation device
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.ijheatmasstransfer.2023.124064en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.journalInternational Journal of Heat and Mass Transferen_US
bordeaux.page124064en_US
bordeaux.volume208en_US
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.institutionArts et Métiersen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
dc.rights.ccPas de Licence CCen_US
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