Mostrar el registro sencillo del ítem

dc.rights.licenseopenen_US
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorSEBASTIAN, Patrick
IDREF: 11385692X
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorQUIRANTE, Thomas
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorHO KON TIAT, Vanessa
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorLEDOUX, Yann
IDREF: 102217890
dc.date.accessioned2022-11-28T16:27:44Z
dc.date.available2022-11-28T16:27:44Z
dc.date.issued2010-12
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/170411
dc.description.abstractEnFlash evaporation process is currently developing in the wine industry where it is used for flash-cooling or concentration. The design of flash evaporators is faced with specific constraints and must take into account multiple design objectives. In this paper, the development of a multi-objective optimization method is investigated for the joint optimization of design objectives such as process transportability, environmental efficiency, operative cost or cooling power. The optimization method is based on the aggregation of design objectives through desirability functions and indexes. Desirability functions are suitable for formulating design constraints more precisely than inequality relations and, moreover, the global design model results in an unconstrained optimization problem. However, aggregation methods do make it difficult to compute the global optimum of the design problem. This difficulty has been addressed by developing a distributed genetic algorithm which is not so sensitive to this type of numerical solving difficulty. Another difficulty arises from the weighting method for the aggregation of desirability functions since weight parameters have no physical meaning. This weighting problem is approached through a sensitivity analysis of the weight parameters and by observing their relative influence.
dc.language.isoENen_US
dc.subject.enLow-pressure evaporation
dc.subject.enFlash evaporator
dc.subject.enMulti-objective optimization
dc.subject.enDesirability function
dc.subject.enDistributed genetic algorithm
dc.title.enProcess modelling Multiobjective optimization of the design of two-stage flash evaporators : Part 2. Multi-objective optimization
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.ijthermalsci.2010.07.002en_US
dc.subject.halSciences de l'ingénieur [physics]/Matériauxen_US
bordeaux.journalInternational Journal of Thermal Sciencesen_US
bordeaux.page1-8en_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.exportfalse
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Thermal%20Sciences&rft.date=2010-12&rft.spage=1-8&rft.epage=1-8&rft.au=SEBASTIAN,%20Patrick&QUIRANTE,%20Thomas&HO%20KON%20TIAT,%20Vanessa&LEDOUX,%20Yann&rft.genre=article


Archivos en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem