Simultaneous Estimation of Thermophysical Properties and Heat and Mass Transfer Coefficients of a Drying Body

Kanevce, Gligor; Kanevce, Ljubica P.; Dulikravich, George S.

doi:10.1016/b978-008043951-8/50004-7

Cited by 7 publications

(7 citation statements)

References 1 publication

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“…The same authors also proposed the methodology of simultaneous estimation of thermophysical properties and heat and mass transfer coefficients of a drying body (e.g. [8][9][10]). …”

Section: Introductionmentioning

confidence: 98%

Retrieving of the initial moisture field in porous material based on temperature measurements during drying

Buliński

Nowak

Kasza

et al. 2012

Inverse Problems in Science and Engineering

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In this article, a simultaneous initial inverse problem and parameter estimation inverse problem in context of the vacuum paper drying process is presented. In this problem an evaporation constant and initial distribution of the water content are retrieved indirectly based on the temperature measurements at selected sampling points during vacuum phase of the process. As such, a problem is illposed and two different Tikhonov-type regularization techniques are proposed. The L-curve method was used to establish the value of the regularization parameter for both techniques. Results obtained with both regularization techniques are compared.

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“…The same authors also proposed the methodology of simultaneous estimation of thermophysical properties and heat and mass transfer coefficients of a drying body (e.g. [8][9][10]). …”

Section: Introductionmentioning

confidence: 98%

Retrieving of the initial moisture field in porous material based on temperature measurements during drying

Buliński

Nowak

Kasza

et al. 2012

Inverse Problems in Science and Engineering

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show abstract

“…Recently, several articles dealing with the solution of the inverse problem of coupled heat and mass transfer have appeared in the literature [2][3][4][5][6][7][8][9][10][11][12]. In these articles, both parameter and=or function estimation approaches are used in the solution of these inverse problems by using temperature and=or moisture measurements.…”

Section: Introductionmentioning

confidence: 99%

“…The extensive work of Kanevce and his co-workers [2][3][4][5][6][7] was based mainly on finding the possibilities of estimating simultaneously the moisture diffusivity, together with other thermophysical properties of vegetables, as well as the heat and mass transfer coefficients. Their method requires a single drying experiment and a single temperature measurement probe.…”

Section: Introductionmentioning

confidence: 99%

Optimal Heat Input for Estimating Luikov's Parameters in a Heat and Mass Transfer Problem

Bensefia

Boussaid

Loulou

2011

Numerical Heat Transfer, Part B: Fundamentals

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International audienceIn this article, the problem of computing an optimal heat input in Luikov's heat and mass transfer problem is detailed and analyzed. The main objective is the establishment of an optimal time-dependent heat flux profile with the goal of maximizing the temperature and moisture sensitivities of some parameters to this excitation in a drying process. Such maximization makes the estimation of the desired parameters possible, easier, and with limited uncertainty intervals. It also helps to reduce the linearity dependence between the parameters of interest and the number of temperature and moisture sensors used. The estimation of the optimal heat input is obtained with Uzawa's algorithm, while the estimation of parameters is performed with Levenberg-Marquardt's method of minimization of the ordinary least-square criterion. The six dimensionless parameters characterizing Luikov's equations are estimated successfully with this optimal heat flux profile, which also helps to reduce the number of both temperature and moisture sensors needed in the estimation procedure. By doing so, the objective of estimating simultaneously the six parameters which appear in the formulation of Luikov's physical problem is reached by using a limited transient temperature and/or moisture measurements taken anywhere in the drying medium

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“…Different methods based on such an approach have been successfully used in the past for the estimation of parameters and functions, in linear and non-linear inverse problems [3][4][5]. Recently, several articles dealing with the solution of inverse problems of coupled heat and mass transfer appeared in the literature [6][7][8][9][10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous estimation of the spacewise and timewise variations of mass and heat transfer coefficients in drying

Saker

Orlande

Huang

et al. 2006

Inverse Problems in Science and Engineering

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In this article, the conjugate gradient method with adjoint problem is applied for the identification of the heat and mass transfer coefficients at the surface of drying capillary-porous bodies. The unknown functions are supposed to vary in time and along the surface open to the surrounding environment. The inverse problem is solved by considering either the heat or the mass transfer coefficients as unknown, as well as by considering simultaneously both functions as unknown. The effects of temperature and moisture content measurements on the inverse analysis are examined. A comparison of different versions of the conjugate gradient method is also presented as applied to the inverse problem under study.

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Simultaneous Estimation of Thermophysical Properties and Heat and Mass Transfer Coefficients of a Drying Body

Cited by 7 publications

References 1 publication

Retrieving of the initial moisture field in porous material based on temperature measurements during drying

Retrieving of the initial moisture field in porous material based on temperature measurements during drying

Optimal Heat Input for Estimating Luikov's Parameters in a Heat and Mass Transfer Problem

Simultaneous estimation of the spacewise and timewise variations of mass and heat transfer coefficients in drying

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