An approximate method of calculating the kinetics of the drying process

Luikov, A.V.; Sheiman, V. A.; Kuts, P. S.; Slobodkin, L. S.

doi:10.1007/bf00832362

Cited by 7 publications

(3 citation statements)

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“…However, to use these solutions, the values for the transport coefficients must be known. As the coefficients of moisture and heat transfer vary with time, the associated system of governing differential equations is non-linear and difficult to solve [7]. Based upon the works available in the literature [2,5], the following basic assumptions are necessary for successful modelling of various processes occurring inside the dryer:…”

Section: Basic Analysis and Modelling Assumptionsmentioning

confidence: 99%

Modelling and experimentation for the fabric-drying process in domestic dryers

Yadav

Moon

2008

Applied Energy

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Section: Basic Analysis and Modelling Assumptionsmentioning

confidence: 99%

Modelling and experimentation for the fabric-drying process in domestic dryers

Yadav

Moon

2008

Applied Energy

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“…coefficient is necessary to solve the difference equation. As the heat transfer coefficient and mass transfer coefficient vary with time, the difference equation representing the drying process is nonlinear, so it is difficult to solve the difference equation [16]. In order to simulate the drying process in a CD with the mathematical model, the following simplified assumptions were made in the discrete time and space on the basis of the existing literature [12,17]:…”

Section: Introductionmentioning

confidence: 99%

Simulation and Experimental Study on Drying Process of the Household Gas Clothes Dryer

Huang

Zhao

Liu

2019

Mathematical Problems in Engineering

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is paper analyzed the drying process of the household gas clothes dryer (GCD) based on the principle of heat and mass transfer. e drying models in three scenarios were established: natural gas burned in combustion chamber, ambient air mixed with exhausted gas in hot gas duct, and clothes were dried in the drying drum. e simulation of the drying process was performed on MATLAB software. And the effectiveness of the drying model was verified by comparison with experiment results. e effects of gas flow rate, dry mass of clothes, ambient temperature, ambient humidity, textile type, and moisture extraction rate (MER) on the performance of dryers were studied. is paper provided a theoretical basis for the design and optimization of GCDs. It was found that the drying time of the gas clothes dryer was mostly affected by the gas flow and dry mass of clothes, and the specific moisture extraction rate (SMER) was mostly affected by the ambient temperature and relative humidity. e nylon clothes have the fastest MER and the smallest SMER. Moreover, reducing operating time in falling-rate drying period can improve energy efficiency.

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“…The estimation of influence of flow vibrations of a heat-carrier on the process of convective drying shows that dehumidification of a surface of damp materials is limited not only by a convective component of the process (gas dynamics of the process) and total amount of thermal energy, participating in the process, but also by conditions of the supply of the heat-carrier flow, particular in thermal vibrations [7][8][9].…”

Section: Introductionmentioning

confidence: 99%