Numerical simulation of the moisture diffusion in copra drying process

2016 ◽  
Author(s):  
A.R.L. Mendis ◽  
A.D.U.S. Amarasinghe ◽  
M. Narayana
Keyword(s):  
Numerical Simulation ◽  
Moisture Diffusion ◽  
Drying Process

scholarly journals Estimation of the Biot Number Using Genetic Algorithms: Application for the Drying Process

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2822 ◽  
Author(s):  
Krzysztof Górnicki ◽  
Radosław Winiczenko ◽  
Agnieszka Kaleta
Keyword(s):  
Mass Transfer ◽  
Biot Number ◽  
Moisture Diffusion ◽  
Absolute Error ◽  
Heat Fluxes ◽  
Coefficient Of Determination ◽  
Drying Process ◽  
Transfer Coefficients ◽  
Heat Transfer Coefficients ◽  
Multi Objective Genetic Algorithm

The Biot number informs researchers about the controlling mechanisms employed for heat or mass transfer during the considered process. The mass transfer coefficients (and heat transfer coefficients) are usually determined experimentally based on direct measurements of mass (heat) fluxes or correlation equations. This paper presents the method of Biot number estimation. For estimation of the Biot number in the drying process, the multi-objective genetic algorithm (MOGA) was developed. The simultaneous minimization of mean absolute error (MAE) and root mean square error (RMSE) and the maximization of the coefficient of determination R2 between the drying model and experimental data were considered. The Biot number can be calculated from the following equations: Bi = 0.8193exp(-6.4951T−1) (and moisture diffusion coefficient from D/s2 = 0.00704exp(-2.54T−1)) (RMSE = 0.0672, MAE = 0.0535, R2 = 0.98) or Bi = 1/0.1746log(1193847T) (D/s2 = 0.0075exp(-6T−1)) (RMSE = 0.0757, MAE = 0.0604, R2 = 0.98). The conducted validation gave good results.

Numerical and Experimental Fractal Pore Network Study on Drying of Porous Media: Numerical Simulation

2012 ◽  
Vol 557-559 ◽  
pp. 2167-2170
Author(s):  
Yue Jin Yuan ◽  
Yue Ding Yuan ◽  
Ying Ying Xu ◽  
Ji Xian Dong ◽  
Xiang Dong Liu
Keyword(s):  
Heat Transfer ◽  
Numerical Simulation ◽  
Porous Media ◽  
Pore Network ◽  
Pore Network Model ◽  
Drying Process ◽  
Drying Time ◽  
State Heat ◽  
Steady State Heat Transfer ◽  
Drying Curve

In order to validate the model established in reference [1], a drying experimental study was conducted, and numerical simulation was carried out under the same environmental condition. The experiment and simulation results indicated that the fractal pore network model could explain the drying process of real porous media effectively, the drying curve of fractal models was more consistent with the real drying curve than that of regular models, and its moisture fields well reflected the drying kinetics characteristic of real porous media. There was no correlation between the pore fractal dimension and the drying time, and the simulation result of unsteady-state heat transfer was more consistent with a real drying process than that of steady-state heat transfer for the convective thermal drying.

A Numerical Simulation on the Fluid Flow and Heat Transfer Around a Vehicle in a Paint Drying Process

2013 ◽  
Author(s):  
Jongrak Choi ◽  
Nahmkeon Hur ◽  
Hee-Soo Kim
Keyword(s):  
Heat Transfer ◽  
Numerical Simulation ◽  
Fluid Flow ◽  
Moving Boundary ◽  
Numerical Results ◽  
Operating Conditions ◽  
Drying Process ◽  
Automotive Manufacturing ◽  
Flow And Heat Transfer ◽  
Paint Drying

In the automotive manufacturing process, the paint drying process is very important to improve the appearance of the vehicle. In the present study, the fluid flow and heat transfer around a vehicle were numerically investigated for the purpose of predicting the drying performance of the paint drying process. In order to simulate the operating conditions of the paint drying process, the following techniques were used: relative moving boundary conditions, multiple reference frames, and conjugated heat transfer. The present numerical method was verified by comparing the numerical results of the temperature at several monitoring points on a vehicle, while using the experimental data. To evaluate the drying performance quantitatively, the absorbed heat energy that is closely related to the drying of paint was obtained from the numerical simulation. It was found that the drying performance is greatly affected by operating conditions such as the temperature and flow rate of blowing air. To improve the drying performance, the operating conditions of the paint drying process were optimized using the numerical results of various operating conditions.

scholarly journals Mass and Heat Transport Models for Analysis of the Drying Process in Porous Media: A Review and Numerical Implementation

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Hong Thai Vu ◽  
Evangelos Tsotsas
Keyword(s):  
Numerical Simulation ◽  
Porous Media ◽  
Heat Transport ◽  
Diffusion Theory ◽  
System Of Equations ◽  
Numerical Implementation ◽  
Drying Process ◽  
Transport Models ◽  
Moisture Migration ◽  
Drying Models

The modeling and numerical simulation of drying in porous media is discussed in this work by revisiting the different models of moisture migration during the drying process of porous media as well as their restrictions and applications. Among the models and theories, we consider those are ranging from simple ones like the diffusion theory to more complex ones like the receding front theory, the model of Philip and de Vries, Luikov’s theory, Krischer’s theory, and finally Whitaker’s model, in which all mass, heat transport, and phase change (evaporation) are taken into account. The review of drying models as such serves as the basis for the development of a framework for numerical simulation. In order to demonstrate this, the system of equations governing the drying process in porous media resulting from Whitaker’s model is presented and used in our numerical implementation. A numerical simulation of drying is presented and discussed to show the capability of the implementation.

scholarly journals Development of Nonlinear Analytical Models for the Study of Heat/Mass Transfer Properties in the Drying of Porous Type Fabric

2012 ◽  
Vol 326-328 ◽  
pp. 593-598
Author(s):  
Ralph W.L. Ip ◽  
Elvis Iok Cheong Wan
Keyword(s):  
Heat Transfer ◽  
Mass Transfer ◽  
Moisture Diffusion ◽  
Analytical Models ◽  
Model Parameters ◽  
Drying Process ◽  
Drying Characteristics ◽  
Experimental Findings ◽  
Transfer Properties ◽  
Describe Heat Transfer

Designing a drying process for porous type fabrics using traditional linear heat transfer models may be inefficiency because the drying characteristics in the process are usually nonlinear. Using nonlinear approaches to describe the heat/mass flow could be better for many industrial application cases. The paper as presented here is a study for an analytical model using differential form nonlinear equations to describe heat transfer and moisture diffusion process using air as the processing medium. Experimental findings were used to evaluate the performance of the studied model. Relationships between the model parameters and fabric physical properties were determined for further used in the design of drying equipment.

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