scholarly journals Mathematical Modeling and Determination of Effective Diffusivity of Mesquite during Convective Drying

2016 ◽  
Vol 07 (06) ◽  
pp. 814-823 ◽  
Author(s):  
Rennan Pereira de Gusmão ◽  
Thaisa Abrantes Souza Gusmão ◽  
Mário Eduardo Rangel ◽  
Moreira Cavalcanti-Mata ◽  
Maria Elita Martins Duarte
Keyword(s):  
Mathematical Modeling ◽  
Effective Diffusivity ◽  
Convective Drying

Determination of the drying rate and effective diffusivity coefficients during convective drying of two-phase olive mill waste at rotary dryers drying conditions for their application

2020 ◽  
Vol 153 ◽  
pp. 900-910 ◽  
Author(s):  
Francisco J. Gómez-de la Cruz ◽  
José M. Palomar-Carnicero ◽  
Quetzalcoatl Hernández-Escobedo ◽  
Fernando Cruz-Peragón
Keyword(s):  
Effective Diffusivity ◽  
Convective Drying ◽  
Drying Rate ◽  
Two Phase ◽  
Olive Mill Waste ◽  
Drying Conditions ◽  
Mill Waste ◽  
Olive Mill

Determination of parameters of short circuit of power transformer by means of mathematical modeling

2017 ◽  
Vol 26 (102) ◽  
pp. 110-119
Author(s):  
D. S. Yarymbash, ◽  
◽  
S. T. Yarymbash, ◽  
T. E. Divchuk, ◽  
D. A. Litvinov
Keyword(s):  
Mathematical Modeling ◽  
Power Transformer ◽  
Short Circuit ◽  
Determination Of Parameters

scholarly journals Estimation of moisture ratio for apple drying by convective and microwave methods using artificial neural network modeling

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Vali Rasooli Sharabiani ◽  
Mohammad Kaveh ◽  
Roozbeh Abdi ◽  
Mariusz Szymanek ◽  
Wojciech Tanaś
Keyword(s):  
Specific Energy Consumption ◽  
Effective Diffusivity ◽  
Moisture Ratio ◽  
Microwave Drying ◽  
Convective Drying ◽  
Neural Network Modeling ◽  
Drying Methods ◽  
Apple Slices ◽  
Artificial Neural ◽  
Drying Technology

AbstractTwo different drying methods were applied for dehydration of apple, i.e., convective drying (CD) and microwave drying (MD). The process of convective drying through divergent temperatures; 50, 60 and 70 °C at 1.0 m/s air velocity and three different levels of microwave power (90, 180, and 360 W) were studied. In the analysis of the performance of our approach on moisture ratio (MR) of apple slices, artificial neural networks (ANNs) was used to provide with a background for further discussion and evaluation. In order to evaluate the models mentioned in the literature, the Midilli et al. model was proper for dehydrating of apple slices in both MD and CD. The MD drying technology enhanced the drying rate when compared with CD drying significantly. Effective diffusivity (Deff) of moisture in CD drying (1.95 × 10−7–4.09 × 10−7 m2/s) was found to be lower than that observed in MD (2.94 × 10−7–8.21 × 10−7 m2/s). The activation energy (Ea) values of CD drying and MD drying were 122.28–125 kJ/mol and 14.01–15.03 W/g respectively. The MD had the lowest specific energy consumption (SEC) as compared to CD drying methods. According to ANN results, the best R2 values for prediction of MR in CD and MD were 0.9993 and 0.9991, respectively.

scholarly journals Determination of appropriate effective diffusivity for different food materials

2016 ◽  
Vol 35 (3) ◽  
pp. 335-346 ◽  
Author(s):  
M. I. H. Khan ◽  
Chandan Kumar ◽  
M. U. H. Joardder ◽  
M. A. Karim
Keyword(s):  
Effective Diffusivity

Carrying load of column poles of railway bridges that are designed according the I-st principle on permafrost ground

2021 ◽  
pp. 68-74
Author(s):  
Yaroslav Alexeevich Shvets ◽  
◽  
Alexander Yuryevich Zhuravlev ◽  
Keyword(s):  
Mathematical Modeling ◽  
Thermal Mode ◽  
Railway Bridges ◽  
Permafrost Ground

The paper presents results of development of a method for determination of carrying load of column poles of railway bridges that are based on permafrost ground and designed according the I-st principle. It also shows the necessity to use methods of mathematical modeling for determination of thermal mode of permafrost ground in the foundation of artificial constructions, which will allow forecasting the carrying load of bridge poles for any term of operation. As a result, the paper shows an algorithm for calculation and forecasting of carrying load of bridge poles at degradation of permafrost in their foundation.

scholarly journals Mathematical modeling of pequi pulp drying and effective diffusivity determination

2017 ◽  
Vol 21 (7) ◽  
pp. 493-498 ◽  
Author(s):  
Elisabete P. de Sousa ◽  
Rossana M. F. de Figueirêdo ◽  
Josivanda P. Gomes ◽  
Alexandre J. de M. Queiroz ◽  
Deise S. de Castro ◽  
...  
Keyword(s):  
Experimental Data ◽  
Effective Diffusivity ◽  
Drying Kinetics ◽  
Convective Drying ◽  
Drying Time ◽  
Air Speed ◽  
Drying Curves ◽  
Increasing Temperature ◽  
Kinetics Of ◽  
Best Fit

ABSTRACT The aim of this work was to study the drying kinetics of pequi pulp by convective drying at different conditions of temperature (50, 60, 70 and 80 °C) and thickness (0.5, 1.0 and 1.5 cm) at the air speed of 1.0 m s-1, with no addition of adjuvant. The experimental data of pequi pulp drying kinetics were used to plot drying curves and fitted to the models: Midilli, Page, Henderson & Pabis and Newton. Effective diffusivity was calculated using the Fick’s diffusion model for a flat plate. It was found that, with increasing thickness, the drying time increased and, with increasing temperature, the drying time was reduced. The Midilli model showed the best fit to the experimental data of pequi pulp drying at all temperatures and thicknesses, presenting higher coefficients of determination (R2), indicating that this model satisfactorily represents the pequi pulp drying phenomenon. There was a trend of increase in the effective diffusivity with the increase in pulp layer thickness and temperature.

scholarly journals MATHEMATICAL MODELING FOR DETERMINATION OF THE MAXIMUM MASS TRANSFER CAPACITY OF COWPEA BEANS

2020 ◽  
Vol 40 (2) ◽  
pp. 201-206
Author(s):  
Hélio C. Franco Junior ◽  
Romulo A. Morais ◽  
Warley G. da Silva ◽  
Maria O. S. Oliveira ◽  
Glêndara A. de S. Martins
Keyword(s):  
Mathematical Modeling ◽  
Mass Transfer ◽  
Maximum Mass
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