Modelling and simulation of heat exchange and moisture content in a cereal storage silo

Hammami, Faten; Mabrouk, Salah Ben; Mami, Abdelkader

doi:10.1080/13873954.2016.1157823

Cited by 21 publications

(17 citation statements)

References 19 publications

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“…Although the influence of this moisture class is not addressed during the drying process, the mass transfer regulates the transition of this within the several moisture-binding kinds in the grain and the surroundings [29]. During the drying process of grain, the air-grain mass transfer is described by a mass kinetic equation [30]. The reduction of the grain moisture content to a safe storage level involves mass transfer processes of which kinetics are defined in several studies based on the mass of the grain before and after drying.…”

Section: Mass Transfermentioning

confidence: 99%

“…9. This gives the link between the air molecules in the drying system and the grain moisture migration throughout the drying process [30]. Using the Lewis law to define fluid transport in a biological material (Eq.…”

Section: Mass Transfermentioning

confidence: 99%

“…10), the sensitivity of the moisture content of the grain to time (drying rate) is calculated as illustrated in Eq. 11 [15,30,38].…”

Section: Mass Transfermentioning

confidence: 99%

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Recent Advances in the Drying Process of Grains

et al. 2023

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Grain drying is a vital operation in preparing finished grain products such as flour, drinks, confectioneries and infant food. The grain drying kinetics is governed by the heat and mass transfer process between the grain and the environment. Incomplete, improper and over-drying are crucial to the grain quality and negatively influence the acceptance of the grain by the consumers. Dried grain moisture content is a critical factor for developing grain drying systems and selecting optimal performance by researchers and the grain processing industry. Many grain drying technologies such as fluidised bed dryers, fixed bed dryers, infrared dryers, microwave dryers, vacuum dryers and freeze dryers have been used in recent years. To improve the drying process of grain, researchers have combined some drying technologies such as microwave + hot air, infrared + hot air and microwave + a fluidised bed dryer. Also, they introduce some treatments such as ultrasound dielectric and dehumidification. These methods enhance the dryer performance, such as higher moisture removal, reduced processing time, higher energy efficiency and nutrient retention. Therefore, this review focused on the drying conditions, time, energy consumption, nutrient retention and cost associated with the reduction of moisture content in grain to a suitable safe level for further processing and storage.

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Section: Mass Transfermentioning

confidence: 99%

Section: Mass Transfermentioning

confidence: 99%

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Recent Advances in the Drying Process of Grains

et al. 2023

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“…Many studies have been conducted on developing mathematical models of heat transfer for interior temperature prediction in grain storage. Researchers have been implemented one-dimensional, [13,25] two-dimensional, [24,[26][27][28][29] and three-dimensional [18,22,30] configurations. These researches provide basic principles for temperature prediction.…”

Section: Introductionmentioning

confidence: 99%

Analysis and prediction of grain temperature from air temperature to ensure the safety of grain storage

Wang

Feng

Han

et al. 2020

International Journal of Food Properties

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Food security is an influential factor for the development and future of humanity. Stored grain temperature is a key physical variable for grain quality control and management in stored-grain ecosystem. In this study, a prediction model using Fourier series based on least-squares method is introduced to describe the average temperature movement of grain pile and the daily air temperature, naming hysteresis cycle model (HCM). Then the HCM based on the Fourier analysis is proposed that incorporating with the least-squares method, the Fourier series model is applied to forecast the grain pile temperature from the daily air temperature. The HCM is built by finding relationship called conversion coefficients between the air and grain pile temperature that is constructed on the basis of Fourier analysis, and the optimal order of the model is determined by Akaike information criteria. Our method can reflect the time lag of the grain pile temperature changes with the change of air temperature and requires only a single variable (i.e. air temperature). Experiments including model fitting, temperature prediction, and results comparison for a period of 425 days from a real-world granary, yield satisfied results agreeing well with actual observation values. As a result of model validation, the proposed method has the root mean square error (RMSE) values ranging from 1.6°C to 2.3°C with average RMSE of 1.9°C. In other words, the proposed model can predict grain pile temperature with a high accuracy once an acceptable relationship between air temperature and grain pile temperature has been constructed from previously temperature data. Result analysis indicates effectiveness and workability of the proposed model for stored grain temperature prediction.

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“…Traditionally, many heat and mass transfer studies of porous media are based on the assumption of continuous media, which treat materials as isotropic. On this basis, partial differential equations are established for heat and mass transfer simulation [Abbouda and Al-Amri (2001); Jia, Sun and Cao (2001); Ali, Al and Sirelkhatim (2004); Hammami, Ben and Mami (2016)]. However, this method relies on the semi-empirical model and cannot reveal the influence of the microstructure characteristics of the material on the transmission process.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Heat and Mass Transfer in a Grain Pile on the Basis of a 2D Irregular Pore Network

Chen¹,

Huang²,

Wang³

et al. 2019

Fluid Dynamics &Amp; Materials Processing

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The so-called pore network model has great advantages in describing the process of heat and mass transfer in porous media. In order to construct a random twodimensional (2D) irregular pore network model for an unconsolidated material, image processing technology was used to extract the required topological and geometric information from a 2D sample of soybean particles, and a dedicated algorithm was elaborated to merge some adjacent small pores. Based on the extracted information, a 2D pore network model including particle information was reconstructed and verified to reflect the pore structure of discrete particles. This method was used to reconstruct a random 2D irregular pore network model of wheat. Accordingly, a multi-scale heat and mass transfer model was implemented to simulate the drying of wheat. The simulation results were consistent with the experimental results, which indicates that the reconstructed irregular pore network model can effectively simulate the real pore structure inside unconsolidated porous media. The present approach may be regarded as the foundation for establishing in the future a three-dimensional pore network model and studying the heat and mass transfer process in a grain pile.

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Modelling and simulation of heat exchange and moisture content in a cereal storage silo

Cited by 21 publications

References 19 publications

Recent Advances in the Drying Process of Grains

Recent Advances in the Drying Process of Grains

Analysis and prediction of grain temperature from air temperature to ensure the safety of grain storage

Simulation of Heat and Mass Transfer in a Grain Pile on the Basis of a 2D Irregular Pore Network

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