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Journal articles on the topic 'Deep bed drying model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Liu, Zhe, Zidan Wu, Xiaomeng Wang, Jia Song, and Wenfu Wu. "Numerical Simulation and Experimental Study of Deep Bed Corn Drying Based on Water Potential." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/539846.

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The concept and the model of water potential, which were widely used in agricultural field, have been proved to be beneficial in the application of vacuum drying model and have provided a new way to explore the grain drying model since being introduced to grain drying and storage fields. Aiming to overcome the shortcomings of traditional deep bed drying model, for instance, the application range of this method is narrow and such method does not apply to systems of which pressure would be an influential factor such as vacuum drying system in a way combining with water potential drying model. Th

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2

Doder, Djordjije, and Damir Djakovic. "Modeling of intermittent convective drying of walnuts in single layer and its influence on deep bed drying simulation." Thermal Science 23, no. 6 Part A (2019): 3687–99. http://dx.doi.org/10.2298/tsci190120272d.

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This research concerns the convective intermittent drying of in-shell walnuts, as well as the comparison between intermittent and continuous regimes. The collected data from the continuous drying experiment served as the basis for the modeling of intermittent drying, where the kinetic semi-theoretical model was implemented. Mathematical model for the intermittent drying precedes the computer simulation and experimental procedure for a single layer. As the validity of the proposed model is confirmed, deep fixed bed drying simulation was included as well. Intermittent drying regimes with shorter

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3

Mai, Zhi Wei, Bi Ying Wang, and Chang You Li. "Analytic Study on On-Line Model of Moisture in Hot Air Drying Process of Grain." Applied Mechanics and Materials 872 (October 2017): 360–72. http://dx.doi.org/10.4028/www.scientific.net/amm.872.360.

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This study aims to review variation pattern of moisture content ratio of grains in deep-bed drying process, guide the drying technology design, realize real-time tracking and regulation in drying process, improve the quality of drying process and reduce energy consumption. Based on the moisture diffusion model in thin layer drying process, the principle of mass conservation of deep drying process, state function and irreversible thermodynamics analytic method, we have established and solved basic equations of deep-bed drying of grains, obtained the moisture content ratio of grains and analysis

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4

Manuel, Luther John, Joanne Foliente, Mengke Lu, and Kevin Yaptenco. "Evaluation of a Simulation Model for Deep-Bed Drying of Hybrid Rice Seeds." Philippine Journal of Agricultural and Biosystems Engineering 19, no. 1 (2023): 17–33. http://dx.doi.org/10.48196/019.01.2023.02.

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This study evaluates a simulation model for drying hybrid rice seeds in deep-bed set-up. This model is based on a heterogeneous diffusion model for predicting grain moisture at different levels on a deep-bed drying set-up was developed. To evaluate this, hybrid rice seeds were dried in a laboratory dryer with a 50-cm depth test cell. Three drying setups (45°C, 55°C, and stepwise) were used. During drying, moisture content was measured at different levels of the cell and at specified time intervals. Around four months after storage, germination percentage of samples from different drying settin

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5

Kavindi, M. A. R., K. S. P. Amaratunga, E. M. A. C. Ekanayake, A. J. Fernando, and A. M. S. K. Abesinghe. "CFD Simulation of Airflow Distribution in a Heat Pump-Assisted Deep-Bed Paddy Dryer." Applied Engineering in Agriculture 38, no. 1 (2022): 1–8. http://dx.doi.org/10.13031/aea.14483.

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HighlightsUneven drying is an inevitable drawback when using heat pump-based deep-bed dryers in commercial drying industries.Understanding the drying behavior of the heat pump-based deep-bed dryers is important to optimize the drying technology.COMSOL Multiphysics is a very helpful tool as it can be used to predict the drying behavior.Abstract. Heat pump dryers are widely used in drying agricultural products because of its capability in drying products at comparatively lower temperatures in commercial scale. However, deep-bed heat pump drying (HPD) leads to uneven drying because of its poor ai

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6

Zare, D., D. S. Jayas, and C. B. Singh. "A Generalized Dimensionless Model for Deep Bed Drying of Paddy." Drying Technology 30, no. 1 (2012): 44–51. http://dx.doi.org/10.1080/07373937.2011.615429.

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7

Sodha, M. S., and Ashvini Kumar. "A mathematical model for A deep-bed grain drying system." International Journal of Energy Research 11, no. 1 (1987): 95–111. http://dx.doi.org/10.1002/er.4440110109.

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8

A., D. Sagagi, and Enaburekhan J. "REVIEW OF SIMULATION STUDIES FOR GRAIN DRYING IN DIRECT SUN AND SOLAR DRYERS." Continental J. Engineering Sciences 1 (July 22, 2007): 27–35. https://doi.org/10.5281/zenodo.833563.

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This paper reviews the theoretical models of physical processes in a drying system and their suitability for modeling the drying system. Detail discussion on the relationships and data required in the simulation models were also presented.

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9

Zare, Dariush, and Guangnan Chen. "Evaluation of a simulation model in predicting the drying parameters for deep-bed paddy drying." Computers and Electronics in Agriculture 68, no. 1 (2009): 78–87. http://dx.doi.org/10.1016/j.compag.2009.04.007.

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10

Dimitriadis, A. N., and C. B. Akritidis. "A Model to Simulate Chopped Alfalfa Drying in a Fixed Deep Bed." Drying Technology 22, no. 3 (2004): 479–90. http://dx.doi.org/10.1081/drt-120029994.

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11

Nurba, D., S. S. Mardjan, D. Wulandani, L. O. Nelwan, and I. D. M. Subrata. "Evaluation of airflow, temperature, and RH in the deep bed dryer for paddy grain with several combinations of floors and air distribution pipes using CFD." IOP Conference Series: Earth and Environmental Science 1386, no. 1 (2024): 012002. http://dx.doi.org/10.1088/1755-1315/1386/1/012002.

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Abstract The problem of the varying water content of the dried grain is a common problem in the drying process in the pile of grain. An uneven drying air distribution and reduced air pressure when penetrating the porosity and thickness of the grain pile cause that condition. A deep bed dryer is one of the dryers with a forced convection system to carry water content from the grain pile; the thickness of the pile and grain porosity strongly affect this process. The arrangement of the air distribution pipe in a pile of grain is an effort to facilitate air drying so that it is spread evenly in a

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12

Dubey, O. P., and T. L. Pryor. "A user oriented simulation model for deep bed solar drying of rough rice." Renewable Energy 9, no. 1-4 (1996): 695–99. http://dx.doi.org/10.1016/0960-1481(96)88380-7.

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13

Aregba, A. W., P. Sebastian, and J. P. Nadeau. "Stationary deep-bed drying: A comparative study between a logarithmic model and a non-equilibrium model." Journal of Food Engineering 77, no. 1 (2006): 27–40. http://dx.doi.org/10.1016/j.jfoodeng.2005.06.020.

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14

A. Noomhorm and Lalit R. Verma. "Deep-Bed Rice Drying Simulation Using Two Generalized Single-Layer Models." Transactions of the ASAE 29, no. 5 (1986): 1456–61. http://dx.doi.org/10.13031/2013.30337.

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15

Prakash, Bhagwati, Sangeeta Mukhopadhyay, and Terry J. Siebenmorgen. "Mathematical Modeling of a Cross-Flow Rice Dryer." Transactions of the ASABE 60, no. 3 (2017): 999–1009. http://dx.doi.org/10.13031/trans.12155.

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Abstract. Cross-flow dryers are the most popular industrial-scale rice dryers used in the U.S., yet few mathematical models have been developed and rigorously validated for such dryers. In addition, the glass transition states of rice kernels have never been predicted using a deep-bed drying model. In this study, a mathematical model was developed that describes the distribution of grain and air properties throughout a cross-flow dryer column. The model was validated by performing experiments in a lab dryer that was fabricated to simulate cross-flow drying. The model predictions of grain and a

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16

Naghavi, Z., A. Moheb, and S. Ziaei-rad. "Numerical simulation of rough rice drying in a deep-bed dryer using non-equilibrium model." Energy Conversion and Management 51, no. 2 (2010): 258–64. http://dx.doi.org/10.1016/j.enconman.2009.09.019.

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17

Beigi, Mohsen, Mehdi Torki-Harchegani, and Mahmood Mahmoodi-Eshkaftaki. "Prediction of paddy drying kinetics: A comparative study between mathematical and artificial neural network modelling." Chemical Industry and Chemical Engineering Quarterly 23, no. 2 (2017): 251–58. http://dx.doi.org/10.2298/ciceq160524039b.

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The present study aimed at investigation of deep bed drying of rough rice kernels at various thin layers at different drying air temperatures and flow rates. A comparative study was performed between mathematical thin layer models and artificial neural networks to estimate the drying curves of rough rice. The suitability of nine mathematical models in simulating the drying kinetics was examined and the Midilli model was determined as the best approach for describing drying curves. Different feed forward-back propagation artificial neural networks were examined to predict the moisture content v

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18

Prakash, Bhagwati, and Terry J. Siebenmorgen. "Mathematical Modeling of a Cross-Flow Rice Dryer with Grain Inverters." Transactions of the ASABE 61, no. 5 (2018): 1757–65. http://dx.doi.org/10.13031/trans.12927.

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Abstract. Industrial-scale cross-flow dryers are commonly equipped with grain inverters to improve the uniformity of drying across the column thickness. While a few mathematical models have been reported that include the operation of grain inverters, such models were rarely validated with experiments comprising grain inversions. In this study, a mathematical model was developed to evaluate the impact of grain inverters on the uniformity of grain moisture content (MC) across the column in cross-flow dryers. To improve the accuracy of model predictions, the impact of using two thin-layer drying

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19

ElGamal, Ramadan A., Sameh S. Kishk, and Gamal M. ElMasry. "Validation of CFD models for the deep-bed drying of rice using thermal imaging." Biosystems Engineering 161 (September 2017): 135–44. http://dx.doi.org/10.1016/j.biosystemseng.2017.06.018.

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20

Aregba, A. W., and J. P. Nadeau. "Comparison of two non-equilibrium models for static grain deep-bed drying by numerical simulations." Journal of Food Engineering 78, no. 4 (2007): 1174–87. http://dx.doi.org/10.1016/j.jfoodeng.2005.12.030.

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21

Casimiro, Maria Helena, Luís M. Ferreira, Pedro M. P. Santos, et al. "Chitosan-Based Membranes for Skin Wound Repair in a Dorsal Fold Chamber Rat Model." Pharmaceutics 14, no. 12 (2022): 2736. http://dx.doi.org/10.3390/pharmaceutics14122736.

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Frequently, deep partial and full-thickness skin wounds do not spontaneously regenerate. To restore the normal function of skin, epidermal and dermal components have to be supplied to the wound bed by grafting various substrates. Available options are limited and frequently costly. Herein, authors present a possible approach using 3D skin scaffolds capable of mimicking structure and biological functions of the extracellular matrix, providing, in parallel, a good environment for cell attachment, proliferation and differentiation. Low-molecular weight chitosan-based membranes were prepared by fr

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22

Koop, Laís, Loyse Tussolini, Fernando Augusto Pedersen Voll, and Everton Fernando Zanoelo. "A Dynamic Two-Dimensional Model for Deep-Bed Drying of Mate Leaves (Ilex paraguariensis) in a Single-Pass/Single-Zone Conveyor-Belt Dryer." Drying Technology 33, no. 2 (2014): 185–93. http://dx.doi.org/10.1080/07373937.2014.943236.

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23

Giner, S. A., and R. H. Mascheroni. "Cross-Flow Drying of Wheat. A Simulation Program with a Diffusion-Based Deep-Bed Model and a Kinetic Equation for Viability Loss Estimations." Drying Technology 14, no. 7-8 (1996): 1625–71. http://dx.doi.org/10.1080/07373939608917166.

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24

Giner, S. A., R. H. Mascheroni, and M. E. Nellist. "Cross-Flow Drying of Wheat: A Simulation Program with A Diffusion-Based Deep-Bed Model and A Kinetic Equation for Viability Loss Estimation." Drying Technology 14, no. 10 (1996): 2255–92. http://dx.doi.org/10.1080/07373939608917206.

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25

Srivastava, V. K., and J. John. "Deep bed grain drying modeling." Energy Conversion and Management 43, no. 13 (2002): 1689–708. http://dx.doi.org/10.1016/s0196-8904(01)00095-4.

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26

Ma, Xing Zao, Chang You Li, Li Li Zhang, and Wen Hao Shen. "Experimental Research on Deep-Bed Drying Characteristics of Maize." Advanced Materials Research 308-310 (August 2011): 1586–89. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.1586.

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In this paper, the deep-bed drying rate was analyzed under different bed depths and air temperatures. It was found that the bed depth had a greater impact on the drying efficiency, and if the initial moisture content of maize and the ventilation temperature are higher, the effect would be much more notable. The results will provide a basis for optimal design of the deep-bed drying devices.

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27

Morimoto, S., K. Toyoda, R. Takeuchi, and H. Kojima. "Modelling of deep-bed grain drying." IFAC Proceedings Volumes 24, no. 11 (1991): 183–88. http://dx.doi.org/10.1016/b978-0-08-041273-3.50037-9.

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28

Techaena, O., A. M. Lebert, and J. J. Bimbenet. "SIMULATION OF PLUM DRYING IN DEEP BED." Drying Technology 9, no. 4 (1991): 947–71. http://dx.doi.org/10.1080/07373939108916729.

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29

López, A., M. T. Piqué, and A. Romero. "SIMULATION OF DEEP BED DRYING OF HAZELNUTS." Drying Technology 16, no. 3-5 (1998): 651–65. http://dx.doi.org/10.1080/07373939808917428.

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30

García-Pérez, J. V., J. A. Carcel, M. A. García-Alvarado, and A. Mulet. "Simulation of grape stalk deep-bed drying." Journal of Food Engineering 90, no. 2 (2009): 308–14. http://dx.doi.org/10.1016/j.jfoodeng.2008.07.002.

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31

Techasena, O., A. Lebert, and J. J. Bimbenet. "Simulation of deep bed drying of carrots." Journal of Food Engineering 16, no. 4 (1992): 267–81. http://dx.doi.org/10.1016/0260-8774(92)90003-o.

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32

Zhang, Ye, Chang You Li, Zhi Wei Mai, Feng Ying Xu, and Li Xu. "Research on the Physical Characteristics in Maize Deep-Bed Drying Process." Advanced Materials Research 314-316 (August 2011): 1478–82. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.1478.

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In order to investigate the static pressure loss of the maize deep-bed drying related to the ratio of air flux to grain mass, the experiments based on the theory of thermal engineering and deep-bed drying were engaged in. These experiments conducted on the ventilation test stand indicate the relationship between static pressure loss, depth of the bed, ventilative dimensions and the ratio of air flux to grain mass. The investigation results that during the drying, the static pressure loss increases related to the increased ratio of air flux to grain mass with the constant bed depth. The good li

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33

Hu, Qing-guo, Min Zhang, Arun S. Mujumdar, Gong-nian Xiao, and Jin-cai Sun. "Performance Evaluation of Vacuum Microwave Drying of Edamame in Deep-Bed Drying." Drying Technology 25, no. 4 (2007): 731–36. http://dx.doi.org/10.1080/07373930701291199.

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34

Cenkowski, S., D. S. Jayas, and S. Pabis. "Deep-Bed Grain Drying - A Review of Particular Theories." Drying Technology 11, no. 7 (1993): 1553–82. http://dx.doi.org/10.1080/07373939308916919.

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35

Kribs, John D., and Graig A. Spolek. "Drying Energy Conservation for Deep-Bed Barley-Malt Kilns." Journal of Agricultural Engineering Research 68, no. 4 (1997): 367–73. http://dx.doi.org/10.1006/jaer.1997.0213.

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36

Groenewold, H., and E. Tsotsas. "A NEW MODEL FOR FLUID BED DRYING." Drying Technology 15, no. 6-8 (1997): 1687–98. http://dx.doi.org/10.1080/07373939708917318.

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37

Nasution, I. S., R. Agustina, and M. A. Fauza. "Deep bed drying performance on paddy using hybrid infrared-solar dryer." IOP Conference Series: Earth and Environmental Science 951, no. 1 (2022): 012101. http://dx.doi.org/10.1088/1755-1315/951/1/012101.

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Abstract Hybrid infrared-solar dryer has a potential for drying fruits, vegetables, and grains such as paddy. This study aims to assess the performance of hybrid infrared-solar dryer on paddy in different of deep layer. Three different infrared heaters were used with a power of 25 W, 50 W, and 100 W. The hybrid infrared-solar dryer equipped with sensors placed in an open space so that sunlight can reach the drying chamber. The paddy samples were dried in different of deep layer (2 cm, 4 cm, 6 cm) until it reaches a moisture content of 14%. The input sensors in the drying chamber such as temper

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38

Xu, Ying Ying, Yue Ding Yuan, Yue Jin Yuan, Xin An Dang, and Xiang Dong Liu. "Numerical and Experimental Pore Network Study on Slowly Isothermal Drying of Real Porous Media." Advanced Materials Research 538-541 (June 2012): 538–41. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.538.

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Taking the sand bed as the simulated object, a pore network model for drying of real porous media is developed by applying the invasion percolation theory and transport process principle, which fused the physical parameters of sand bed, such as porosity, pore mean diameter, pore size distribution, into the model parameters. The experiment and simulation results indicated that this model could explain the drying process of sand bed well. The throat size distribution has a great effect on the drying process.

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39

Yao, Bi Qiang, and Xue Jun Zhu. "Drying Model of Paste Materials in Fluidized Bed with Inert Particles and Immersed Heating Tubes." Advanced Materials Research 412 (November 2011): 463–68. http://dx.doi.org/10.4028/www.scientific.net/amr.412.463.

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The mechanism of drying paste materials was investigated in a fluidized bed with inert particles and inner heats. A mathematical model is proposed to predict the specific water evaporation. The drying properties of dryer can be predicted based on the correlation equations. The drying of paste CaCO3materials was industrial-mode experimentally carried out in a fluidized bed with inert particles and immersed heating tubes. The paste material was spray droplet in sizes range of 200~400μm with pressure nozzles or air-blast nozzles, and spray to the surface of inert particles, and the feasible dryin

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40

Dzisi, A. K., and J. Wirth. "CASSAVA DRYING IN A WOOD-FIRED DEEP-BED CROP DRYER." Acta Horticulturae, no. 380 (November 1994): 283–86. http://dx.doi.org/10.17660/actahortic.1994.380.44.

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41

CENKOWSKI, STEFAN, WILLIAM E. MUIR, and DIOVIR S. JAYAS. "SIMULATION of CANOLA and BARLEY DRYING IN A DEEP BED." Journal of Food Process Engineering 12, no. 3 (1990): 171–90. http://dx.doi.org/10.1111/j.1745-4530.1990.tb00049.x.

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42

Ranjbaran, Mohsen, Bagher Emadi, and Dariush Zare. "CFD Simulation of Deep-Bed Paddy Drying Process and Performance." Drying Technology 32, no. 8 (2014): 919–34. http://dx.doi.org/10.1080/07373937.2013.875561.

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43

Gaikwad, Mr Jeevan. "Study on Performance of Solar Dryer with Thermal Storage and Desiccant." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 338–43. http://dx.doi.org/10.22214/ijraset.2021.34814.

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This paper presents experimentation on model developed to compare the performance of solar drying with and without dehumidification system. Basic components of system consist of flat plate solar collector, drying chamber, desiccant bed and blower to maintain forced air circulation inside the system. Humidity of fresh air supplied to collector reduced by passing it through two stationary desiccant beds, which work alternately for adsorption and regeneration. Exhaust heat used for regeneration thereby overall efficiency of system increased. Drying rate obtained from solar drying with desiccant b

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44

Motevali, Ali, Reza Amiri Chayjan, Kamran Salari, and Ahmad Taghizadeh. "Studying the Effect of Different Drying Bed on Drying Characteristic of Mint Leaves." Chemical Product and Process Modeling 11, no. 3 (2016): 231–39. http://dx.doi.org/10.1515/cppm-2015-0045.

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Abstract Mint leaves are aromatic, almost exclusively perennial, rarely annual, herbs. Drying of mint leaves guarantees a longer shelf time while preserving its quality for use in pharmaceutical and food industries. In this study, the drying behavior of Mint leaves in a fluidized bed dryer (FBD) under different drying conditions (fixed, semi-fluidized and fluidized) and 4 temperature levels (30, 40, 50 and 60 °C) was investigated. The experimental data was assessed using semi-theoretical and experimental models. Finally, Page’s model was selected as the best model based on its R2, χ2 and RMSE

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45

Venkatasami, M., P. Rajkumar, M. Balakrishnan, C. Indu Rani, D. Amirtham, and A. Lakshmanan. "The Drying kinetics of Cissus quadrangularis dried in a Fluidized bed dryer." Journal of Applied and Natural Science 15, no. 3 (2023): 1237–44. http://dx.doi.org/10.31018/jans.v15i3.4850.

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Cissus quadrangularis is an extensively utilized medicinal plant in India which has numerous health benefits. Hence, the drying kinetics of Cissus was studied using fluidized bed dryer to identify suitable drying conditions and to understand moisture removal and its connection to process variables. The present research aimed to determine a suitable drying model of fluidized bed drying of Cissus quadrangularis Linn., determine the effective moisture diffusivity of the drying process and the activation energy, and investigate the effects of temperatures on the drying kinetics of Cissus. The dryi

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46

Zagoruyko, M. G., I. A. Bashmakov, and K. A. Stepanov. "Plant Waste Drying in an Isothermal Model." Agricultural Machinery and Technologies 17, no. 4 (2023): 49–54. http://dx.doi.org/10.22314/2073-7599-2023-17-4-49-54.

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The paper highlights advantages of using furnaces for processing vegetable waste, including the absence of condensation, minimal ash production, stable coolant temperature, and efficient heat exchange. To improve this machine and intensify the drying process, it is necessary to gather data on the heat and mass transfer characteristics during high-temperature drying of moisture-laden particles. Due to the inherent challenges of studying the drying process in a real furnace, the experiment was conducted using an isothermal (cold) model under laboratory conditions closely resembling real-world pr

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47

Su, Weijie, Xiang Cao, and Zilong Deng. "Experimental and Theoretical Analysis of the Thermostatic Drying Process in Wetted Porous Sand Beds with Different Pore Sizes." Processes 12, no. 2 (2024): 337. http://dx.doi.org/10.3390/pr12020337.

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The drying kinetics of porous media are crucial for controlling the drying process, which is a vital component in many processes. A mathematical model of the drying process in a granular bed was developed using Whitaker’s model, and its accuracy was verified through experimental results. The results indicated that the three stages of porous media drying are closely linked to the heat flow to the media and the latent heat of evaporation required by the liquid water inside it. Moreover, as the influence of gravity weakens and the capillary force strengthens, specifically due to the gradual decre

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48

Amira, Touil, Gritli Souhir, and Taieb Ahmed. "Mathematical Modeling of Batch Fluidized Bed Drying of Alumina." American Journal of Mechanics and Applications 12, no. 1 (2025): 11–21. https://doi.org/10.11648/j.ajma.20251201.12.

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Fluidized bed drying is an efficient and widely used method for drying wet powders and granular products. To optimize this drying process, several approaches for modeling, including empirical, semi-empirical, or more complex computational fluid dynamics models are used. This work aims to simulate batch fluidized bed drying processes of alumina using the multi-phase model equation. Firstly, a thermodynamic characterization of alumina was carried out using the static gravimetric method to determine sorption isotherms, enthalpy and entropy. Than, drying kinetics at different operating conditions

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49

ANYAKORA, Nkolika Victoria, C. S. Ajinomoh, A. S. Ahmed, et al. "Modelling Of Sludge Drying Parameters in a Paved Drying Bed." International Journal of Engineering and Computer Science 11, no. 03 (2022): 25515–22. http://dx.doi.org/10.18535/ijecs/v11i03.4664.

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Contemporary studies on the use of paved drying bed (PDB) indicate a decline in knowledge and technology-gap on the performance of this infrastructure. In consequence therefore, environmental pollution arising from untreated sludge is on the increase, especially in developing countries. In this work, model equation was developed with the existing data from field experiment using Polymath 5.1 software. The process parameters considered were temperature, relative humidity, wind speed, sun intensity and drying rate. The multiple linear regression results showed that wind speed optimised the respo

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50

Meas, Pyseth, Anthony Henry John Paterson, Donald J. Cleland, et al. "Relating Rice Grain Quality to Conditions during Sun Drying." International Journal of Food Engineering 9, no. 4 (2013): 385–91. http://dx.doi.org/10.1515/ijfe-2013-0019.

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AbstractRice grain conditions within the sun-drying bed predicted by a mathematical model during drying were used to relate drying parameters to the head rice yield (HRY) which is the key rice quality metric. A number of parameters were derived to characterise the mechanisms of grain fissures and breakage postulated in the literature, and the model was used to estimate these parameters. These parameters were then regressed against the HRY experimental data to determine the contributing mechanisms. An increase in bed temperature, the maximum temperature at the top of the bed, the size of the mo

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