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Relevant bibliographies by topics / Deep bed drying model

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Academic literature on the topic 'Deep bed drying model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Deep bed drying model"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Deep bed drying model"

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Simate, Isaac Nyambe. "Mixed mode solar drying." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246686.

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Kulasiri, G. Don. "Simulation of deep-bed drying of Virginia peanuts to minimize energy use." Diss., Virginia Tech, 1990. http://hdl.handle.net/10919/39762.

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A deep-bed drying model simulating the drying of peanuts in a fixed bed is required for designing energy-efficient and automatically controlled dryers. A deep-bed drying model consists of a thin-layer drying model to calculate the moisture release from the material and a set of mass and energy balances. An experimental setup was constructed to determine drying rates of Virginia-type peanuts under 14 different drying air conditions. Selected empirical and semi-theoretical models available for modeling thin-layer drying rates were fitted to the collected data using nonlinear regression technique

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Soltani, Behdad. "Model Based Quality Prediction in Fluidised-Bed Dryers for Yeast." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21373.

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The key aims of this work were to 1) develop a numerical model that would be capable of predicting fluidised-bed dryer operating parameters (including bed temperature, air humidity, and solids moisture content), 2) find the key parameters affecting the viability of yeast, and 3) predict the viability of yeast throughout the drying process. The numerical model developed uses the reaction engineering approach to estimate the drying kinetics and has a strong physical basis with the only fitted parameters being those used for the GAB isotherm. Agreement between model predictions and experimental d

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OLIVEIRA, José Rildo de. "Desenvolvimento de um sistema de secagem para grãos, em camada fina e espessa: comparação entre modelos matemáticos de simulação para grãos de feijão-macáçar (Vigna unguiculata (L.) Walpers)." Universidade Federal de Campina Grande, 2006. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/1721.

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Submitted by Maria Medeiros (maria.dilva1@ufcg.edu.br) on 2018-09-14T12:22:51Z No. of bitstreams: 1 JOSÉ RILDO DE OLIVEIRA - TESE (PPGEP) 2006.pdf: 1131201 bytes, checksum: ba0909f714e2920247098ffc14790d7d (MD5)<br>Made available in DSpace on 2018-09-14T12:22:51Z (GMT). No. of bitstreams: 1 JOSÉ RILDO DE OLIVEIRA - TESE (PPGEP) 2006.pdf: 1131201 bytes, checksum: ba0909f714e2920247098ffc14790d7d (MD5) Previous issue date: 2006<br>Estudou-se o comportamento das propriedades físicas do feijão-macáçar ( Vigna unguiculata (l.) Walpers) - porosidade, área superficial, área específica, calor especí

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Smith, Francis Lee. "Pilot-scale Development of Trickle Bed Air Biofiltration Employing Deep Biofilms, for the Purification of Air Polluted with Biodegradable VOCs." University of Cincinnati / OhioLINK, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1034206999.

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Strouhal, Jiří. "Pokročilé výpočtové metody spalování tuhých paliv." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-403867.

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The aim of this thesis was to create a model of thermal conversion of solid fuel. This is achieved by means of standard modelling tools included in software ANSYS Fluent in combination with user-defined functions (UDF). In first part of thesis basic approaches to CFD modelling of solid fuel combustion are presented. Building of a mathematical model and corresponding algorithms follows. Individual parts of a created model and its parts are tested on simple physical cases and then on case of experimental reactor for analysing biomass combustion.

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Cheng, Ta-Sheng, and 鄭答勝. "The study on deep-bed peanut drying." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/14426289036464062092.

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碩士<br>國立中興大學<br>農業機械工程學系<br>84<br>This study is to find the optimal drying method of deep-bed peanut mechanical curing and analyze variations of moisture content using thin-layer model. The experimental results showed thata dual-temperature drying condition of 55℃-6hr-45℃, 0.7m3/ m3s air-flow rate and relative humidity lower than 2%RH to dehydrate the peanut moisture content reaching 10%(w.b.) is the best method in deep-bed peanut drying. From the result of germination test, the germinatio

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Qiu, Shi Yi, and 邱士益. "Fixed deep-bed drying of seed corn using fuzzy control." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/81619283769838046295.

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Zhang, Hao. "Suspension-Colloidal Transport in Porous Media: Basic Equations, Analytical Model and Nonlinear Physics Effects." Thesis, 2018. http://hdl.handle.net/2440/120351.

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Hereby I present a Master of philosophy thesis by publications. The thesis includes two peer-reviewed journal papers. One has been published in International Journal of Non-linear Mechanics. The other has been submitted to Transport in Porous Media and is currently under review. Flow of colloidal-suspensions and nanofluids in porous media is encountered in numerous processes of the natural subsurface environment and industrial relevant fields. The physical and chemical mechanisms of particle transport and subsequent retention are of great significance in study of current filtration theory. Thi

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(5930285), Karen N. Son. "Improved Prediction of Adsorption-Based Life Support for Deep Space Exploration." Thesis, 2019.

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<div>Adsorbent technology is widely used in many industrial applications including waste heat recovery, water purification, and atmospheric revitalization in confined habitations. Astronauts depend on adsorbent-based systems to remove metabolic carbon dioxide (CO<sub>2</sub>) from the cabin atmosphere; as NASA prepares for the journey to Mars, engineers are redesigning the adsorbent-based system for reduced weight and optimal efficiency. These efforts hinge upon the development of accurate, predictive models, as simulations are increasingly relied upon to save cost and time over the traditiona

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Book chapters on the topic "Deep bed drying model"

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Aboltins, Aivars. "Mathematical Model of Deep-Bed Grain Layer Drying by Ventilation." In Progress in Industrial Mathematics at ECMI 96. Vieweg+Teubner Verlag, 1997. http://dx.doi.org/10.1007/978-3-322-96688-9_16.

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Aregba-Driollet, D. "Mathematical Study of Static Grain Deep-Bed Drying Models." In Hyperbolic Problems: Theory, Numerics, Applications. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75712-2_26.

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Wang, Danyang, Chenghua Li, Benhua Zhang, and Ling Tong. "Exploring the Effect Rules of Paddy Drying on a Deep Fixed-Bed." In Computer and Computing Technologies in Agriculture IX. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48357-3_45.

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Wang, Danyang, Chenghua Li, Benhua Zhang, and Ling Tong. "Prediction of Drying Indices for Paddy Rice in a Deep Fixed-Bed Based on Neural Network." In Computer and Computing Technologies in Agriculture X. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06155-5_51.

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Pashkin, Vsevolod D., and Konstantin E. Lezhnev. "Coupled Model of Deep-bed-filtration and Cake Filtration in Porous Media for Gravel Pack Modelling." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37246-9_31.

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Kuzmina, Liudmila I., and Yuri V. Osipov. "Inverse Filtration Problem of a Bidisperse Suspension." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4355-1_56.

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AbstractFiltration problems of suspensions and colloids in porous media are considered when designing tunnels and underground structures. To strengthen weak soil, a liquid solution is injected into the rock, the particles of which are filtered in the pores and distributed far from the well. A deep bed filtration model of 2-particle suspension in a porous material is considered. The purpose of the work is to determine the model parameters from the measured outlet concentration of suspended particles. Using an explicit solution to the direct filtration problem on the concentration front, the inv

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Finney, Mark A., Jason M. Forthofer, Xinle Liu, et al. "Deep Learning for High-Resolution Wildfire Modeling." In Advances in Forest Fire Research 2022. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_21.

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We demonstrate the use of a deep learning (DL) approach for representing the behavior of a high-resolution physics-based wildland fire spread model. The ultimate objective is being able to efficiently use the DL model for intensive simulations of large fires while retaining fidelity to the fine-scale physical processes. We begin with a fire model that reduces the spatial domain of the fire spread problem to one dimension (1D). The 1D model explicitly resolves cm-scale fuel variations, heat transfer and heating/drying dynamics of individual fuel particles and burning behavior of the bed. We the

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"Deep-Bed and Continuous Flow Drying." In Drying and Storage of Cereal Grains. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119124207.ch7.

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Chakilam, Chaitran. "Revolutionizing emergency response and critical care management with artificial intelligence-augmented systems." In Deep Science Publishing. Deep Science Publishing, 2025. https://doi.org/10.70593/978-93-49307-36-0_7.

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This systematic literature review investigates potentialities to exploit AI-supported technologies in Chinese hospital emergency departments. Modern digital medical tools combined with artificial intelligence technologies enable rapid acquisition, gathering and analysis of extensive medical data, providing timely insights for emergency physicians to make timely treatment decisions that can improve patient outcomes. Correction of motion artefacts can be achieved in medical imaging using artificial intelligence technologies without the need for rescanning, while at the same time preserving patie

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Prabu, P., Sivakumar R., B. Ramamurthy, Mohammad S. Khan, A. Syed Haroon, and Shiju Sebastian. "Integrating Multimodal Deep Learning With CBT-ED." In Neuroscientific Insights and Therapeutic Approaches to Eating Disorders. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3230-6.ch020.

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This chapter merges traditional diagnostic frameworks with state-of-the-art technological interventions, focusing on the integration of machine learning and the internet of things (IoT) to understand and address eating disorders. It provides an overview of diagnostic frameworks, including emerging disorders like binge eating disorder (BED) and avoidant/restrictive food intake disorder (ARFID), alongside sociodemographic trends and treatment approaches, particularly cognitive-behavioral therapy for eating disorders (CBT-ED) Additionally, the chapter introduces a novel multimodal deep learning m

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Conference papers on the topic "Deep bed drying model"

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Revilla, Albert B., and Jaime Honra. "CFD simulation of drying rice paddy in a deep-bed dryer with inclined false floor." In Second International Conference on Precision Engineering and Mechanical Manufacturing (PEMM 2024), edited by Steven Y. Liang. SPIE, 2024. http://dx.doi.org/10.1117/12.3050567.

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Khosravi, M., and Sh Meery. "Finding a Solution for Designing an Optimum Cathodic Protection System for an Existing Tank Farm." In CORROSION 2012. NACE International, 2012. https://doi.org/10.5006/c2012-01444.

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Abstract Many existing small fuel tank farms still do not have not cathodic protection. New revised environment and safety standards require the operator to install cathodic protection for their system. Limited owned expensive land, neighboring metallic underground piping such as fire fighting water which can interfere with CP systems are a challenging problem in this field. Since current and potential distribution tests are not possible due to lack of permanent reference electrodes beneath the tank bottom plate and horizontal or angel drilling is not economically feasible for these small tank

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Wang, Wei, Hongying Wang, Liangju Wang, and Shaochun Ma. "Characteristic analysis of deep-bed cooling and drying of pelleted feed based on non-equilibrium model." In 2025 Toronto, Ontario, Canada July 13-16, 2025. American Society of Agricultural and Biological Engineers, 2025. https://doi.org/10.13031/aim.202500154.

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Olson, Matthew L., Stephen P. Gent, Taylor N. Suess, and Michael P. Twedt. "Creating an Application to Predict Operational Characteristics and Efficiency of Continuous Cross-Flow Corn Drying." In ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ht2013-17327.

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The purpose of this study is to create a computer simulation which numerically predicts the drying conditions within a continuous cross-flow grain drying system. The model is based on a system of four partial differential equations using energy and mass balances for the air, grain, and moisture within the column. This simulation includes: (1) a graphical user interface for varying the operating conditions, (2) a numerical scheme for solving the system of equations based on a backwards finite difference scheme, and (3) graphical and tabular output data. The output includes graphs of moisture co

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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." In The Proceedings of the 5th Asia-Pacific Drying Conference. World Scientific Publishing Company, 2007. http://dx.doi.org/10.1142/9789812771957_0071.

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LI, CHANGYOU. "AN ANAYTICAL METHOD FOR DEEP-BED VENTILATING DRYING PROCESS." In The Proceedings of the 5th Asia-Pacific Drying Conference. World Scientific Publishing Company, 2007. http://dx.doi.org/10.1142/9789812771957_0095.

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Achariyaviriya, Aree, and Paradorn Nuthong. "Effects of Drying Conditions of Fixed Bed Longan Drying on Optimal Bed Thickness." In ASME/JSME 2007 5th Joint Fluids Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/fedsm2007-37206.

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In this work, it is presented a study of the effects of drying conditions on the optimal bed thickness of the whole longan. The criteria for evaluation of the drying process are specific energy consumption and drying time which the difference of moisture between top and bottom of drying chamber is less than 10%dry basis. The mathematical model is developed for finding the effects of the drying conditions on the optimal bed thickness. The drying conditions are drying air temperature, specific air flow rate, and fraction of recycled air. Experimental data were compared with the simulated results

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Mielke, Lisa, Andreas Bück, and Evangelos Tsotsas. "Multi-zone & multi-compartment model for dynamic simulation of horizontal fluidized bed granulator." In 21st International Drying Symposium. Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/ids2018.2018.7474.

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Due to the ongoing development and implementation of process control and observation techniques in production processes of particulate products, the research on complexly designed process apparatuses has become of great interest. The work presented in this paper is focused on a model-based study on a multi-chamber horizontal fluidized bed apparatus for fluidized bed layering granulation. The model for the solid phase is extended by a new drying model. Because of the great variety of parameters that influence this complex system a preliminary model-based study on a simplified setup shall show w

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P.P.Sutar and Suresh Prasad. "Fluidized Bed Drying of Osmotically Dehydrated Onion Slices and Selection of Suitable Drying Model." In 2005 Tampa, FL July 17-20, 2005. American Society of Agricultural and Biological Engineers, 2005. http://dx.doi.org/10.13031/2013.19593.

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Kaur, Amanat, Yvan Gariépy, Valérie Orsat, and Vijaya Raghavan. "Microwave assisted fluidized bed drying of celery." In 21st International Drying Symposium. Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/ids2018.2018.7368.

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The drying kinetics of celery in a microwave assisted fluidized bed dryer was studied at different drying air temperatures (45°C, 55°C and 65°C) and at different initial microwave power densities (0W/g, 1W/g and 2W/g). Dried product quality, product mass, air temperature, air relative humidity, and electric power consumption were used to monitor the performance of the drying process. The results showed that the Midilli-Kucuk model was best in predicting the moisture ratio as a function of drying time. At any given temperature, the utilization of the microwave energy reduced by more than 50% th

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Reports on the topic "Deep bed drying model"

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Copeland, Ronald, and James Lewis. Technical assessment of the Old, Mississippi, Atchafalaya, and Red (OMAR) Rivers: Mississippi River HEC-6T model. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45160.

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The HEC-6T 1D numerical sedimentation model was used to evaluate the long-term and system-wide sedimentation effects of modifying the operation schedule at the Old River Control Complex (ORCC). The changes evaluated were the increase and decrease of the percentages of flow diverted from the Mississippi River at the ORCC and the modification of the distributions through the four ORCC structures. Also evaluated were dredging scenarios that removed sediment from the bed of the Mississippi River at the ORCC. Sedimentation effects for several operation and dredging scenarios were compared to a Base

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Chapman, Ray, Phu Luong, Sung-Chan Kim, and Earl Hayter. Development of three-dimensional wetting and drying algorithm for the Geophysical Scale Transport Multi-Block Hydrodynamic Sediment and Water Quality Transport Modeling System (GSMB). Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41085.

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The Environmental Laboratory (EL) and the Coastal and Hydraulics Laboratory (CHL) have jointly completed a number of large-scale hydrodynamic, sediment and water quality transport studies. EL and CHL have successfully executed these studies utilizing the Geophysical Scale Transport Modeling System (GSMB). The model framework of GSMB is composed of multiple process models as shown in Figure 1. Figure 1 shows that the United States Army Corps of Engineers (USACE) accepted wave, hydrodynamic, sediment and water quality transport models are directly and indirectly linked within the GSMB framework.

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