1
|
Zhu GF, Vidyarthi SK, Zhou XQ, Zhang YL, Lei DW, Li LX, Shi JF, Chen PX, Xie QZ, Xiao HW. Multiphysical field and multiobjective mathematical modeling of grain-oilseed storage: Current status and future trends. Compr Rev Food Sci Food Saf 2024; 23:e13432. [PMID: 39289792 DOI: 10.1111/1541-4337.13432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 07/22/2024] [Accepted: 07/30/2024] [Indexed: 09/19/2024]
Abstract
Storage is an important process involved in the postharvest treatment of grain-oilseed and is necessary for maintaining high quality and ensuring the long-term supply of these commodities in the food industry. Proper storage practices help prevent spoilage, maintain nutritional value, and preserve marketable quality. It is of great interest for storage to investigate flow, heat and mass transfer processes, and quality change for optimizing the operation parameters and ensuring the quality of grain-oilseed. This review discusses the mathematical models developed and applied to describe the physical field, biological field, and quality change during the storage of grain-oilseed. The advantages, drawbacks, and industrial relevance of the existing mathematical models were also critically evaluated, and an organic system was constructed by correlating them. Finally, the future research trends of the mathematical models toward the development of multifield coupling models based on biological fields to control quality were presented to provide a reference for further directions on the application of numerical simulations in this area. Meanwhile, artificial intelligence (AI) can greatly enhance our understanding of the coupling relationships within grain-oilseed storage. AI's strengths in both qualitative and quantitative analysis, as well as its effectiveness, make it an invaluable tool for this purpose.
Collapse
Affiliation(s)
- Guang-Fei Zhu
- Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Agro-Products Primary Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Sriram K Vidyarthi
- Department of Biological and Agricultural Engineering, University of California, Davis, Davis, California, USA
| | - Xin-Qun Zhou
- Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Agro-Products Primary Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Yong-Li Zhang
- Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Agro-Products Primary Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Deng-Wen Lei
- College of Engineering, China Agricultural University, Beijing, China
| | - Lan-Xin Li
- Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Jian-Fang Shi
- Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Agro-Products Primary Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Peng-Xiao Chen
- School of Food and Strategic Reserves, Henan University of Technology, Zhengzhou, China
| | - Qi-Zhen Xie
- Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Agro-Products Primary Processing, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Hong-Wei Xiao
- Department of Biological and Agricultural Engineering, University of California, Davis, Davis, California, USA
| |
Collapse
|
2
|
Nunes MT, Coradi PC, Müller A, Oliveira Carneiro L, Steinhaus JI, Anschau KF, Souza GC, Müller EI, Teodoro PE, Dutra AP. Stationary rice drying: Influence of initial moisture contents and impurities in the mass grains on the physicochemical and morphological rice quality. J FOOD PROCESS PRES 2022. [DOI: 10.1111/jfpp.16558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Marcela Trojahn Nunes
- Department of Agricultural Engineering, Rural Sciences Center Federal University of Santa Maria Santa Maria Brazil
| | - Paulo Carteri Coradi
- Department of Agricultural Engineering, Rural Sciences Center Federal University of Santa Maria Santa Maria Brazil
- Department of Agricultural Engineering, Campus Cachoeira do Sul, Laboratory of Postharvest Federal University of Santa Maria Cachoeira do Sul Brazil
| | - Amanda Müller
- Department of Agricultural Engineering, Rural Sciences Center Federal University of Santa Maria Santa Maria Brazil
| | - Letícia Oliveira Carneiro
- Department of Agricultural Engineering, Campus Cachoeira do Sul, Laboratory of Postharvest Federal University of Santa Maria Cachoeira do Sul Brazil
| | - Jonatas Ibagé Steinhaus
- Department of Agricultural Engineering, Campus Cachoeira do Sul, Laboratory of Postharvest Federal University of Santa Maria Cachoeira do Sul Brazil
| | | | - Guilherme Coelho Souza
- Department of Agricultural Engineering, Campus Cachoeira do Sul, Laboratory of Postharvest Federal University of Santa Maria Cachoeira do Sul Brazil
| | - Edson Irineu Müller
- Department of Chemical Engineering Federal University of Santa Maria Santa Maria Brazil
| | - Paulo Eduardo Teodoro
- Department of Agronomy, Campus de Chapadão do Sul Federal University of Mato Grosso do Sul Chapadão do Sul Brazil
| | - Arthur Pozzobon Dutra
- Department of Agricultural Engineering, Campus Cachoeira do Sul, Laboratory of Postharvest Federal University of Santa Maria Cachoeira do Sul Brazil
| |
Collapse
|
3
|
Aziz H, Ahsan SN, De Simone G, Gao Y, Chaudhuri B. Computational Modeling of Drying of Pharmaceutical Wet Granules in a Fluidized Bed Dryer Using Coupled CFD-DEM Approach. AAPS PharmSciTech 2022; 23:59. [PMID: 35059893 DOI: 10.1208/s12249-021-02180-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 11/15/2021] [Indexed: 11/30/2022] Open
Abstract
Drying of wet granules in a fluidized bed dryer is an important part of the pharmaceutical tablet manufacturing process. Complicated gas-solid flow patterns appear in the fluidized bed dryer, and interphase momentum, heat, and mass transfer happen during the drying process. A coupled computational fluid dynamics (CFD)-discrete element method (DEM)-based approach was used to model the drying process of pharmaceutical wet granules in a fluidized bed dryer. The evaporation of water from the surfaces of the particles and the cohesion force between the particles due to the formation of liquid bridges between the particles were also considered in this model. The model was validated by comparing the model predictions with the experimental data available from the literatures. The validated model was used to investigate the drying kinetics of the wet granules in the fluidized bed dryer. The results from numerical simulations showed that the dynamics and rate of increase of temperature of wet particles were considerably different from those of dry particles. Finally, the model was used to investigate the effects of inlet air velocity and inlet air temperature on the drying process. The model predicted increase in drying rate with the increase of inlet air velocity and inlet air temperature. This model can help not only to understand the multiphase multicomponent flow in fluidized bed dryer but also to optimize the drying process in the fluidized bed dryer.
Collapse
|
4
|
Araujo MEV, Corrêa PC, Barbosa EG, Martins MA. Determination and modeling of physical and aerodynamic properties of coffee beans (
Coffea arabica
) during the drying process. J FOOD PROCESS PRES 2021. [DOI: 10.1111/jfpp.15698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Paulo Cesar Corrêa
- Department of Agricultural Engineering Federal University of Viçosa Viçosa Brazil
| | | | | |
Collapse
|
5
|
Mohd Yusof HA, Ng JL, Ng SC, Lee YJ, Hii CL, Putranto A. Modeling of Convective Drying of Sawdust Using a Reaction Engineering Approach. Chem Eng Technol 2020. [DOI: 10.1002/ceat.202000013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Hanna Amirah Mohd Yusof
- University of Nottingham Malaysia Department of Chemical and Environmental Engineering, Faculty of Science and Engineering Jalan Broga 43500 Semenyih Selangor Darul Ehsan Malaysia
| | - Jes Lynn Ng
- University of Nottingham Malaysia Department of Chemical and Environmental Engineering, Faculty of Science and Engineering Jalan Broga 43500 Semenyih Selangor Darul Ehsan Malaysia
| | - Sze Chiat Ng
- University of Nottingham Malaysia Department of Chemical and Environmental Engineering, Faculty of Science and Engineering Jalan Broga 43500 Semenyih Selangor Darul Ehsan Malaysia
| | - Yan Jie Lee
- University of Nottingham Malaysia Department of Chemical and Environmental Engineering, Faculty of Science and Engineering Jalan Broga 43500 Semenyih Selangor Darul Ehsan Malaysia
| | - Ching Lik Hii
- University of Nottingham Malaysia Department of Chemical and Environmental Engineering, Faculty of Science and Engineering Jalan Broga 43500 Semenyih Selangor Darul Ehsan Malaysia
| | - Aditya Putranto
- Monash University Malaysia Discipline of Chemical Engineering, School of Engineering Jalan Lagoon Selatan, Bandar Sunway 47500 Subang Jaya Selangor Darul Ehsan Malaysia
| |
Collapse
|
6
|
Chavan A, Thorat B. Mathematical analysis of solar conduction dryer using reaction engineering approach. INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING 2020. [DOI: 10.1515/ijcre-2019-0220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AbstractSolar conduction dryer (SCD) utilizes all three modes of heat transfer, viz., conduction, convection, and radiation. The effect of individual mode of heat transfer in SCD on agricultural product drying was studied using drying kinetics and basic heat transfer calculations. It was observed that the order of influence of mode of heat transfer mechanism as conduction followed by radiation and then convection. The correlation for relative activation energy (∆Ev/∆Ev,∞) as a function of moisture content (X−X∞), effective diffusivity (Deff), and mass transfer coefficient (hm) were determined for each mode of heat transfer. It was observed that the reaction engineering approach (REA) is appropriate tool to understand the physics of drying mechanism in SCD.
Collapse
Affiliation(s)
- Anand Chavan
- Department of Chemical Engineering, Institute of Chemical Technology, Nathalal Parekh Marg, Matunga (E), Mumbai, 400019, Maharashtra, India
| | - Bhaskar Thorat
- Department of Chemical Engineering, Institute of Chemical Technology, Nathalal Parekh Marg, Matunga (E), Mumbai, 400019, Maharashtra, India
| |
Collapse
|
7
|
Coradi PC, Müller A, Souza GAC, Steinhaus JI, Wagner R. Quality of soybean cultivars in the drying and storage processes in real scale and experimental. J FOOD PROCESS ENG 2020. [DOI: 10.1111/jfpe.13418] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Paulo C. Coradi
- Campus Cachoeira do Sul, Federal University of Santa Maria Cachoeira do Sul Rio Grande do Sul Brazil
| | - Amanda Müller
- Campus Cachoeira do Sul, Federal University of Santa Maria Cachoeira do Sul Rio Grande do Sul Brazil
| | - Guilherme A. C. Souza
- Campus Cachoeira do Sul, Federal University of Santa Maria Cachoeira do Sul Rio Grande do Sul Brazil
| | - Jontas I. Steinhaus
- Campus Cachoeira do Sul, Federal University of Santa Maria Cachoeira do Sul Rio Grande do Sul Brazil
| | - Roger Wagner
- Department of Food TechnologyFederal University of Santa Maria Santa Maria Rio Grande do Sul Brazil
| |
Collapse
|
8
|
Chacón Alvarez D, Jorge LMM, Jorge RMM. The impact of periodic operation on barley hydration. J FOOD PROCESS ENG 2019. [DOI: 10.1111/jfpe.13326] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- David Chacón Alvarez
- Chemical Engineering Department, Graduate Program in Food EngineeringFederal University of Paraná, Laboratory of Process Engineering in Particulate Systems Curitiba Paraná Brazil
| | - Luiz M. M. Jorge
- Chemical Engineering DepartmentGraduate Program in Chemical Engineering, State University of Maringá Maringá Paraná Brazil
| | - Regina M. M. Jorge
- Chemical Engineering Department, Graduate Program in Food EngineeringFederal University of Paraná, Laboratory of Process Engineering in Particulate Systems Curitiba Paraná Brazil
| |
Collapse
|
9
|
Park HW, Han WY, Yoon WB. Drying Characteristics of Soybean (Glycine Max) Using Continuous Drying and Intermittent Drying. INTERNATIONAL JOURNAL OF FOOD ENGINEERING 2018. [DOI: 10.1515/ijfe-2018-0057] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AbstractThe effects of drying temperature by continuous and intermittent drying on the drying characteristics of soybean were determined in this study. Among the thin-layer drying models, the Midilli–Kucuk model showed the best fit (R2> 0.99) to describe the drying of soybean. At 300 min of the effective drying time, the moisture content of continuous drying at 35, 40, and 45 ºC were 9.38 (±0.00), 8.69 (±0.17), and 7.70 % (±0.48), respectively; while the moisture content of intermittent drying at 35, 40, and 45 ºC were 8.28 (±0.21), 7.31 (±0.41), and 6.97 % (±0.07), respectively. The image analysis method for detection of the crack in soybean demonstrated that at the target moisture content (7.7 %), cracked grain ratios with intermittent drying at 35, 40, and 45 ºC were reduced by 52.08, 27.59, and 18.24 %, respectively. With the effective drying time, the activation energy for intermittent drying (9.33 kJ/mol) was significantly lower than that value for continuous drying (21.23 kJ/mol).
Collapse
Affiliation(s)
- Hyeon W. Park
- Department of Food Science and Biotechnology, College of Agriculture and Life Science, Kangwon National University, Chuncheon24341, Korea
| | - Won Y. Han
- Department of Functional crop, National Institute of Crop Science Miryang, Miryang627-803, Korea
| | - Won B. Yoon
- Department of Food Science and Biotechnology, College of Agriculture and Life Science, Kangwon National University, Chuncheon24341, Korea
| |
Collapse
|
10
|
Jung H, Yoon WB. The effect of intermittent drying on the cracking ratio of soybeans ( Glycine max) at different relative humidity using reaction engineering approach modeling. Food Sci Nutr 2018; 6:1492-1500. [PMID: 30258591 PMCID: PMC6145221 DOI: 10.1002/fsn3.709] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Accepted: 05/28/2018] [Indexed: 11/26/2022] Open
Abstract
Intermittent drying (ID) was applied to reduce soybean cracking because of the low moisture gradient and little thermal stress on soybeans during their tempering period. The drying temperature and relative humidity (RH) for the drying and tempering periods were 35°C and 20% and 25°C and 43%, respectively. The intermittency (α) of the drying was defined as the ratio of the drying period to the duration of the drying and tempering periods, and it varied at α = 1, 0.5, 0.4, and 0.25 to evaluate the drying characteristics and the soybeans' quality. Intermittency processes redistributed the moisture in the soybean so that the low thermal stress was applied to the soybeans. The percentage of cracked grains increased with increasing the duration of drying period and decreasing tempering period. The moisture content and temperature changes during drying of soybeans were well fitted by reaction engineering approach (REA) modeling. Additionally, the physics that describe the soybeans' drying behavior during ID were explained by the model parameters obtained from the REA modeling, such as the surface relative humidity and the surface water vapor concentration. ID showed the highest drying efficiency at α = 0.25 regarding the total drying time (13,800 s, i.e., the shortest drying time) and the lowest cracking ratio (<2.18%).
Collapse
Affiliation(s)
- Hwabin Jung
- Department of Food Science and BiotechnologyCollege of Agriculture and Life SciencesKangwon National UniversityGangwonKorea
| | - Won Byong Yoon
- Department of Food Science and BiotechnologyCollege of Agriculture and Life SciencesKangwon National UniversityGangwonKorea
| |
Collapse
|
11
|
|
12
|
Ghaffari A, Mehdipour R. Modeling and Improving the Performance of Cabinet Solar Dryer Using Computational Fluid Dynamics. INTERNATIONAL JOURNAL OF FOOD ENGINEERING 2015. [DOI: 10.1515/ijfe-2014-0266] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
In this study, a new approach for numerically modeling of an entire cabinet solar dryer is proposed. Collector, drying chamber and chimney are the three principle sections considered in the present modeling. The collector section containing a cover and an absorber plate is modeled applying energy and fluid flow equations to obtain temperature distribution inside the collector. Due to the non-linear behavior of the governing equations as well as variety of effective variables, an iterative method is employed for solution. Regarding the geometry complexity of the drying chamber along with the air compressibility (that in turn causes coupling of momentum and energy equations) drying chamber is simulated by CFD method. Chimney’s effect and effective parameters in suction are comprehensively considered in the present model. The numerical results are in line with experimental results which show that the model can be applied with certainty to employ the dryer for drying highly demanded and time-consuming products in a scientific, sanitary, and timely manner. The model is then optimized by adding some baffles to achieve higher efficiencies and accelerate the drying process.
Collapse
|
13
|
|
14
|
Putranto A, Chen XD. A Simple and Effective Model for Modeling of Convective Drying of Sewage Sludge: The Reaction Engineering Approach (REA). ACTA ACUST UNITED AC 2014. [DOI: 10.1016/j.proche.2014.05.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
15
|
Putranto A, Chen XD. Spatial Reaction Engineering Approach (S-REA) as a Multiphase Drying Approach to Model the Heat Treatment of Wood under a Constant Heating Rate. Ind Eng Chem Res 2013. [DOI: 10.1021/ie4000689] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Aditya Putranto
- Department of Chemical Engineering, Monash University, Clayton Campus, Melbourne, Victoria 3800, Australia
- Department of Chemical Engineering, Parahyangan Catholic University, Jalan Ciumbuleuit
94, Bandung, Indonesia
| | - Xiao Dong Chen
- Department of Chemical Engineering, Monash University, Clayton Campus, Melbourne, Victoria 3800, Australia
- College of Chemistry, Chemical Engineering and Material Science, Soochow
University, Jiangsu Province, People Republic of China
| |
Collapse
|
16
|
Putranto A, Chen XD. Spatial reaction engineering approach as an alternative for nonequilibrium multiphase mass-transfer model for drying of food and biological materials. AIChE J 2012. [DOI: 10.1002/aic.13808] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Aditya Putranto
- Dept. of Chemical Engineering; Monash University; Clayton Campus; Melbourne; Victoria; 3800; Australia
| | - Xiao Dong Chen
- Dept. of Chemical and Biochemical Engineering; College of Chemistry and Chemical Engineering; Xiamen University; Xiamen; Fujian Province; People's Republic of China
| |
Collapse
|