Parameters Online Detection and Model Predictive Control during the Grain Drying Process

Zhang, Lihui; Cui, Helei; Li, Hongli; Han, Feng; Zhang, Yaqiu; Wu, Wenfu

doi:10.1155/2013/924698

Cited by 7 publications

(6 citation statements)

References 4 publications

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“…These models are based on the general theory of convective drying and they often involve empirical formulas. In these models, the considered phenomena are non-stationary processes, which implies that grain temperature T g , air temperature T a , moisture content of grain u g , and humidity x a change over time and are influenced by the position of individual grains inside the layer [25]. Based on the direction and orientation of air and grain stream flows (Figure 4), the second group of models can be subdivided into: drying models of an immobile grain layer, parallel-flow drying models, counter-flow drying models, and cross-flow drying models.…”

Section: Drying Chamber 231 Classification Of the Modelsmentioning

confidence: 99%

Generalized Mathematical Model of the Grain Drying Process

Myhan

Markowski²

2022

Processes

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Convective cereal grain drying is an energy-intensive process. Mathematical models are applied to analyze and optimize grain drying processes in different types of dryers and in different stages of drying to improve final grain quality and reduce energy consumption. The aim of the present study was to develop a generalized mathematical model of the grain drying process that accounts for all drying stages, including loading and unloading of unprocessed grain, drying, and cooling of dry grain. The developed mathematical model is a system of algebraic equations, where the calculated coefficients are determined by the thermophysical and diffusive properties of dried grain. The model was validated for batch drying of wheat, canola, and corn grain, as well as continuous flow drying of wheat grain. The results were compared with published findings. The relationships between energy consumption during drying and drying time vs. air temperature at the dryer inlet and air stream volume were determined. Dryer capacity and drying conditions specified by the manufacturers, as well as loading and unloading capacity, were considered during batch drying. Continuous flow drying simulations were conducted in counter-flow, parallel-flow, and cross-flow mode. Simulation results indicate that the proposed models correctly depicted process flow in both batch and continuous flow dryers.

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Section: Drying Chamber 231 Classification Of the Modelsmentioning

confidence: 99%

Generalized Mathematical Model of the Grain Drying Process

Myhan

Markowski²

2022

Processes

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“…The main drying process parameters common to all dryer types are the drying agent temperature, relative humidity (RH) and speed (Kocsis, et al, 2011). The use of an instrumentation system can greatly improve the quality, management, operation and efficiency of the drying process as these are functions of drying parameters (Kocsis et al, 2011;Zhang et al, 2013).…”

Section: *Corresponding Authormentioning

confidence: 99%

“…Out of many drying parameters, only the temperature and RH were considered as drying process parameters. Zhang et al, (2013) instrumented a cross-flow circulation grain dryer for drying parameters detection; the moisture of the drying grains was not globally accounted for as the grains are in different locations and the sensor cannot have direct contact with all the grains at the same time. In Von Gersdorff et al, (2018) the sample was taken out of the dryer at a given time interval for weight measurement to determine the sample moisture content.…”

Section: *Corresponding Authormentioning

confidence: 99%

Development of an Instrumentation System for a Laboratory Model Food Product Dryer

2020

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To achieve optimal dryer performance, the process parameters required for both the optimization and control of the drying process must be made available via the instrumentation system. A few works have been reported on the development of instrumentation systems for handling drying system parameters. Out of which, some are deficient in the number of drying process parameters that can be handled, while others are unreliable and inaccurate. Therefore, there is the need to develop a microcontroller-based instrumentation system that can monitor, measure, control, display and store the main drying process parameters and sample weight with a high degree of reliability and accuracy. In this study, the sensors were selected based on system specifications and interfaced with the microcontroller. The codes for controlling, logging and displaying of drying parameters were developed and installed on the microcontroller. When tested at steady-state conditions, the system yielded satisfactory results with maximum control and detection errors being 2.0% and 1.8% for the temperature and sample weight, respectively. The developed system can be used for efficient computation of both the dry and wet basis sample moisture content values and also detect the set sample weight. Keywords— Dryer, Drying parameters, Instrumentation system, Moisture content, Sensor.

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“…The system of automated determination of grain drying parameters is known [15]. The drawback of this system is the use of industrial grain moisture sensors, which have a high cost and need constant calibration when changing the dryer operating modes.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of the method of exposure control of grain drying in hightemperature dryers

Volkhonov

Jabbarov

Soldatov

et al. 2018

EEJET

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Parameters Online Detection and Model Predictive Control during the Grain Drying Process

Cited by 7 publications

References 4 publications

Generalized Mathematical Model of the Grain Drying Process

Generalized Mathematical Model of the Grain Drying Process

Development of an Instrumentation System for a Laboratory Model Food Product Dryer

Development of the method of exposure control of grain drying in hightemperature dryers

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Parameters Online Detection and Model Predictive Control during the Grain Drying Process

Cited by 7 publications

References 4 publications

Generalized Mathematical Model of the Grain Drying Process

Generalized Mathematical Model of the Grain Drying Process

Development of an Instrumentation System for a Laboratory Model Food Product Dryer

Development of the method of exposure control of grain drying in high­temperature dryers

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Product

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Development of the method of exposure control of grain drying in hightemperature dryers