Moisture Ratio Prediction in Drying Process of Agricultural Products: A New Correlation Model

2010 ◽  
Vol 26 (6) ◽  
pp. 1005-1011 ◽  
Author(s):  
A. Topuz ◽  
C. Hamzacebi
Keyword(s):  
Moisture Ratio ◽  
Agricultural Products ◽  
Correlation Model ◽  
Drying Process ◽  
New Correlation

scholarly journals Reconstruction of Rice Drying Model and Analysis of Tempering Characteristics Based on Drying Accumulated Temperature

2021 ◽  
Vol 11 (23) ◽  
pp. 11113
Author(s):  
Yi Jin ◽  
Jun Yin ◽  
Huihuang Xie ◽  
Zhongjie Zhang
Keyword(s):  
Moisture Ratio ◽  
Drying Process ◽  
Hot Air Drying ◽  
Exponential Relationship ◽  
Transfer Processes ◽  
Data Comparison ◽  
Hot Air ◽  
Accumulated Temperature ◽  
Mass And Heat Transfer ◽  
Rice Drying

Previous research has shown that the accumulated temperature can describe drying processes as well as crop growth. To describe the mass and heat transfer processes in the rice drying process more accurately, a mathematical model of rice drying was proposed based on the drying accumulated temperature, and the optimal tempering ratio for conventional hot air drying was obtained through data comparison and analysis. First, it was proven that there was an exponential relationship between the moisture ratio and the drying accumulated temperature of rice. Second, by comparing and analyzing the fitting results of seven different drying mathematical models, the model with the highest fitting degree was selected and reconstructed to obtain the drying accumulated temperature–moisture ratio model. Finally, the new model was used to fit the results of two drying experiments without and with tempering, and the tempering characteristics of rice drying were proved by comparing and analyzing the coefficient difference between the two models. The results showed that the optimal tempering ratio was 3. This study thus provides a reference for rice drying process parameters.

scholarly journals Drying kinetics and microbiological quality of green onions

Revista CERES ◽  
2016 ◽  
Vol 63 (6) ◽  
pp. 769-774
Author(s):  
Ana Paula Martinazzo ◽  
Luiz Carlos Correa Filho ◽  
Carlos Eduardo de Souza Teodoro ◽  
Pedro Amorim Berbert
Keyword(s):  
Mathematical Modeling ◽  
Microbiological Quality ◽  
Agricultural Products ◽  
Allium Fistulosum ◽  
Drying Process ◽  
Excess Production ◽  
High Yields ◽  
Page Equation ◽  
Best Fit

ABSTRACT Green onion (Allium fistulosum L.) is widely consumed and traded in Brazil as condiment. Because of the high yields in the region of Volta Redonda - RJ and the alternative of drying as a method for preserving the excess production, the objective of this study was to evaluate the drying process of green onions, considering the microbiological quality, and to develop the mathematical modeling of this process. Mathematical models to describe the drying of agricultural products were used to predict the phenomenon. The modified Page equation gave the best fit to the data. Microbiological quality was evaluated using the analysis of aerobic mesophilic bacteria, molds and yeasts. Dehydration at 60 ºC was the most indicated for green onions, with assured microbiological quality.

Modeling the Electrohydrodynamic (EHD) Drying of Banana Slices

2016 ◽  
Vol 12 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Kianoosh Pirnazari ◽  
Ali Esehaghbeygi ◽  
Morteza Sadeghi
Keyword(s):  
Moisture Transfer ◽  
Moisture Diffusivity ◽  
Moisture Ratio ◽  
Coefficient Of Determination ◽  
Maximum Difference ◽  
Drying Process ◽  
External Resistance ◽  
Rate Period ◽  
Maximum Coefficient ◽  
Predicted Values

Abstract Electrohydrodynamic (EHD) drying of banana slices was modeled both numerically and empirically. The drying process was conducted using the EHD technique at 6, 8, and 10 kV cm−1 with banana slices 3 mm thick. Based on the maximum coefficient of determination (R2) and minimum value of root mean square of error (RMSE) observed in the experimental and predicted values of moisture ratio, the diffusion model was identified as the best prediction model. The values for effective moisture diffusivity were calculated to be in the range of 3.12 × 10−10 to 4.23 × 10−10 m2 s−1. In addition, a theoretical model was developed using the numerical (implicit) solution of the second Fick’s equation based on low variation in the external resistance by applying EHD. Moisture ratio versus time showed a falling rate period indicating that the internal moisture transfer is dominant at EHD. Results of numerical solution showed adequate consistency with experimental data, having the maximum difference of less than 0.16 g g−1 in moisture content.

Tuning and Implementation of a Feedback Control Strategy for Drying Process Based on IAE Minimization

2016 ◽  
Author(s):  
Ana M. Lugo ◽  
Cinthia Audivet Durán ◽  
Marco E. Sanjuán
Keyword(s):  
Feedback Control ◽  
Regression Model ◽  
Control Strategy ◽  
Agricultural Products ◽  
Optimum Operating ◽  
Maintenance Cost ◽  
Control Element ◽  
Drying Process ◽  
Operation Conditions ◽  
Feedback Control Strategy

Agricultural products contain a significant amount of moisture during the harvesting stage. The presence of this moisture increases the deterioration rate of the products during storage, handling, and processing periods; drying is one of the most suitable processes that can be applied to these by-products before using them as cattle feed or soil conditioner. This process is certainly one of the most energy consuming found in industry. The selection of an appropriate process control strategies can minimize production and maintenance cost, maximize product quality and reduce environmental pollution. Rotary dryers are normally employed to dry agricultural products because it can give high production rate and high drying uniformity. The aim of this research is to improve the performance of a feedback control strategy for a drying process, based on the implementation design of experiment; this approach allows finding specifics tuning parameters and potential operation conditions that will traduce in a more robust process. The selected criterion to evaluate the performance of the strategy is the integral absolute of the error (IAE) and the analysis is based on a dynamic model of a rotary dryer. The objective of the process improvement is to find an operation region, function of the controller gain, the integral time and derivative time, in which IAE parameter is minimized, this will lead to enhancement of equipment performance and reduction of the wear of the final control element. Once the controlled strategy is described, the methodology states an exploratory stage, for process characterization, establishment of a regression model, to describe the relation between experiment significant factors and response variable, maximum ascent route, exploration of a possible curvature, definition of a new regression model and finally determination of a new optimum operating point.

Pengeringan Jagung Menggunakan Alat Pengering Efek Rumah Kaca dengan Sumber Energi Surya dan Biomassa Tongkol Jagung

Agrotek ◽  
2018 ◽  
Vol 2 (4) ◽  
Author(s):  
Wilson Palelingan Aman
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Heat Source ◽  
Specific Energy Consumption ◽  
Initial Moisture Content ◽  
Heat Energy ◽  
Agricultural Products ◽  
Water Tank ◽  
Drying Process ◽  
Drying Time

Drying process is one of important stage in handling of agricultural products. However, this process required much energy to remove moisture from the product. Because of that, it was needed a dryer to remove water from inside of products. A dryer with solar energy as a heat source combined with heat energy from corncob biomass was designed and used in corn dried. The dryer is usually known as green house effect-hybrid (GHE-hybrid). GHE-hybrid consists of absorber, product holder, fans to remove moisture from dried product, heat exchanger, stove and water tank. The heat source used in dryer comes from solar radiation and biomass burned in stove. The objective of this research was to evaluate performance of dryer use solar energy and corncob as heating sources. Results of this research showed that drying process of 1526 kg of corn with initial moisture content 25.7% wet basic until 16.7% wet basic needed drying time of 14 hours. The corncobs that were needed to remove the moisture was about 180 kg. The energy calculated in this drying process from corncob, diesel fuel, solar radiation which were about 3150 MJ or 62%, 1739.71MJ or 34%, 204.94 MJ or 4%, respectively. The research also found that the thermal eficiency of dryer was 28%, eficiency of drying heat was 59.62%, total eficiency was 11.23% and specific energy consumption was 31522,52 kJ/kg.

Development of a Compact Vacuum Freeze Drying for Jelly Fish (Schypomedusae)

2012 ◽  
Vol 58 (2) ◽  
Author(s):  
M. Idrus Alhamid ◽  
M. Yulianto ◽  
Nasruddin M. ◽  
Engkos A. Kosasih
Keyword(s):  
Heat Loss ◽  
Freeze Drying ◽  
Moisture Ratio ◽  
Cold Trap ◽  
Chamber Pressure ◽  
Internal Cooling ◽  
Drying Process ◽  
Drying Time ◽  
Chamber Temperature ◽  
Drying Chamber

A new design of a vacuum freeze drying with internal cooling and heater from condenser’s heat loss was built and tested. The dryer was used to dry jelly fish (scyphomedusae) to study the effect of drying parameter such as temperature within the drying chamber on mass losses (evaporation) during freezing stage and moisture ratio at the end of drying process and also the drying rate of vacuum drying process. The cold trap temperature rise in when activated the heating from condenser’s heat loss. The midili thin layer mathematical drying model was used to estimate and predict the moisture ratio curve base on different drying chamber temperature. The result of this experiment show that mass loss during freezing stage decreased with a decrease in drying chamber temperature with constant pressure. Drying time reduced with an increase in drying temperature. Drying chamber temperature decreasing has a result pressure saturation of material lower than drying chamber pressure have an effect mass transfer should not occurs.

scholarly journals Modelling and characteristics of thin layer convective air-drying of thyme (Thymus vulgaris) leaves

2019 ◽  
Vol 37 (No. 2) ◽  
pp. 128-134
Author(s):  
Osman Yağız Turan ◽  
Ebru Fıratlıgil
Keyword(s):  
Thin Layer ◽  
Goodness Of Fit ◽  
Food Preservation ◽  
Moisture Ratio ◽  
Coefficient Of Determination ◽  
Thymus Vulgaris ◽  
Drying Process ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Kinetics Of

Fruit and vegetable dehydration has been extensively studied for the improvement of food preservation. Effects of drying temperature on the drying kinetics of thyme were investigated and a suitable drying model was obtained to describe the drying process. Drying behaviour of thyme leaves at temperatures of 50, 60, 70 and 80°C was determined by using a conventional drying oven, and moisture ratio and drying rates were calculated. Four different thin layer drying models, namely Lewis, Henderson and Pabis, Page, and logarithmic models, were used to fit the experimental moisture ratio data. Three statistical parameters: coefficient of determination (R<sup>2</sup>), chi-square (χ<sup>2</sup>) and root mean square error (RMSE) were used to compare the goodness of fit of the drying models. Logarithmic model and Page model give the best description of the drying process kinetics of thyme leaves by comparing the experimental values and predicted values.

scholarly journals РАЗРАБОТКА И ИСПЫТАНИЕ СОЛНЕЧНОЙ УСТАНОВКИ С ПОЛИКАРБОНАТНЫМ ПОКРЫТИЕМ ДЛЯ СУШКИ ПРОДУКТОВ СЕЛЬСКОГО ХОЗЯЙСТВА

World Science ◽  
2021 ◽  
Author(s):  
Ketevan Archvadze ◽  
Ilia Chachava ◽  
Ketevan Papava ◽  
Nanuli Khotenashvili ◽  
Riva Liparteliani ◽  
...  
Keyword(s):  
Vitamin C ◽  
Air Temperature ◽  
Laboratory Analysis ◽  
Agricultural Products ◽  
Solar Drying ◽  
Drying Process ◽  
Drying Time ◽  
Drying System ◽  
Natural Drying

The proposed solar drying system significantly reduces the drying time and improves the quality of the product, including the preservation of vitamins. When drying rosehip, a laboratory analysis for vitamin "C" showed that 28% of this vitamin is destroyed during natural drying, and 17% when using a solar dryer.The drying speed increases by 2.5 - 4 times compared to traditional outdoor drying.In the proposed installation, you can dry different agricultural products, you can change the coating of the solar drying unit. In S/D, the air temperature is higher than in the environment from about 13 to 32 degrees Celsius, depending on weather conditions.The drying process in the S/D apparatus allows you to ensure the purity of the products. S/D is covered and during the drying process the product is not contaminated with dust and rain, by influence of dew, is not damaged by birds, insects or wasps.This device is convenient for transportation, during the day it can be moved and rotated to align to the sun.The proposed solar dryer is easy to manufacture and can be widely used in large and small farms, private and subsidiary farms.

scholarly journals Effect of Temperature at Tray Position on Drying of D.ark Re.d Oni.on-slice.s at Elevated Air Velocity

2020 ◽  
Vol 9 (4) ◽  
pp. 293-296
Keyword(s):  
Mass Flow Rate ◽  
Mass Flow ◽  
Flow Rate ◽  
Moisture Ratio ◽  
Convective Drying ◽  
Flow Rate Ratio ◽  
Effect Of Temperature ◽  
Drying Process ◽  
Air Velocity ◽  
Drying Time

The convective drying process is used to dry onion-slices. The drying experiments are conducted at a drying temperature of 50oC, 60oC, 70oC, and at an air velocity of 1.99, 3.54, 5.66, and 7.52 m/s. The objective is to study the influence of tray position on drying of dark red onion. The work diverges in analyzing drying constants at air velocity beyond 2 m/s. The moisture ratio for the middle tray is greater compared to the top and bottom tray. A smaller moisture ratio is observed for 60°C compared to 50 and 70°C. Moisture removal per unit mass flow rate ratio is lowest observed for bottom tray with 60°C. The ratio of moisture content and mass flow rate for 60 and 70 °C, displays a downward trend with drying time. The randomness in the drying rate at 60 °C and 70 °C is comparatively lesser than 50 °C.

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