scholarly journals Study on microwave moisture measurement of grain crops

2021 ◽  
Vol 939 (1) ◽  
pp. 012091
Author(s):  
P I Kalandarov ◽  
Z Mukimov ◽  
Kh Abdullaev ◽  
N Avezov ◽  
O Tursunov ◽  
...  
Keyword(s):  
Experimental Data ◽  
Measurement Error ◽  
Moisture Content ◽  
Continuous Production ◽  
Electrical Signal ◽  
Microwave Method ◽  
Grain Processing ◽  
Grain Moisture ◽  
Moisture Meter ◽  
Cotton Seeds

Abstract This article discusses the possibility of implementing the microwave method for controlling the moisture content of agro-industrial products, which allows it to be used to control technological processes in grain processing industries and to control materials in free space, converting the parameters of waves passed through the material’s wave into an electrical signal. A functional diagram of the developed moisture meter is proposed, on the basis of the method, its electrodynamics’ characteristics are determined. Experimental data was obtained for samples of cotton seeds with specified moisture values. A method for measuring grain moisture in continuous production have been proposed, which gives a possibility to reduce the components of the measurement error caused by the uneven distribution of moisture in the grain, the inhomogeneity of the material in terms of density and temperature.

Effects of Non-uniform Kernel Moisture Content on Moisture Measurement of Corn

2005 ◽  
Vol 1 (1) ◽  
pp. 77-93
Author(s):  
Bíborka Gillay ◽  
David B. Funk
Keyword(s):  
Moisture Content ◽  
Moisture Measurement ◽  
Safe Storage ◽  
Grain Moisture ◽  
Moisture Meter ◽  
Percent Moisture ◽  
New Crop ◽  
The U.S

The price paid for corn is usually based on 15.0 or 15.5 percent moisture content. However, corn must be dried below 13 percent moisture to ensure safe storage for a year or more. In the U.S., such stored corn cannot be directly remoistened before selling it, but it can be mixed with moist new-crop corn. Accurate moisture measurement of mixtures of dry and moist corn is important to permit adjustment of blending ratios to maximize profitability, but grain moisture meters are less accurate for mixtures of wet and dry grain. This research evaluated the differences between dielectric-type moisture meter results for mixed and equilibrated corn samples at different moisture levels and different measurement frequencies. Equilibrated grain samples tended to give lower moisture results than recently mixed grain samples - especially in the 1 to 10 MHz region. These differences permitted detection of mixtures by using moisture measurements at two frequencies.

scholarly journals Synthesis of a linear static function for grain moisture meter with capacitive sensors

2021 ◽  
pp. 69-72
Author(s):  
Oleksandr Zabolotnyi ◽  
Vitalii Zabolotnyi ◽  
Nicolay Koshevoy
Keyword(s):  
Linear Regression ◽  
Moisture Content ◽  
Capacitive Sensor ◽  
General Linear ◽  
Main Task ◽  
Capacitive Sensors ◽  
Grain Moisture ◽  
Cereal Grain ◽  
Moisture Meter ◽  
Scale Error

Moisture content is a grain quality factor, a parameter which changes during the processes of storage and processing and determines consumer properties of different food products. OIML organization in its international recommendation OIML R59 “Moisture Meters for Cereal Grain and Oilseeds” restricts maximal permissible value of moisture meters uncertainty to not more than 3% of relative full scale error. Main task of the research is in receiving linear static function for the grain moisture meter with four capacitive sensors. Method of Least Squares and general linear regression instruments had been used for that purpose. Analyzing the graphs of modified static function for different moist substances it was possible to say that it happened to be far more effective than initial static function and the static function received from a first-order polynomial after the LS method implementation. Root mean estimator was calculated for initial static function, the static function received with the LS method and static function, received after general linear regression implementation as an integral difference between nominal and calculated values of moisture content. Corresponding root mean estimator values were 1.3062%, 1.1616% and 0.4158%, that proves the effectiveness of a static function modified with the general linear regression instruments. Keywords: moisture content measurement; capacitive moisture meter; reference channel; capacitive sensor; linear static function

scholarly journals Pengaruh kecepatan udara dan massa gabah terhadap kecepatan pengeringan gabah menggunakan pengering terfluidisasi

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
S. Syahrul ◽  
M. Mirmanto ◽  
S. Romdani ◽  
S. Sukmawaty
Keyword(s):  
Moisture Content ◽  
Initial Moisture Content ◽  
National Standards ◽  
Drying Process ◽  
Air Velocity ◽  
Drying Time ◽  
Grain Processing ◽  
Grain Moisture ◽  
Time Required ◽  
Drying Chamber

Grain processing does not meet the actual grain harvests. This is due to the unsuitable drying process. Milling grain entrepreneurs and farmers in Indonesia are currently conducting a drying process under the sun. Based on the National Standards Body (BSN), grain moisture content must be at 14% to maintain the grain at high qualities. The purpose of this study is to determine the effect of velocity and grain mass variations on drying times. The grain used in this study contains an initial moisture content of 22% ± 0.5%. The grain is dried by inserting it into the drying chamber and varying the air velocities and grain mass. The air velocities used are 4 m/s, 5 m/s, 6 m/s and the variations of the grain mass are 1 kg 2 kg and 3 kg. The results show that increasing the air velocity decreases the drying time. On the other hand, when the grain mass is increased, the drying time elevates. The air velocity and mass of the grain that results in the fastest drying time are 6 m/s and 2 kg. The time required for achieving the water content of 13.6% is 30 menit. At the air velocity of 4 m/s, and the grain masses of 1 kg, 2 kg, and 3 kg, to achieve moisture contents of 13.4%, 13.5% and 13.4% the drying time needs 50 minutes.

PARAMETER OPTIMIZATION AND EXPERIMENTAL RESEARCH ON THE HAMMER MILL 锤片式粉碎机参数优化与试验研究

2020 ◽  
pp. 341-350
Author(s):  
Di Wang ◽  
Changbin He ◽  
Haiqing Tian ◽  
Liu Fei ◽  
Zhang Tao ◽  
...  
Keyword(s):  
Moisture Content ◽  
Orthogonal Experiment ◽  
Electricity Consumption ◽  
Spindle Speed ◽  
Hammer Mill ◽  
Factors Affecting ◽  
Evaluation Indexes ◽  
Grain Moisture ◽  
Validation Experiment ◽  
Corn Grain

Low productivity and high electricity consumption are considered problems of the hammer mill, which is widely used in current feed production. In this paper, the mechanical properties of corn grain ground by a hammer mill were analysed, and the key factors affecting the performance of the hammer mill were determined. The single-factor experiment and three-factor, three-level quadratic regression orthogonal experiment were carried out with the spindle speed, corn grain moisture content and number of hammers as experimental factors and the productivity and electricity consumption per ton as evaluation indexes. The results showed that the order of influence on the productivity was spindle speed > corn grain moisture content > number of hammers and that the order of influence on the electricity consumption per ton was corn grain moisture content > spindle speed > number of hammers. The parameters were optimized based on the response surface method with the following results: the spindle speed was 4306 r/min, the corn grain moisture content was 10%, and the number of hammers was 24. The validation experiment was carried out with the optimal parameters’ combination. The productivity and electricity consumption per ton were 988.12 kg/h and 5.37 kW·h/t, respectively, which were consistent with the predicted results of the model.

Effects of Grain Moisture Content on Mechanical Grain Harvesting Quality of Summer Maize

2018 ◽  
Vol 44 (12) ◽  
pp. 1747 ◽  
Author(s):  
Lu-Lu LI ◽  
Jun XUE ◽  
Rui-Zhi XIE ◽  
Ke-Ru WANG ◽  
Bo MING ◽  
...  
Keyword(s):  
Moisture Content ◽  
Summer Maize ◽  
Grain Moisture

scholarly journals Wheat Grinding Process with Low Moisture Content: A New Approach for Wholemeal Flour Production

Processes ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 32
Author(s):  
Waleed H. Hassoon ◽  
Dariusz Dziki ◽  
Antoni Miś ◽  
Beata Biernacka
Keyword(s):  
Particle Size ◽  
Moisture Content ◽  
Average Particle Size ◽  
Average Particle ◽  
Grinding Process ◽  
Mixing Properties ◽  
New Approach ◽  
Grain Moisture ◽  
Flour Production ◽  
And Storage

The objective of this study was to determine the grinding characteristics of wheat with a low moisture content. Two kinds of wheat—soft spelt wheat and hard Khorasan wheat—were dried at 45 °C to reduce the moisture content from 12% to 5% (wet basis). Air drying at 45 °C and storage in a climatic chamber (45 °C, 10% relative humidity) were the methods used for grain dehydration. The grinding process was carried out using a knife mill. After grinding, the particle size distribution, average particle size and grinding energy indices were determined. In addition, the dough mixing properties of wholemeal flour dough were studied using a farinograph. It was observed that decreasing the moisture content in wheat grains from 12% to 5% made the grinding process more effective. As a result, the average particle size of the ground material was decreased. This effect was found in both soft and hard wheat. Importantly, lowering the grain moisture led to about a twofold decrease in the required grinding energy. Moreover, the flour obtained from the dried grains showed higher water absorption and higher dough stability during mixing. However, the method of grain dehydration had little or no effect on the results of the grinding process or dough properties.

Maize grain moisture content correction: From nonstandard to standard system

2021 ◽  
Vol 204 ◽  
pp. 212-222
Author(s):  
Shang Gao ◽  
Bo Ming ◽  
Lu-lu Li ◽  
Rui-zhi Xie ◽  
Ke-ru Wang ◽  
...  
Keyword(s):  
Moisture Content ◽  
Standard System ◽  
Grain Moisture ◽  
Maize Grain
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