scholarly journals Developing an Online Measurement Device Based on Resistance Sensor for Measurement of Single Grain Moisture Content in Drying Process

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4102 ◽  
Author(s):  
Chengjie Li ◽  
Bin Li ◽  
Junying Huang ◽  
Changyou Li
Keyword(s):  
Moisture Content ◽  
Real Time ◽  
Calculation Method ◽  
Measurement Properties ◽  
Dynamic Resistance ◽  
Online Measurement ◽  
Drying Process ◽  
Measuring Device ◽  
Grain Moisture ◽  
Single Grain

The online measurement of moisture content for grains is an essential technology to realize real-time tracking and control, improve drying quality and reduce energy consumption of the drying process. To improve the measurement accuracy and reliability of the dynamic measurement process as well as expand the application scope of the device, the present work constructed an experimental equipment for determining dynamic resistance characteristics of a single grain. The relations between moisture content and real-time resistance waveform were revealed, and an analytical calculation method of peak value and peak area of waveform was proposed, which correctly revealed the electrical measurement properties of grain. The results demonstrated that the gap width between the electrodes had large influence on the sensor’s performance. Moreover, an online measuring device was developed based on the experimental analysis and calculation method, and the test results in both lab and field for different grains showed that online real-time absolute measurement error are within ±0.5% in the varied moisture content (10–35%w.b.) and the temperature (−20–50 °C). The main results and the developed device might provide technical support for developing intelligent grain drying equipment.

scholarly journals RF signal calibration for improvement of 3D mapping image to locate moisture distribution in rice silo

2021 ◽  
Vol 2107 (1) ◽  
pp. 012059
Author(s):  
A A Almaleeh ◽  
A Zakaria ◽  
M H F Rahiman ◽  
Y B Abdul Rahim ◽  
L Munirah ◽  
...  
Keyword(s):  
Moisture Content ◽  
Real Time ◽  
Current Method ◽  
Moisture Distribution ◽  
Rice Grain ◽  
Tomographic Images ◽  
Grain Moisture ◽  
A New Technique ◽  
Assurance Process ◽  
Rf Signal

Abstract Grain storage is an important part of the post-harvest quality assurance process. The moisture level of the grains during storage is one of the primary problems. The current method of measuring rice grain moisture content is based on random sampling, which is relatively localised, and there is no real-time moisture content measurement available. The RF signal was used to build a new technique for detecting moisture and its presence in rice in real-time in this paper. The mapping of an RF signal, in particular, can be transformed into volumetric tomographic images that can be used to forecast moisture distribution.

Glass Transition Temperature, Mechanical Properties of Rice and their Relationships with Milling Quality

2012 ◽  
Vol 8 (3) ◽  
Author(s):  
Kobra Tajaddodi Talab ◽  
Mohd. Nordin Ibrahim ◽  
Sergey Spotar ◽  
Rosnita A. Talib ◽  
Kharidah Muhammad
Keyword(s):  
Mechanical Properties ◽  
Glass Transition ◽  
Moisture Content ◽  
Bending Strength ◽  
Bending Test ◽  
Transition Line ◽  
Transition Temperatures ◽  
Drying Process ◽  
Glass Transition Temperatures ◽  
Grain Moisture

Abstract Glass transition temperatures (Tg) of MR219 rice variety were measured by differential scanning calorimeter (DSC). State diagram was developed and used to evaluate drying process in this study. Glass transition temperatures range of 9.65- 61.79°C were observed for gains with moisture content of 26.8 – 7.4% (w.b.). For mechanical properties and milling test, statistical analysis was performed by using a two factor experiment in completely randomized design (CRD). Two selected factors were drying temperatures at 5 levels (40, 45, 50, 55, and 60°C) and final moisture content (FMC) at 4 levels (10-10.5, 11-11.5, 12-12.5 and 13-13.5%). Three–point bending test was applied to measure the mechanical properties of rice kernel. Generally, bending strength, apparent modulus of elasticity and fracture energy of brown rice kernel increased with decreasing the grain moisture content. Maximum bending strength was 35.69 and 33.64 MPa for 55, and 60°C, respectively. All samples that were dried at 55 and 60°C experienced to go through the glass transition line after reaching their temperature to the room temperature at the end of drying process. The effect of drying temperature, paddy FMC and their interactions on whole kernel percentage (WKP) and mechanical properties were significant (α = 0.05). An inverse relationship was observed between WKP and the percentage of strong kernels for all treatments.

Portable Wireless Yield Monitoring System on Conventional Rice Combine

2021 ◽  
Vol 37 (1) ◽  
pp. 193-203
Author(s):  
Renny Eka Purti ◽  
Azmi Yahya ◽  
Oh Yun Ju ◽  
Maryam Mohd Isa ◽  
Samsuzana Abdul Aziz
Keyword(s):  
Moisture Content ◽  
Embedded System ◽  
Real Time ◽  
Crop Yield ◽  
Field Capacity ◽  
Base Station ◽  
Grain Moisture ◽  
The Embedded System ◽  
Yield Monitoring ◽  
Grain Elevator

Abstract. A simple, portable, and rugged instrumentation system has been successfully developed and field demonstrated to monitor, measure, and record the harvested crop yield and selected machine field performance parameters from the typical rice combines in Malaysia. The complete system comprises of two ultrasonic sensors located at the combine header to measure the cutting width, microwave solid flow, and microwave moisture sensors at the combine clean grain auger to measure the flow rate and moisture content of the cleaned grains going into the grain tank, electromagnetic detector on the combine grain elevator drive shaft to monitor the grain elevator rotational speed, and lastly a DGPS receiver on the combine console roof to indicate the travel speed and geo-position in the field. All these measured parameters were made to display in-real time on the touch panel screen of the embedded system on-board the combine for the interest of the combine operator and also made to display in-real time on the monitor of the toughbook at the on-ground base station for the interest of the system controller. Static calibrations on the individual sensors showed excellent measurement linearity having R2 values within 0.8760 to 1.000 ranges. The wireless communication between the embedded system on-board the combine and the toughbook at the on-ground base station could be sustained to a maximum distance of 185 m apart. Site specific variability maps of crop yield, harvested grain moisture content, combine cutting width, combine traveling speed, combine field capacity, and combine field efficiency within the harvested area could be produced from the data obtained with the instrumentation system using a GIS software. Keywords: Grain harvesting, Paddy mechanization, Precision farming, Wireless data transmission, Yield monitoring.

scholarly journals Dielectric properties of hops – an effect of bulk density

2017 ◽  
Vol 63 (Special Issue) ◽  
pp. S18-S23
Author(s):  
Lev Jakub ◽  
Kumhála František
Keyword(s):  
Dielectric Properties ◽  
Moisture Content ◽  
Bulk Density ◽  
Relative Permittivity ◽  
Loss Factor ◽  
Drying Process ◽  
Material Loss ◽  
Measuring Device ◽  
Temperature Changes ◽  
Strong Linear Correlation

  Continuous detection of basic physical properties of freshly picked and cleaned wet hop cones would be very helpful for better control and automation of harvesting processes. That is why the main aim of this article was to determine the effects of bulk density changes on dielectric properties of freshly picked hop cones. Relative permittivity and loss factor were measured using a newly developed capacitance measuring device. A strong linear correlation between fresh hops relative permittivity and bulk density was found. This finding could be used e.g. for consequent hop drying process control. Significant differences between tested hop varieties were observed for both relative permittivity and loss factor measurements. These differences cannot be explained only by a slightly different moisture content of the measured varieties and ambient temperature changes. Measured material loss factor was only slightly affected by bulk density changes. However, relative permittivity was affected by bulk density changes significantly. These facts could be used for other properties of wet hop cones estimation.  

Test Research and Parameter Analysis of Grain Drying Model

2011 ◽  
Vol 66-68 ◽  
pp. 573-576
Author(s):  
Chun Shan Liu ◽  
Wen Fu Wu ◽  
Jia Yao ◽  
Ya Qin Li ◽  
Chuang Liu
Keyword(s):  
Moisture Content ◽  
Air Temperature ◽  
Air Flow ◽  
Parameter Analysis ◽  
Mathematics Model ◽  
Drying Process ◽  
Drying Time ◽  
Hot Air ◽  
Grain Moisture ◽  
Grain Drying

The purpose of this study is to explore the effecting principle in the drying process. The factors such as hot air temperature, hot air flow, drying time on the grain moisture content have been all investigated. Using UD to establish the optimization mathematics model which making the grain dryer moisture content as the goal of the design, making the factors of hot air flow, drying time, air temperature as parameters, with the help of UD to analysis the effecting principle of the drying process parameters on the grain moisture content, some references have been provided to the tower dryer.

Real‐time detection system for moisture content and color change in Jujube Slices during drying Process

2021 ◽  
Author(s):  
Yong‐zhen Zang ◽  
Xue‐Dong Yao ◽  
Yu‐xue Cao ◽  
Yu‐bao Niu ◽  
Huan Liu ◽  
...  
Keyword(s):  
Moisture Content ◽  
Real Time ◽  
Color Change ◽  
Detection System ◽  
Drying Process ◽  
Real Time Detection

scholarly journals Purwarupa dan Kinerja Pengering Gabah Hybrid Solar Heating dan Photovoltaic Heater dengan Sistem Monitoring Suhu

2020 ◽  
Vol 12 (1) ◽  
pp. 24-32
Author(s):  
Usman Usman ◽  
Akhyar Muchtar ◽  
Umar Muhammad ◽  
Nunik Lestari
Keyword(s):  
Moisture Content ◽  
Initial Moisture Content ◽  
Electrical Energy ◽  
Temperature Monitoring ◽  
Solar Panels ◽  
Drying Process ◽  
Grain Moisture ◽  
Measurement Tools ◽  
Drying Efficiency ◽  
And Control

Grain drying is a process to reduce grain moisture content to certain conditions, so the grain can last longer in storage. The grain dryer model used in this research was Indirect Type Solar Dryer (ITSD). In order to make this dryer can work at night, heating element that used electrical energy from solar panels was added. This energy is a renewable and environmentally friendly energy. This dryer was equipped with a temperature monitoring system and control of the photovoltaic heater. The results of temperature monitoring and voltage sensors to controlling photovoltaic heaters based on validation are categorized as work measurement tools, because they have an error of 0.5% – 2%. Whereas the relay works when the battery voltage is 11 - 10.9 V. This dryer can dry grain to reach a moisture content of 14.90% from initial  moisture content of 48.46%. The drying process lasts for 11 hours, which is 7 hours using solar energy and 4 hours using photovoltaic heaters. The average temperature produced by dryer system during the drying process is 35.28 °C with a drying efficiency of 60.14%.

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.

Development of an Eighth-scale Grain Drying System with Real-time Microwave Monitoring of Moisture Content

2019 ◽  
Vol 35 (5) ◽  
pp. 767-774
Author(s):  
Micah A. Lewis ◽  
Samir Trabelsi ◽  
Stuart O. Nelson
Keyword(s):  
Relative Humidity ◽  
Moisture Content ◽  
Real Time ◽  
Real Time Monitoring ◽  
Seed Moisture Content ◽  
Moisture Sensor ◽  
Grain Moisture ◽  
Cereal Grain ◽  
Grain Drying ◽  
Drying System

Abstract. After being harvested, cereal grain and oilseed are stored and dried in large cylindrical storage bins. Drying is necessary to prevent spoilage and degradation; however, because of the significant depth of material in the drying bin, a common problem in grain and oilseed drying is overdrying the bottom layer while trying to dry the top layer. This is due to insufficient knowledge of moisture throughout the bin. In some cases, an operator is limited to probing reachable locations to determine moisture content. However, this does not lend to observing the dynamics of moisture content within the bin continuously, and the lower layers of grain or seed within the bin are susceptible to being overdried. Temperature and/or moisture cables to monitor conditions throughout the bin are more widely used. These sensors use a correlation between grain moisture content and temperature and relative humidity. However, error in moisture content determination increases greatly at high relative humidity and/or temperature. By using a microwave moisture sensor operating at 5.8 GHz, developed within USDA ARS, the moisture content of the cereal grain or oilseed can be measured continuously, providing real-time moisture content with 12-s resolution. An automated, eighth-scale grain drying system was developed utilizing temperature and relative humidity sensors at different heights within the grain bin and the microwave moisture sensor to observe drying parameters and moisture migration as the grain or seed dried. Grain and seed moisture content was determined in real-time with a standard error of calibration of = 0.54% moisture content when compared to the reference oven-drying method. Overall evaluation showed that the automated grain drying system is an effective solution for real-time monitoring of moisture content and other parameters during drying. Keywords: Dielectric properties, Grain drying bin, Moisture content, Microwave sensing, Real-time monitoring, Sensors.

scholarly journals Design and implementation of smart and automatic oven for food drying

2021 ◽  
Vol 54 (3-4) ◽  
pp. 396-407
Author(s):  
Mehmet Tümay ◽  
Halil Murat Ünver
Keyword(s):  
Moisture Content ◽  
Real Time ◽  
Fruits And Vegetables ◽  
Total Duration ◽  
Drying Process ◽  
Drying Time ◽  
Fresh Vegetables ◽  
System Solution ◽  
Drying Model ◽  
Vegetables And Fruits

Fruits and vegetables ripen at certain times of the year and must be ripe for consumption. However, in the short-term ripening period, some of the fresh vegetables and fruits that are more than the consumable amount deteriorate before they can be consumed. Picking up fruits and vegetables when they are ripe and drying the surplus for later use is the most common storage method. In recent years, where technology has developed rapidly, instead of drying in the sun, solutions are produced in which the drying processes are managed automatically by using the drying kinematics of the products. The most recent techniques manage the drying process by measuring the weight of the wet and dried products during heating. Also, different types of ovens such as microwave ovens are tried to increase the efficiency of the drying process. These are rather complex solutions. In this study, a smart system that manages the drying process in real-time by using the humidity in the environment instead of weight together with the drying kinematics of the product is designed. So the complexity of the system is simplified. Also, the total duration of the drying process is exactly estimated by using the moisture content in the environment and the drying model of the product. In the study, firstly, data on the drying stage were collected with the experiments made for each product. These data were processed in a Matlab environment and a drying model with a curve fitting method was developed for each product. The drying models developed in the study were loaded into the processor of the smart oven and the entire drying process was managed in real-time. With the developed system solution, when the process is started, the drying time is estimated according to the amount processed and the type of product, and the drying time of the drying process is estimated by using the moisture content in the environment and the drying model of the product. In this way, pre-drying and post-drying stages can be planned.

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