scholarly journals Moisture content measurement of stacked wood with electro-magnetic waves

2016 ◽  
Vol 64 (2) ◽  
pp. 39
Author(s):  
Balázs MAJOR ◽  
Ferenc DIVÓS
Keyword(s):  
Moisture Content ◽  
Content Measurement ◽  
Electro Magnetic ◽  
Moisture Content Measurement ◽  
Magnetic Waves

<p class="p1">A faanyag átvétele során visszatérő probléma, hogy a teherautókon szállított tűzifának illetve rostfának csak a tömegét tudják gyorsan és pontosan megmérni, a felhasználót viszont a szárazanyag-tartalom érdekli, az alapján kíván fizetni. Ez különösen igaz a fatüzelésű erőművekre, forgácslap-gyárakra. A mai nedvességtartalom mérési módszerek nem elég gyorsak, pontosak, megbízhatóak.</p><p class="p2">Kutatásunk során egy rönktéren álló sarang vizsgálata történt, az erre a célra fejlesztett, 868 MHz-en működő eszközzel. Ezzel az eszközzel – reményeink szerint – a nedvességtartalom mérések gyorsabban, pontosabban, és már a teherautón is elvégezhetőek. Célunk volt megtudni, hogy az amplitúdó mérési módszer alkalmas-e sarangok nedvességtartalmának meghatározására. Az általunk vizsgált legszélesebb, 1 m-es sarangnál és egy 1,85 m-es rönknél is jó eredményeket kaptunk.</p><p> </p>

Municipal solid waste in situ moisture content measurement using an electrical resistance sensor

2003 ◽  
Vol 23 (7) ◽  
pp. 667-674 ◽  
Author(s):  
Nitin A. Gawande ◽  
Debra R. Reinhart ◽  
Philip A. Thomas ◽  
Philip T. McCreanor ◽  
Timothy G. Townsend
Keyword(s):  
Moisture Content ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Electrical Resistance ◽  
Content Measurement ◽  
Moisture Content Measurement

New Technology and Applications on Microwave Sensor for Moisture Content Measurement

2011 ◽  
Vol 230-232 ◽  
pp. 1019-1023
Author(s):  
Yu Chi Leng ◽  
Wei Liu
Keyword(s):  
Moisture Content ◽  
New Technology ◽  
Dual Frequency ◽  
Yellow Poplar ◽  
Moisture Sensor ◽  
Content Measurement ◽  
Microwave Sensor ◽  
Artificial Neural Network Ann ◽  
Circular Microstrip Antenna ◽  
Moisture Content Measurement

This paper presents the new technology and applications on microwave sensor for moisture content measurement. A dual-frequency microwave sensor based on circular microstrip antenna has been developed to measure moisture content(MC) of lossy liquids. The experiment is based on measurements of far-field reflection at two frequencies in the X-band,8.48 and 10.69GHz. Moisture content of the rubber latex samples can be determined with a standard error 0.49%.A prototype microwave based moisture sensor system suitable for the kiln drying of hardwood lumber has been developed. Using the prototype electronics and sensors, have obtained measurements of MC over the above MC range for red oak and yellow poplar with standard deviations of less than 1.5% MC at 4.5 to 6GHz.A smart active microwave sensor for measuring the moisture content of felts used in the paper milling industry and more generally of sheet-like materials is presented. An inversion procedure based on an Artificial Neural Network (ANN) approach is proposed in order to determine the moisture content of the felts. Finally the technical challenges and developing prospect of microwave sensors for Moisture Content Measurement are discussed.

scholarly journals An Infra-Red Heating Based Fast Method of Moisture Content Measurement and Its Application to Measure Blend Proportion of Polyester-Viscose Woven Fabrics

2010 ◽  
Vol 5 (2) ◽  
pp. 155892501000500
Author(s):  
V.K. Kothari ◽  
Kausik Bal
Keyword(s):  
Moisture Content ◽  
Woven Fabrics ◽  
Infrared Heating ◽  
Fast Method ◽  
Regression Equations ◽  
Drying Time ◽  
Content Measurement ◽  
Measured Moisture Content ◽  
Moisture Content Measurement ◽  
Blend Proportion

Moisture content values of plain woven fabrics of polyester-viscose blended yarns were measured using standard conditioning procedures as well as a new method of preconditioning of samples using infrared heating and subsequent conditioning in a desiccator for a specific conditioning time. The effects of drying time and conditioning time on measured moisture content values were studied and optimization of these parameters were done. Results of the moisture content measurement using these methods show a sufficiently linear relationship between measured moisture content and the proportion of viscose in the fabric samples. The regression analysis showed very high coefficients of determination (above 0.98) in all cases. Regression equations were used to predict the blend proportion of fabric samples from the moisture content data. It was found that even the moisture content values using a shorter conditioning time of 60 minutes and even 10 minutes yielded correct prediction with a maximum error of magnitude less than 3.0 in blend percentage values.

scholarly journals Soil moisture content measurement using optical fiber long period gratings

2017 ◽  
Author(s):  
J. S. Hallett ◽  
M. Partridge ◽  
S. W. James ◽  
D. Tiwari ◽  
T. Farewell ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Optical Fiber ◽  
Soil Moisture Content ◽  
Long Period ◽  
Content Measurement ◽  
Long Period Gratings ◽  
Moisture Content Measurement

Cloud-based application for rice moisture content measurement using image processing technique and perceptron neural network

2017 ◽  
Author(s):  
Febus Reidj G. Cruz ◽  
Dionis A. Padilla ◽  
Carlos C. Hortinela ◽  
Krissel C. Bucog ◽  
Mildred C. Sarto ◽  
...  
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Moisture Content ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Content Measurement ◽  
Moisture Content Measurement
Sign in / Sign up

Export Citation Format

Share Document