EJPAU 2007. Tomkiewicz D. , Ryniecki A. ON-LINE ESTIMATION OF THE MOISTURE CONTENT OF GRAIN DURING NEAR-AMBIENT DRYING ON THE BASIS OF THE DRYING AIR TEMPERATURE CHANGES

Electronic Journal of Polish Agricultural Universities (EJPAU) founded by all Polish Agriculture Universities presents original papers and review articles relevant to all aspects of agricultural sciences. It is target for persons working both in science and industry,regulatory agencies or teaching in agricultural sector. Covered by IFIS Publishing (Food Science and Technology Abstracts), ELSEVIER Science - Food Science and Technology Program, CAS USA (Chemical Abstracts), CABI Publishing UK and ALPSP (Association of Learned and Professional Society Publisher - full membership). Presented in the Master List of Thomson ISI.

2007
Volume 10
Issue 3

Topic:

Agricultural Engineering

ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES

Tomkiewicz D. , Ryniecki A. 2007. ON-LINE ESTIMATION OF THE MOISTURE CONTENT OF GRAIN DURING NEAR-AMBIENT DRYING ON THE BASIS OF THE DRYING AIR TEMPERATURE CHANGES, EJPAU 10(3), #03.
Available Online: http://www.ejpau.media.pl/volume10/issue3/abs-03.html

ON-LINE ESTIMATION OF THE MOISTURE CONTENT OF GRAIN DURING NEAR-AMBIENT DRYING ON THE BASIS OF THE DRYING AIR TEMPERATURE CHANGES

Dariusz Tomkiewicz¹, Antoni Ryniecki²
¹ Department of Control Systems Engineering, University of Technology in Koszalin, Poland
² Institute of Food Technology of Plant Origin, Agricultural University of Poznan, Poland

ABSTRACT

The post-harvest drying and cooling of cereal grain in silos are becoming an increasingly popular methods of grain preservation for long-term storage. Grain in silos is dried in a thick layer and, in order to reduce costs of this process, an low-cost and reliable method for the measuring of changes in the moisture content in the grain bed is needed. Acting on the assumption that the drying air enthalpy during this process does not change the authors presents in this article a stochastic mathematical model allowing moisture content estimation on the basis of the drying air temperature changes.

Key words: deep bed drying, stochastic model, monitoring of the moisture content.

Dariusz Tomkiewicz
Department of Control Systems Engineering,
University of Technology in Koszalin, Poland
Racławicka 15-17, 75-620 Koszalin, Poland
Phone: (+48 94) 347 82 72
email: dariusz.tomkiewicz@tu.koszalin.pl

Antoni Ryniecki
Institute of Food Technology of Plant Origin,
Agricultural University of Poznan, Poland
Wojska Polskiego 31, 60-624 Poznan, Poland
Phone:(+48 61) 848 72 69
email: ryniecki@au.poznan.pl

Responses to this article, comments are invited and should be submitted within three months of the publication of the article. If accepted for publication, they will be published in the chapter headed 'Discussions' and hyperlinked to the article.