caa a22 4500 445864729 CHVBK 20180317145454.0 cr unu---uuuuu 170323e20111001xx s 000 0 eng 10.1007/s11119-010-9215-0 doi (NATIONALLICENCE)springer-10.1007/s11119-010-9215-0 A dynamic grain flow model for a mass flow yield sensor on a combine [Elektronische Daten] [Ryan Reinke, Harry Dankowicz, Jim Phelan, Wonmo Kang] A model is developed to describe the flow of grain through a clean grain elevator system on a combine in order to facilitate accurate mass flow rate estimation. The relationship between mass flow rate and impact force described by the model depends upon machine operational characteristics, mechanical interactions of the grain and the machine geometry, and material properties of the grain. The model was designed to be adaptable to varying grain conditions, such as those influenced by moisture content, by allowing free parameters of the model to be estimated through a nonlinear regression algorithm. Simulations were performed using discrete element modeling software and data was obtained from experiments conducted on a clean grain elevator system at the University of Kentucky Combine Yield Monitor Test Facility to determine the ability of the model to accurately estimate mass flow rate. The model estimated mass flow rate with a normalized root mean squared residual (NRMSR) less than 2% for discrete element modeling simulations. For experiments involving machine components, NRMSR values were less than 3% for corn at 14% moisture, less than 3% for corn at 21% moisture, and less than 5% for corn at 26% moisture. Springer Science+Business Media, LLC, 2011 Flow sensor nationallicence Impact plate nationallicence Nonlinear regression nationallicence Discrete element modeling nationallicence Experiments nationallicence Reinke Ryan Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 W Green St, 61801, Urbana, IL, USA aut Dankowicz Harry Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 W Green St, 61801, Urbana, IL, USA aut Phelan Jim John Deere Moline Technology Innovation Center, 1 John Deere Place, 61265, Moline, IL, USA aut Kang Wonmo Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 W Green St, 61801, Urbana, IL, USA aut Precision Agriculture Springer US; http://www.springer-ny.com 12/5(2011-10-01), 732-749 1385-2256 12:5<732 2011 12 11119 https://doi.org/10.1007/s11119-010-9215-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11119-010-9215-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Reinke Ryan Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 W Green St, 61801, Urbana, IL, USA aut NATIONALLICENCE 700 1- Dankowicz Harry Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 W Green St, 61801, Urbana, IL, USA aut NATIONALLICENCE 700 1- Phelan Jim John Deere Moline Technology Innovation Center, 1 John Deere Place, 61265, Moline, IL, USA aut NATIONALLICENCE 700 1- Kang Wonmo Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 W Green St, 61801, Urbana, IL, USA aut NATIONALLICENCE 773 0- Precision Agriculture Springer US; http://www.springer-ny.com 12/5(2011-10-01), 732-749 1385-2256 12:5<732 2011 12 11119 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer