Plant Model Development for a Biomass Spout
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Since 1905, the Department of Agricultural Engineering, now the Department of Agricultural and Biosystems Engineering (ABE), has been a leader in providing engineering solutions to agricultural problems in the United States and the world. The department’s original mission was to mechanize agriculture. That mission has evolved to encompass a global view of the entire food production system–the wise management of natural resources in the production, processing, storage, handling, and use of food fiber and other biological products.
History
In 1905 Agricultural Engineering was recognized as a subdivision of the Department of Agronomy, and in 1907 it was recognized as a unique department. It was renamed the Department of Agricultural and Biosystems Engineering in 1990. The department merged with the Department of Industrial Education and Technology in 2004.
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1905–present
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- Department of Agricultural Engineering (1907–1990)
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- College of Agriculture and Life Sciences (parent college)
- College of Engineering (parent college)
- Department of Industrial Education and Technology, (merged, 2004)
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Abstract
As a greater desire for real-time modeling of infield, machine interactions increases it becomes important to develop models for some of the previously ignored mechanical systems. In addition, development of system models can reveal opportunities for performance improvement and innovation. A practical approach to modeling was exercised in developing a representative model of a biomass unloading system. The system consisted of a forage harvester spout with three degrees of freedom: rotate (clockwise and counter-clockwise), tilt, and flap. These allow for ease of material placement by the operator but add a level of difficulty to the modeling process. Practical, in this case, means taking machine data and using that data to determine appropriate model form and corresponding coefficients; typically this method is called empirical modeling. The resulting model developed for the spout founded upon empirical modeling techniques exemplifies an accurate representation of a true physical system.
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This is an ASABE Meeting Presentation, Paper No. 1111399.