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Cutting of stalk material is a core process within the whole harvesting period. During the entire harvesting, every stalk is cut at least one time. For other agricultural processes, such as grain crop harvesting or mulching of brownfields, cutting processes belong also to the main techniques. They have a significant influence on the efficiency and profitability of agricultural machines. Minimizing wear has a high level of importance regarding an environmental friendly and resource efficient agriculture. Wear during agricultural cutting processes is mainly caused due to abrasion and impact stress. Blunt and deformed blades affect the energy efficiency and the cutting quality. The increase of fuel consumption and frequent machine breakdowns with an involvement of high labor and material costs generate considerable economic losses. A consequent, methodical optimization of the wear behavior of the blades can offer a high saving potential of ecological and economic resources. The blade geometry, base material and heat respectively surface treatment substantially determine the wear resistance. Under technological and economic considerations these parameters have to be optimized. Therefore, a test method has been developed at the FMDauto in cooperation with the Ennepetaler Schneid- und Mähtechnik (ESM) GmbH & Co KG. The test bench enables to test different blades of agricultural machines under standardized and repeatable conditions. This paper presents the test bench and the results of several wear tests. The examinations of the abrasive wear and the impact stress on cutter blades are shown. Algorithms developed at FMDauto are used to analyze the results. It is carried out that further developments of the analyzing methods to describe the sharpness and disruptions of cutter blades are reasonable.
Kinematic Simulation of a loaded Truck Skip Loader – Kinematic and Kinetic Analysis of Mechanisms
(2008)
Es wird gezeigt, wie ein Schnittprozess aus dem Bereich der Erntetechnik mit dem Mehrkörpersimulationsprogramm SimMechanics simuliert werden kann. Ziel ist es, im Rahmen des Forschungsvorhabens eine Grundlage zu schaffen für die virtuelle Bestimmung der erforderlichen Antriebsleistung und Optimierung von Mähdrescherhäckslern hinsichtlich einer nachhaltigen und Ressourcen schonenden Leistungssteigerung.
This study investigates heat transfer enhancement in magneto-nanofluidic systems through the strategic placement of adiabatic blocks in grooved channels. Using CuO–H2O nanofluid in a bottom-heated channel with circular expansion, we examine the complex interactions between forced convection, magnetic fields, and uoyancy effects. Through systematic numerical analysis, we explore the combined influences of Rayleigh, Reynolds, and Hartmann numbers on thermal performance. Our findings reveal significant heat transfer enhancement (up to 137 %) under optimal conditions, particularly with vertical magnetic field orientation at Re = 100 and Ha = 30. The results demonstrate how adiabatic blocks modify flow structures, with larger blocks diminishing vortex intensity while elevated Ra generates secondary vortices that interact with primary circulations. Magnetic field effects show notable dependence on orientation, with vertical fields generally promoting better heat transfer than horizontal configurations. To complement the numerical analysis, we develop a predictive model using Artificial Neural Network (ANN) for Nusselt numbers across various operating conditions, achieving over 99 % accuracy. The integrated computational-ANN approach offers significant advancements in optimizing thermal systems in various areas, ranging from electronics cooling to microfluidic devices.
Evaluating the Effectiveness of Virtual Listening Tests for Balanced Armature Headphone Drivers
(2025)
Der Einsatz moderner Simulationsverfahren beschränkt sich im Bereich der Landmaschinenentwicklung in der Regel auf Anwendungen, die aus der Automobiltechnik bekannt sind. Darüber hinaus könnten diese Verfahren auch im Rahmen der Auslegung von Erntemaschinen hinsichtlich des Ernteprozesses einen maßgeblichen Beitrag zur weiteren Ressourcenschonung und Energieverbrauchsminderung leisten. Im Folgenden wird ein Ansatz zur Simulation erntetechnischer Schnittprozesse mit Hilfe der Mehrkörpersimulation (MKS) vorgestellt. Ferner soll die Anwendung der Strömungssimulation (CFD) am Beispiel eines Schlegelhäckslers gezeigt werden.