Abstract
In the present research the Mathematical Modeling & Simulation of Chaff Cutter Energized by Human Powered Flywheel Motar has been studied. The machine system consists of a Human Powered Flywheel Motor as energy source. This source comprises of a Bicycle-drive mechanism with speed increasing gearing and a Flywheel. This energy source energizes the process unit through a spiral jaw clutch and torque-amplification gearing. The operator pumps human energy to the flywheel at a convenient input power level for about one minute. After enough energy is stored, pedaling is stopped and the energy in the flywheel is made available to the process unit by engaging the spiral jaw clutch[1].
An approximate generalized experimental data based models for the Human Powered Chaff cutting machine system has been established for responses of the system such as resistive torque, number of cuts and process time during one energization of the flywheel. On the basis of these models, optimal values of various independent dimensionless ratios were established to optimize the performance of this system. An Artificial Neural Network simulation has been developed for the phenomenon which truly represents the degree of interaction of various independent variables. The approximate generalized experimental data based models established in this research are amply validated by experimental findings.
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Zakiuddin, K.S., Singh, M.P., Modak, J.P. (2019). Mathematical Modeling & Simulation of Chaff Cutter Energized by Human Powered Flywheel Motar. In: Uhl, T. (eds) Advances in Mechanism and Machine Science. IFToMM WC 2019. Mechanisms and Machine Science, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-20131-9_350
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DOI: https://doi.org/10.1007/978-3-030-20131-9_350
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