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Time Step Sensitivity Analysis of a Flow-Driven Savonius Rotor

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dc.contributor.author Ahmad Zakaria, Mohd Shahrul Nizam Ibrahim
dc.contributor.author (UniKL MIDI)
dc.date.accessioned 2018-12-28T04:23:05Z
dc.date.available 2018-12-28T04:23:05Z
dc.date.issued 2018
dc.identifier.uri http://ir.unikl.edu.my/jspui/handle/123456789/20717
dc.description.abstract The difficulty in choosing the right combination of time step and time increment in simulating a flow driven rotating rotor is stemmed from the wind speed dependent time constant. This is the time taken for the rotor to reach its stable rotational speed. Therefore, a combination of time step and time increment for one wind speed may not work for other wind speeds. A CFD sensitivity analysis of a Savonius rotor is conducted in this study. The prime objective was to improve its simulation accuracy in predicting the rotor rotational speed by manipulating the time step for a wind speed range of 2 to 6m/s. An optimum combination of time step and time increment for minimum error for first obtained by CFD analysis. Based on a reference parameter of 6m/s wind speed, other time step for 2,3,4 and 5m/s wind speeds were calculated using the number of revolutions required to reach a steady state rotational speed. The resulted rotational speeds generated were then compared with the actual experiment in an open circuit wind tunnel. It is observed that the rotor only starts to rotate just after zero-time step and gradually accelerates until it reaches a constant rotational speed. Consequently, higher time step is required for low speeds and the converse is true for the high speeds. Lower time step can result in non-convergence solution. The result shows that the predicted RPM of Savonius rotor can be made close to the experimental data at the expense of higher computing time. Accuracy of predicted RPM is within 5% as compared to 20% without sensitivity analysis. en_US
dc.title Time Step Sensitivity Analysis of a Flow-Driven Savonius Rotor en_US
dc.conference.name 4th Int. Conf. on Mechanical Manufacturing and Plant Engineering ICMMPE en_US
dc.conference.year 2018 en_US


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