Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    Parameter estimation using heat transfer models with experimental data using a combined ann-Bayesian approach
    (Begell House Inc., 2014) Gnanasekaran, N.; Shankar, N.T.; Balaji, C.
    A hybrid approach, wherein Markov Chain Monte Carlo simulations are used in a Bayesian framework, in conjunction with artificial neural networks (ANN) is developed for solving an inverse heat conduction problem. Steady state three-dimensional heat conduction from a Teflon cylinder with uniform volumetric internal heat generation is considered. The goal is to estimate qv, given the heat transfer coefficient h, the thermal conductivity k and temperature data at certain fixed locations on the surface of the cylinder. For the purposes of establishing the soundness and efficacy of the approach, temperatures obtained by a numerical solution to the governing equation for known values of the parameter qv are first used to retrieve the quantities of interest, followed by retrievals with actual measurements. In order to significantly reduce the computational time associated with the MCMC simulations, first, a neural network is trained with limited number of solutions to the forward model. This serves as a surrogate to replace the forward model (conduction equation) during the process of retrievals with Markov Chain Monte Carlo simulations in a Bayesian framework. The performance of the proposed hybrid technique is evaluated for different cases.
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    Hybrid Electric Bicycle with Regeneration Capability
    (Springer Science and Business Media Deutschland GmbH, 2021) Koppolu, P.K.; Cmc, K.; Jagtap, A.; Dharmadikari, R.; Gajare, T.
    This paper presents a method to make a hybrid electric bicycle by modifying the existing conventional bicycle keeping the ability to pedal. The cycle consists of a battery, motor drive, which comprises a DC–DC converter for the motor, as well as regenerative braking. This cycle has a unique feature of exercise mode where the user can charge the battery as in stationary cycles in the gymnasium. The bicycle covers 28 km with a maximum speed of 23 km/h. In one charge which is sufficient from a city point of view, where pollution and traffic congestion is a significant concern these days. This paper also presents mechanical designs, electronics design of DC–DC converter, power supply, and a microcontroller with test results. © 2021, Springer Nature Singapore Pte Ltd.