Faculty Publications
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Item Chassis mounted single stage impulse turbine for wind energy harvesting on a cruising transport vehicle(Institute of Electrical and Electronics Engineers Inc., 2016) Hegde, S.S.; Thamban, A.; Ahmed, A.; Arun, M.Fossil fuels have been a means of energy source since a long time, and have tended to the needs of the large global population. These conventional sources are bound to deplete in the near future and hence there is a need for producing energy from renewable energy sources like solar, wind, geothermal, tidal etc. Technologies involving renewable energy are a growing subject of concern. The problem is the excessive pollution caused by conventional sources of energy and their impact on the environment. In particular, one of the main sources of pollution is harmful gases emitting out of automobiles. Wind energy is one among the renewable energy sources which is implemented in large scale energy production. A large amount of research has been done in this field to harness energy and power houses and other amenities are nearby wind farms. The purpose of this study is to consider the use of wind energy along with conventional energy sources to power automobiles. Specifically the concept of an impulse turbine mounted on the chassis of a typical vehicle structure is considered. Computational Fluid Dynamics (CFD) is used to validate the concept and also come up with a design that maximizes energy generation by such turbines. © 2015 IEEE.Item A study of influence of material properties on magnetic flux density induced in magneto rheological damper through finite element analysis(EDP Sciences edps@edpsciences.com, 2018) Gurubasavaraju, T.M.; Kumar, K.; Arun, M.Magnetorheological fluids are smart materials, which are responsive to the external stimulus and changes their rheological properties. The damper performance (damping force) is dependent on the magnetic flux density induced at the annular gap. Magnetic flux density developed at fluid flow gap of MR damper due to external applied current is also dependent on materials properties of components of MR damper (such as piston head, outer cylinder and piston rod). The present paper discus about the influence of different materials selected for components of the MR damper on magnetic effect using magnetostatic analysis. Different materials such as magnetic and low carbon steels are considered for piston head of the MR damper and magnetic flux density induced at fluid flow gap (filled with MR fluid) is computed for different DC current applied to the electromagnetic coil. Developed magnetic flux is used for calculating the damper force using analytical method for each case. The low carbon steel has higher magnetic permeability hence maximum magnetic flux could pass through the piston head, which leads to higher value of magnetic effect induction at the annular gap. From the analysis results it is observed that the magnetic steel and low carbon steel piston head provided maximum magnetic flux density. Eventually the higher damping force can be observed for same case. © The Authors, published by EDP Sciences, 2018.Item Estimation of interfacial heat transfer coefficient for horizontal directional solidification of Sn-5wt%pb alloy using genetic algorithm as inverse method(Springer Verlag, 2019) Vishweshwara, P.S.; Gnanasekaran, N.; Arun, M.In the present work, a one-dimensional transient solidification heat transfer problem is solved to determine the unknown interfacial heat transfer coefficient (IHTC) at the mold–metal interface using genetic algorithm (GA), an evolutionary and widely known algorithm, as an inverse method. The forward model is numerically solved to obtain the exact temperatures by incorporating the appropriate correlation for the IHTC that varies with time. In order to mimic experiments, the exact temperatures are then perturbed with the standard deviations of 0.01, 0.02, and 0.03. In the inverse estimation, genetic algorithm is used to minimize the objective function, thereby reducing the error between the measured and the simulated temperatures. The study on the performance parameters of the algorithm is also discussed in detail. © Springer Nature Singapore Pte Ltd. 2019.Item A novel framework for the estimation of interfacial heat transfer coefficient using Bat algorithm during solidification of metal casting(Toronto Metropolitan University, 2019) Vishweshwara, P.S.; Gnanasekaran, N.; Arun, M.In the present work, the interfacial heat transfer coefficient (IHTC) at the mold metal interface is estimated during solidification of Al-4.5wt%Cu alloy using ANN-Bat-Bayesian framework. The forward model comprises of a one dimensional transient governing equation for the solidification of metal casting and is solved using explicit finite difference scheme with the available IHTC correlation from the literature. Within the range of values of constants of IHTC correlation, a set of numerical simulation is performed and corresponding temperature output is trained using Artificial Neural Network (ANN). The network created acts a fast forward model replacing the FDM scheme during IHTC estimation thus reducing computational time. Bat algorithm is used as inverse method along with the Bayesian framework, that drives towards the accurate retrieval of unknown parameters. © 2019, Toronto Metropolitan University. All rights reserved.Item Effect of magnetic permeability, shearing length, and shear gap on magnetic flux density of the magnetorheological damper through finite element analysis(Elsevier Ltd, 2020) Kumar Kariganaur, A.; Kumar, H.; Arun, M.The performance of the magnetorheological (MR) damper is determined based on the damping force of the damper which is used to reduce the unwanted vibrations in the automobile suspension system. In this study, an axisymmetric magnetorheological damper model is analyzed using ANSYS finite element (FE) analysis to simulate a distribution of magnetic field in the fluid flow region. Firstly, the materials used for the fabrication of MR damper such as SA1018 and Aluminium are used for the permeability analysis for applied current in shear mode operation. It is evident from the result that, a material with higher magnetic permeability (SA1018) gives higher magnetic flux density in the fluid flow gap. By using SA1018 material for further study the effect of increase in shear gap and shearing length of the MR damper, there is a exponential decay in the magnetic flux density in the flow gap. And finally, by using the response surface methodology optimum values are obtained for maximum magnetic flux density. © 2020 Elsevier Ltd. All rights reserved.Item Numerical Instability Assessment of Natural Circulation Loop Subjected to Different Heating Conditions(Springer Science and Business Media Deutschland GmbH, 2022) Thimmaiah, S.; Wahidi, T.; Yadav, A.K.; Arun, M.Natural circulation loop (NCL) is a passive system in which the driving action of the buoyancy force establishes fluid circulation by overcoming the frictional force without the help of any external power source. NCLs are prone to several kinds of instabilities due to the nonlinearity of the natural convection process. In fact, it is an inability of NCLs to sustain themselves against small perturbations to which any physical system is subjected. This instability in fluid flow creates flow oscillation, chaotic non-linear dynamic behaviour and flow reversal. In this article, three-dimensional computational fluid dynamics (CFD) numerical simulations have been carried out for a range of supercritical pressures (80 bar to100 bar) and heat inputs (250 W to 2500 W) to do the comparative investigation of instability phenomenon in supercritical CO2-based regular natural circulation loop configured with two different types of heat sources, i.e. heater and isothermal wall at the source with a cold heat exchanger (CHX) at sink. Results show higher instabilities for heater-exchanger loop (Heater-CHX) than an isothermal heater with heat-exchanger loop (ISO-CHX). With an increase in heat input, loops attain stability at a faster rate for a given operating pressure. At a lower heat input, both the loops show bidirectional fluctuation, whereas it is unidirectional at high heat input. Nusselt number shows that the Heater-CHX loop’s heat transfer capability is more compared to ISO-CHX loops. Obtained results are validated with the existing correlations, and a good agreement is obtained. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Item Simultaneous estimation of unknown parameters using a-priori knowledge for the estimation of interfacial heat transfer coefficient during solidification of Sn–5wt%Pb alloy—an ANN-driven Bayesian approach(Springer, 2019) Vishweshwara, P.S.; Gnanasekaran, N.; Arun, M.The present methodology focuses on model reduction in which the prevalent one-dimensional transient heat conduction equation for a horizontal solidification of Sn–5wt%Pb alloy is replaced with Artificial Neural Network (ANN) in order to estimate the unknown constants present in the interfacial heat transfer coefficient correlation. As a novel approach, ANN-driven forward model is synergistically combined with Bayesian framework and Genetic algorithm to simultaneously estimate the unknown parameters and modelling error. Gaussian noise is then added to the temperature distribution obtained using the forward approach to represent real-time experiments. The hallmark of the present work is to reduce the computational time of both the forward and the inverse methods and to simultaneously estimate the unknown parameters using a-priori engineering knowledge. The results of the present methodology prove that the simultaneous estimation of unknown parameters can be effectively obtained only with the use of Bayesian framework. © 2019, Indian Academy of Sciences.Item Inverse approach using bio-inspired algorithm within Bayesian framework for the estimation of heat transfer coefficients during solidification of casting(American Society of Mechanical Engineers (ASME), 2020) Vishweshwara, P.S.; Gnanasekaran, N.; Arun, M.In any parameter estimation problem, it is desirable to obtain more information in one single experiment. However, it is difficult to achieve multiple objectives in one single experiment. The work presented in this paper is the simultaneous estimation of heat transfer coefficient parameters, latent heat, and modeling error during the solidification of Al-4.5 wt %Cu alloy with the aid of Bayesian framework as an objective function that harmoniously matches the mathematical model and measurements. A 1D transient solidification problem is considered to be the mathematical model/forward model and numerically solved to obtain temperature distribution for the known boundary and initial conditions. Genetic algorithm (GA) and particle swarm optimization (PSO) are used as an inverse approach and the estimation of unknown parameters is accomplished for both pure and noisy temperature data. The use of Bayesian framework for the estimation of unknown parameters not only provides the information about the uncertainties associated with the estimates but also there is an inherent regularization term in which the inverse problem boils down to well-posed problem thereby plethora of information is extracted with less number of measurements. Finally, the results of this work open up new prospects for the solidification problem so as to obtain a feasible solution with the present approach. © © 2020 by ASMEItem Vibration analysis of fully and partially filled sandwiched cantilever beam with magnetorheological fluID(Taylor's University, 2020) Srinivasa, N.; Gurubasavaraju, T.M.; Kumar, H.; Arun, M.This paper presents the experimental and computational study on damping effect of the fully and partially filled sandwich cantilever beams. The sandwich beams referred as adaptive beams have a core layer filled with magnetorheological fluid (MRF) between two aluminium face plates. Forced vibration tests were conducted under different magnetic fields with the application of external force in the form of sinusoidal sweep excitation using an electrodynamic shaker. Effect on damping and natural frequency due to change in MR fluid core thickness of 2 mm, 4 mm and 6 mm for the fully filled beam and fluid core length of 75 mm, 150 mm and 250 mm for partially filled beam were investigated. Modal and harmonic analysis of the MR sandwich beams were carried out using FE analysis. The results indicated that in the case of the fully filled beam, a reduction in the natural frequency with the increase in MR fluid core thickness and a better damping at 2 mm fluid core thickness were observed. Also, in the case of the partially filled beam a reduction in natural frequency and improvement in damping is found with the increase in core length and magnetic field. The results of these analyses can be useful in designing the sandwich beams for structural application. © School of Engineering, Taylor's UniversityItem Influence of temperature on magnetorheological fluid properties and damping performance(IOP Publishing Ltd, 2022) Kumar Kariganaur, A.; Kumar, H.; Arun, M.The magnetorheological (MR) system's performance depends on the MR fluid's temperature in operation. This study aims to evaluate the temperature effect of MR fluid on performance while the damper is working. Before synthesizing MR fluid, scanning electron microscopy, x-ray diffraction, and particle size analysis verifies for the synthesis of MR fluid in-house. Characterization of the MR fluid at different temperatures and magnetic fields was carried out. The Herschel-Bulkley model is used to analyse the nonlinearity in the fluid by incorporating the temperature effect. The range of critical parameters used to fabricate the MR damper is selected using the Technique for Order of Preference by Similarity to Ideal Solution performance score. The temperature of the MR fluid is measured using an embedded thermocouple while the damper is operating at different loading parameters. The results reveal that the fluid temperature rises significantly from atmospheric to 125.39 °C with decrease in damping force by 66.32% at higher loading parameters. The theoretical model predicts the increase in temperature similar to that of the experimental values with an average error of 10.24% in the on-state condition. Particle characterization after dynamic testing reveals particle morphology has not changed but the saturation magnetization of the particles reduced by 57% at higher temperatures (127 °C). It is observed through thermogravimetric analysis that, the life of the fluid is reduced by 0.25%, which is negligible after dynamic testing of the fluid for approximately 85000 cycles. Finally, to imitate the temperature effect on the particle, particles were heat-Treated at 200 °C, 400 °C, and 600 °C, and through scanning electron microscope image it is confirmed that deterioration of the particle starts after 200°C, if the fluid is operated for a prolonged amount of time. © 2022 IOP Publishing Ltd.