Faculty Publications

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    Surface Roughness Prediction in High Speed Turning of Ti-6Al-4V: A Comparison of Techniques
    (Institute of Physics Publishing helen.craven@iop.org, 2018) D'Mello, D.; Srinivasa Pai, P.; Puneet, N.P.
    Surface finish of machined products is important and plays an important role in ascertaining its quality and other attributes. Surface roughness of difficult to machine materials like titanium alloys are difficult to model due to several factors influencing it. This study makes an attempt to compare the performance of a statistical technique, Response Surface Methodology (RSM) and two Artificial Neural Network (ANN) techniques namely Multi Layered Perceptron (MLP) and Radial Basis Function Neural Network (RBFNN) to model and predict the surface roughness parameters Ra and Rt in high speed turning of Ti-6Al-4V. Experiments have been carried out using uncoated carbide inserts under dry condition. The input parameters for the modeling studies include cutting speed, feed rate and depth of cut. This work also makes use of tool wear and cutting tool vibration (Vy) which are uncontrollable parameters as the inputs for modeling studies. The ANOVA analysis has revealed that feed rate and cutting tool vibrations are the most significant parameters affecting Rt and cutting speed and vibrations affect Ra. A comparison between the modeling techniques revealed that RBFNN performed better in terms of prediction accuracy when compared to MLP and RSM. © Published under licence by IOP Publishing Ltd.
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    Multi objective optimization of quarter car parameters for better ride comfort and road holding
    (American Institute of Physics Inc. subs@aip.org, 2019) Puneet, N.P.; Hegale, A.; Kumar, H.; Gangadharan, K.V.
    Ride comfort of a vehicle is the measure of complacency that a passenger can experience during the travel. The present work focuses on optimizing the quarter car suspension parameters to provide better ride comfort and road holding. Initially a commercially available damper of a light motor vehicle has been characterized to understand its force- displacement behavior and the damping coefficient of this damper has been determined using this characterization result. These damping coefficient values have been considered for quarter car analysis using Matlab simulink model. Vehicle speed, sprung mass, spring constant are the other parameters considered along with damping constant. Design of experiment has been used to conduct simulation considering the parameters for three levels. Multi objective Genetic algorithm (MOGA) has been used to optimize the input parameters for better ride comfort and road holding. © 2019 Author(s).
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    The effect of inclination angle of shock absorber on ride comfort and road holding of two-wheeled vehicle
    (American Institute of Physics Inc. subs@aip.org, 2020) Hegale, A.; Puneet, N.P.; Kumar, H.; Gangadharan, K.V.
    The main purpose of shock absorber assembled in a vehicle is for ride comfort of passengers and better control of moving vehicle by driver. The shock absorber is assembled in between vehicle body known as sprung mass and a combine mass of wheel and suspension known as unsprung mass. In the present work, the effect of inclination angle of shock absorber on ride comfort and road holding of two-wheeled vehicle has been analyzed. For this study, a commercial viscous damper of a two-wheeled vehicle is characterized for different frequency and sinusoidal stroke to find the damper characteristics. A linear curve is fitted for the maximum velocity versus damping force for rebound and compression region. The fitted curve and a bump road profile used to analyze the ride comfort and road holding of the two-wheeled vehicle for three different inclination angles made by shock absorber. The stiffness of suspension increases due to the inclination which influences the ride comfort and road holding. © 2020 Author(s).
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    Design and modelling of radial flux MR damper with radial basis function based neural network
    (American Institute of Physics Inc., 2023) Pendyala, S.; Devikiran, P.; Puneet, N.P.; Kumar, H.
    The capability of providing large and controllable damping force has increased the implementation of Magneto-rheological (MR) dampers in the semi active suspension systems of vehicles over the past few decades. The Magneto-rheological damper's nonlinear nature has made the modelling and control of these devices a difficult task. This work, presents a non-parametric mathematical model of custom-made MR damper using Radial basis function (RBF) network in MATLAB. The neural network used here has four input neurons that takes displacement, velocity, current and previous force values, forty hidden neurons, one output neuron which gives the predicted force. The network is trained and validated with the data obtained by experimental testing of the damper using Damper testing Machine (DTM). The comparison of experimental and predicted force vs displacement curves show that the dynamic characteristics of damper are well represented by the neural network. © 2023 Author(s).
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    Comparison of axial and radial flux piston designs for vehicular applications with MR damper
    (American Institute of Physics Inc., 2023) Devikiran, P.; Pendyala, S.; Puneet, N.P.; Kumar, H.
    Improvements on suspension systems has been the eye of researchers past few decades as semiactive and active suspension systems put forth a new level of possibility for varied damping force providing a better stability to the system. Magnetorheological (MR) suspensions provide an effective replacement for passive suspension due to controllable damping force and its cost effectiveness when compared to active suspension. Different damper designs provide variable damping force in MR dampers due to the variation in the magnetic flux depending on the piston core. This work compares with two different magnetorheological piston designs namely Axial and Radial, in design, flow of magnetic flux lines and its characteristics based on damping force, velocity and current. © 2023 Author(s).
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    Influence of slide burnishing process on the surface characteristics of precipitation hardenable steel
    (Springer Nature, 2021) Sachin, B.; Rao, C.M.; Naik, G.M.; Puneet, N.P.
    The surface integrity of the material is the predominant necessity of a component to perform efficiently in varying working conditions. To improve the surface integrity of the workpiece secondary finishing processes are being performed. This work attempts to propose a realistic cryogenic slide burnishing condition for improvement of the surface integrity. The slide burnishing was performed by a novel slide burnishing tool on 17–4 precipitation hardenable stainless steel. The experiment was designed based on a central composite design. Initially, the effect of control parameters on the output response was examined by experimental analysis based on the design of experiment. Analysis of variance was used to analyze the influence of the variables on the performance indices. The regression technique was used to develop an empirical model. Optimization of process parameters for finding minimum surface roughness and maximum surface hardness was achieved by a multi-objective genetic algorithm. The optimized solutions were validated by performing confirmation experiments. © 2021, The Author(s).
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    Design, characterization and control of MR damper for two-wheeler applications
    (Elsevier Ltd, 2022) Devikiran, P.; Shravya, P.; Puneet, N.P.; Kumar, H.
    The research on Automotive systems is always an ongoing process with varied advancements in different sectors. One such sector is suspension system and the recent trends in vehicular suspension has taken a turn towards semiactive suspension considering its salient features like cost effectiveness and low power consumption with variable damping force. This research work presents the design of radial flux Magneto Rheological damper (MRD) with magnetic field analyzed using the FEMM tool. The designed MR damper has fabricated and characterized for modelling the damper in order to simulate the quarter car model of two wheeler rear suspension. The entire simulation was carried out using MATLAB/SIMULINK. © 2022
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    Characterization and quarter car analysis with magnetorheological fluid damper using modified algebraic model (mAlg)
    (Elsevier Ltd, 2022) Kumbhar, S.; Puneet, N.P.; Kumar, H.
    Magnetorheological (MR) dampers have received the ever-increasing attention of many researchers considering their wide range of applications ranging from large seismic control of structures to prosthetics in the medical field. One such application is in semi-active vehicle suspension with MR damper. Modeling the dynamic behavior of MR damper is an intriguing challenge and many mathematical models are put forth to address this task. In this work, the MR damper is initially developed and characterized using in-house prepared MR fluid. This study aims at using a modified algebraic model (mAlg) for modeling the hysteretic behavior of the MR damper using experimental force data. Also, the study uses a Genetic algorithm toolbox to find optimal parameters for the mAlg model, and the accuracy of mAlg is visualized with various plots. The work also aims at analyzing the response of the quarter car model with MR damper to three kinds of road excitations using Simulink. © 2022
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    Performance Evaluation of Magneto-Rheological Damper Through Characterization Testing, Modeling and its Implementation in Quarter Car
    (Springer, 2022) Puneet, N.P.; Devikiran, P.; Kumar, H.; Gangadharan, K.V.
    Purpose: Semi-active devices are showing a greater prominence in several engineering applications in recent times. This work makes an attempt to evaluate the performance of semi-active damper when used with a class of smart material called magneto-rheological (MR) fluid. Method: Initially an MR damper is developed and characterized using an in-house prepared MR fluid. The rheological study is also performed for the prepared MR fluid at different input currents. The behavior of the MR damper through characterization testing is modeled using a hysteretic modeling technique known as Kwok model and the parameters are converted into current-dependent variables. The force simulation through Kwok model is used in quarter car simulation model for different dynamic conditions with off-state, constant current and current through Skyhook control. Results: The comparative results with different current conditions are analyzed. An attempt has been made to replicate these conditions in the experiments using quarter car test rig. Conclusion: Both simulation and experimental analyses revealed greater vibration suppression capability of MR damper when used with skyhook control. On an average, 24% peak amplitude reduction is observed when compared to off-state condition. © 2021, Krishtel eMaging Solutions Private Limited.
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    Design and development of MR damper for two wheeler application and Kwok model parameters tuning for designed damper
    (SAGE Publications Ltd, 2022) Devikiran, P.; Puneet, N.P.; Hegale, A.; Kumar, H.
    Magnetorheological dampers have been the interest of many researchers for a few decades for the reason of being an effective and rapidly progressing technology in the field of semi-active controlled suspension. The dynamic behaviour of these devices with nonlinear hysteresis is quite a complicated phenomenon. Hence, this paper aims at the design, modelling and simulation of a custom-made MR damper for a two-wheeler vehicle. The Kwok model has been chosen to mathematically model the MR damper. The model parameters have been optimised by minimizing the error difference between experimental and model-generated force results. A PID control is designed to control the damper effectively depending on the deflection of the damper. The two-wheeler vehicle modelled with four degrees of freedom is coupled with a mathematical model of MR damper in front and rear suspension. Further, the dynamic analysis has been performed in MATLAB/Simulink considering random road input for different velocities and current input conditions. The improved performance of MR damper was observed in suppressing road irregularities using a PID controller. As an implementation part of the work, the developed damper has been implemented in a two wheeler vehicle for performance evaluation at on-road testing conditions. The results showed significant improvement in damper performance with increment of constant current controlling MR dampers. © IMechE 2021.