Vikas Rastogi
Delhi Technological University
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Featured researches published by Vikas Rastogi.
Simulation | 2017
Vivek Kumar; Vikas Rastogi; Pushparaj Mani Pathak
Vibration in trains constitutes one aspect of the physical environment that can cause discomfort to passengers. In order to assess the vibration, a variety of techniques have been developed and used. The general approach is to acquire acceleration at the passenger–train interface, and to then process these acceleration signals in order to calculate human comfort. However, the comfort index so calculated is independent of the seat characteristics and human parameters. Thus, a human biodynamic model with dynamic seat characteristics is necessary in order to perform true comfort analysis. The biodynamics of human subjects has been a topic of interest over the years, and a number of mathematical models have been established. However, there are only a few studies incorporating biodynamic models in railway applications. So, the present work proposes to evaluate Sperling’s Ride Index for a low–medium speed railway vehicle and further to calculate root mean square acceleration of different body parts, as per the International Organization for Standardization (ISO) 2631 guidelines, through bond graph technique. Car body flexibility is also incorporated using modal expansion of a free–free beam. Physiological effects of the vibrations on the human body were analyzed using the criteria specified in ISO 2631.
Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics | 2018
Vivek Kumar; Vikas Rastogi; Pushparaj Mani Pathak
The dynamic response of a railway track under a moving train in the presence of a wheel with flat has been studied over many years. The force at the wheel–rail interface is mainly responsible for vehicle and track components deterioration and adds to the maintenance cost. So, reliable predictions of wheel–rail interaction forces are of prime concern to get the key factors responsible for damage of vehicle and track components. In most of the studies, a symmetrical vehicle–track model with linearity in track components behavior is assumed for simplification. This may lead to incorrect results in some situation. In this paper, wheel–rail impact dynamics is investigated by considering an asymmetrical vehicle–track model with due consideration to nonlinear behavior of track. Some nonlinear factors such as loss of wheel–rail contact, nonlinearity in pad, and ballast behavior are taken into consideration. A combined vehicle–track bond graph model is developed to study the wheel–track interaction dynamics. The rail is modeled as a flexible Euler Bernoulli beam resting on discrete support. The nonlinear Hertzian contact theory is used to accomplish the dynamic interactions between the vehicle and the track. Time response of forces, displacements, velocities, and accelerations of the related components of the vehicle and the track are obtained. It has been found that, though the wheel flat exists on leading right wheels, its effect has also been transferred to other components of the vehicle. The obtained results further lead to provide a better understanding of the interaction dynamics at the wheel–track interface with attention to the nonlinear behavior of pad and ballast.
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit | 2018
Vivek Kumar; Vikas Rastogi; Pushparaj Mani Pathak
Nowadays, rail transport is a very important part of the transportation network for any countries. The demand for high operational speed makes hunting a very common instability problem in railway vehicles. Hunting leads to discomfort and causes physical damage to carriage components, such as wheels, rails, etc. The causes of instability and derailment should be identified and eliminated at the designing stage of a train to ensure its safe operation. In most of the earlier studies on hunting behaviour, a simplified model with a lower degree of freedom were considered, which resulted in incorrect results in some instances. In this study, a complete bond graph model of a railway vehicle with 31 degrees of freedom is presented to determine the response of a high-speed railway vehicle. For this purpose, two wheel–rail contacts grounded on a flange contact and Kalker’s linear creep theory are implemented. The model is simulated to observe the effects of suspension elements on the vehicle’s critical hunting velocity. It is observed that the critical hunting speed is extremely sensitive to the primary longitudinal and lateral springs. Other primary and secondary springs and dampers also affect the critical speed to some extent. However, the critical hunting velocity is insensitive to vertical suspension elements for both the primary and secondary suspensions. Also, the critical speed is found to be inversely related to the conicity of the wheel.
ieee international conference on renewable energy research and applications | 2016
Farhan Javed; Salman Javed; Taha Bilal; Vikas Rastogi
This paper presents the design and optimization of a small horizontal axis wind turbine blade (HAWT) using proposed code. The blades which determine the performance of a wind turbine were laid out using NACA 4412, NACA 2412 and NACA 1812 and have been designed for wind speeds of 5 m/s which is the most prominent wind speed prevailing in the Indian Peninsula. The self-created code based on Blade Element Momentum theory generates an optimum blade profile which operates at high efficiency by making use of multiple airfoils. Twist angle distribution, chord distribution and other parameters for different airfoil sections along the blade are determined through the proposed code. The 4.46 m rotor diameter managed to achieve a power coefficient of 0.490 at wind speeds of 5 m/s and produced power output of 0.56 kW. The results of the blade analysis carried out using Q-blade software agree well with the proposed code and performance analysis of the wind turbine is carried out.
Case Studies in Engineering Failure Analysis | 2013
Loveleen Kumar Bhagi; Pardeep Gupta; Vikas Rastogi
Case Studies in Engineering Failure Analysis | 2017
Sushila Rani; Atul Kumar Agrawal; Vikas Rastogi
Procedia Engineering | 2016
Anuj Kumar Jain; Vikas Rastogi; Atul Kumar Agrawal
Procedia Engineering | 2016
Ashish Gupta; Vikas Rastogi
Materials Today: Proceedings | 2018
Sushila Rani; Atul Kumar Agrawal; Vikas Rastogi
International Journal of Heavy Vehicle Systems | 2018
Ashish Gupta; Vikas Rastogi