+44 (0)1509 263171
Please use this identifier to cite or link to this item:
|Title: ||The benefits of mechatronically-guided railway vehicles: A multi-body physics simulation study|
|Authors: ||Farhat, Nabilah|
Ward, Christopher P.
Goodall, Roger M.
|Issue Date: ||2018|
|Publisher: ||© The authors. Published by Elsevier|
|Citation: ||FARHAT, N. ... et al., 2018. The benefits of mechatronically-guided railway vehicles: A multi-body physics simulation study. Mechatronics, 51, pp. 115-126.|
|Abstract: ||Mechatronically-guided railway vehicles are of paramount importance in addressing the increasing interest in reducing wheel-rail wear and improving guidance and steering. Conventional passively-guided rail vehicles are limited by the mechanical constraints of the suspension elements. Currently, a typical rail vehicle suspension needs to be sufficiently stiff to stabilize the wheelsets while being complaint enough to negotiate curved track profiles. The suspension is therefore a compromise for the contradictory requirements of curving and stability. In mechatronic vehicles, actuators are used with the conventional suspension components to provide additional stiffness or damping forces needed to optimise a vehicle for a wide variety of scenarios, and not rely on a sub optimal combination of passive components. This research demonstrates the benefits of active guidance and steering when compared to a conventional vehicle using simulation results from a multi-body simulation software Simpack. It also provides insights into the relative performance of the mechatronic schemes. The Simpack modeling allows for a complex model with high fidelity, which provides an additional level of proof of the control algorithms working on a real rail vehicle. Each vehicle is assessed in terms of guidance on straight track, steering on curved track, actuation requirements and wheel-rail wear. Significant benefits are demonstrated in one of the guided vehicles with independently-rotating wheelsets.|
|Description: ||This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/|
|Sponsor: ||The research has been supported by a Loughborough University studentship and European Unions Horizon 2020: the Framework Programme for Research and Innovation (2014–2020) through grant
number 635900 for the project IN2RAIL: Innovative Intelligent Rail.|
|Publisher Link: ||https://doi.org/10.1016/j.mechatronics.2018.03.008|
|Appears in Collections:||Published Articles (Mechanical, Electrical and Manufacturing Engineering)|
Files associated with this item:
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.