Influence of Suspension Parameters Changes of a Railway Vehicle on Output Quantities
Dižo Ján (),
Blatnický Miroslav (),
Steišūnas Stasys () and
Vaičiūnas Gediminas ()
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Dižo Ján: University of Žilina, Faculty of Mechanical Engineering, Department of Transport and Handling Machines, Univerzitná 8215/1, 010 26Žilina, Slovak Republic
Blatnický Miroslav: University of Žilina, Faculty of Mechanical Engineering, Department of Transport and Handling Machines, Univerzitná 8215/1, 010 26Žilina, Slovak Republic
Steišūnas Stasys: Vilnius Gediminas Technical University, Faculty of Transport Engineering, Department of Mobile Machinery and Railway Transport, J. Basanavičiaus g. 28, LT-03224, Vilnius, Lithuania
Vaičiūnas Gediminas: Vilnius Gediminas Technical University, Faculty of Transport Engineering, Department of Mobile Machinery and Railway Transport, J. Basanavičiaus g. 28, LT-03224, Vilnius, Lithuania
LOGI – Scientific Journal on Transport and Logistics, 2019, vol. 10, issue 1, 20-29
Abstract:
This article deals with computer analyses of output quantities of a railway vehicle depending on changing of parameters of suspension system. A passenger car was chosen for dynamic analyses. An analysed passenger railway vehicle uses two stage suspension system composed of coil springs and hydraulic dampers. Stiffness of coil springs of primary and secondary suspensions were defined for two states and its influence on output values in terms of quality and quantity was evaluated. As output variables, values of forces in a wheel/rail contact and accelerations in several locations on a wagon body floor were chosen. Values of forces in a wheel/rail contact indicate dynamic response of a railway vehicle running in terms of running safety and values of accelerations serve as important input for evaluation of passenger ride comfort.
Keywords: Railway vehicle; suspension parameters; computer simulations; running properties (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:logitl:v:10:y:2019:i:1:p:20-29:n:3
DOI: 10.2478/logi-2019-0003
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