SmartFleet, how "Smart" rail vehicles help improve business

2011 ◽  
Author(s):  
M.H.A. Palte
Keyword(s):  
Rail Vehicles

How can active suspension reduce cost in rail vehicles?

2020 ◽  
Author(s):  
Rickard Persson ◽  
Sebastian Stichel ◽  
Rocco Libero Giossi
Keyword(s):  
Active Suspension ◽  
Rail Vehicles

scholarly journals Analysis of the consistency of the Sperling index for rail vehicles based on different algorithms

2019 ◽  
pp. 1-18 ◽  
Author(s):  
Chenxin Deng ◽  
Jinsong Zhou ◽  
David Thompson ◽  
Dao Gong ◽  
Wenjing Sun ◽  
...  
Keyword(s):  
Rail Vehicles

scholarly journals Identification of the Major Noise Energy Sources in Rail Vehicles Moving at a Speed of 200 km/h

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3957
Author(s):  
Krzysztof Polak ◽  
Jarosław Korzeb
Keyword(s):  
Experimental Research ◽  
Energy Sources ◽  
Dominant Source ◽  
Railway Vehicles ◽  
Measurement Apparatus ◽  
Rail Vehicles ◽  
Noise Energy ◽  
Rolling Noise ◽  
Multiple Units

In this work, the problematic identification of the main sources of noise occurring from the exploitation of railway vehicles moving at a speed of 200 km/h were analyzed. Within the conducted experimental research, the testing fields were appointed, measurement apparatus selected, and a methodology for conducting measurements was defined, including the assessment of noise on a curve and straight track for electric multiple units of the so-called Pendolino, an Alstom type ETR610 series ED25 train. The measurements were made using a microphone camera Bionic S-112 at a distance of 22 m from the track axis. As a result of the conducted experimental research, it was indicated that the noise resulting from vibrations arising at the wheel-rail contact (rolling noise) was the dominant source of sound.

Adaptive Safe and Energy-Efficient Driving Control of Unmanned Rail Vehicles

2020 ◽  
Author(s):  
Alexandra V. Bolshakova ◽  
Alexandr M. Boronachin ◽  
Daniil Yu. Larionov ◽  
Liudmila N. Podgornaya ◽  
Roman V. Shalymov
Keyword(s):  
Energy Efficient ◽  
Rail Vehicles

Metamodel-based robust collaborative optimization for the suspension parameters of rail vehicles

2019 ◽  
Vol 42 (8) ◽  
pp. 643-652
Author(s):  
Wenlong Liu ◽  
Yue Yang ◽  
Panpan Wang ◽  
Xiao Chen ◽  
Xiaobin Wei
Keyword(s):  
Collaborative Optimization ◽  
Suspension Parameters ◽  
Rail Vehicles

The Nonlinear Dynamics of Rail Vehicles in Curve Entry and Negotiation

1981 ◽  
Vol 10 (2-3) ◽  
pp. 161-166
Author(s):  
N. K. COOPERRIDER ◽  
E. H. LAW
Keyword(s):  
Nonlinear Dynamics ◽  
Rail Vehicles

scholarly journals Effect of Rail Vehicle–Track Coupled Dynamics on Fatigue Failure of Coil Spring in a Suspension System

2021 ◽  
Vol 11 (6) ◽  
pp. 2650
Author(s):  
Sunil Kumar Sharma ◽  
Rakesh Chandmal Sharma ◽  
Jaesun Lee
Keyword(s):  
Mathematical Model ◽  
Fatigue Fracture ◽  
Suspension System ◽  
Railway Vehicle ◽  
Coil Spring ◽  
Internal Resonances ◽  
Rail Vehicle ◽  
Rail Vehicles ◽  
Stress Result ◽  
Wheel Track

In a rail vehicle, fatigue fracture causes a significant number of failures in the coil spring of the suspension system. In this work, the origin of these failures is examined by studying the rail wheel–track interaction, the modal analysis of the coil springs and the stresses induced during operation. The spring is tested experimentally, and a mathematical model is developed to show its force vs. displacement characteristics. A vertical 10-degree-of-freedom (DOF) mathematical model of a full-scale railway vehicle is developed, showing the motions of the car body, bogies and wheelsets, which are then combined with a track. The springs show internal resonances at nearly 50–60 Hz, where significant stresses are induced in them. From the stress result, the weakest position in the innerspring is identified and a few guidelines are proposed for the reduction of vibration and stress in rail vehicles.

Evaluating and Improving Locomotive Crashworthiness Using LS-DYNA

2000 ◽  
Author(s):  
Stephen J. Kokkins ◽  
S. Kash Kasturi ◽  
Wayne Kong ◽  
S. K. John Punwani
Keyword(s):  
Finite Element ◽  
Structural Design ◽  
Structural Models ◽  
Structural Behavior ◽  
Right Of Way ◽  
Dynamic Finite Element ◽  
Rail Vehicles ◽  
Linear Material ◽  
The Right ◽  
Modeling Code

Abstract Representative structural models of locomotives, other rail vehicles, and other potential colliding objects were combined into moving consists which were then subjected to various collision scenarios. The LS-DYNA dynamic finite-element modeling code was utilized to realistically simulate collisions and guide understanding and improvements of the locomotive structures. This incorporated the effects of the collision interactions, plus critical non-linear material and structural behavior, buckling, fracture, kinematics, and wayside interactions of the vehicles. The types of collisions included: locomotive-headed consists striking standing consists obliquely fouling the Right Of Way, headed both by freight cars and other locomotives; locomotives striking loose, loaded intermodal containers dislodged from opposing cars on adjacent track. Work on multiple coupled locomotive overrides in direct consist collisions is now being conducted. The effects of varying parameters such as collision speeds, location and orientation of the colliding vehicles, and structural improvements were explored and quantified. Also, the effects of some structural design modifications such as stronger collision posts and cab structure were evaluated using this process. Verification studies to date have shown good correlation between the analytical simulations and observed outcome of actual historical accidents.

Performance of Rail Vehicles under Different Track Excitations Based on Inerters

2021 ◽  
Author(s):  
Zhong cheng Qiu ◽  
Shichang Han ◽  
Jing Na ◽  
Xian Wang ◽  
Chen Wang
Keyword(s):  
Rail Vehicles
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