Determination of wheel–rail contact points with semianalytic methods

Malvezzi, Monica; Meli, Enrico; Falomi, Stefano; Rindi, Andrea

doi:10.1007/s11044-008-9123-5

Cited by 84 publications

(52 citation statements)

References 14 publications

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“…The minimum difference method [18] is applied to find the difference between the wheel profile contact position and the rail profile contact position. The wheel-rail contact coordinates solutions are checked for indentation.…”

Section: Methodsmentioning

confidence: 99%

Prediction of metal PM emission in rail tracks for condition monitoring application

Tesfa¹,

Gu²,

Anyakwo³

et al. 2011

5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011)

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Exposure to particulate material (PM) is a major health concern in megacities across the world which use trains as a primary public transport. PM emissions caused by railway traffic have hardly been investigated in the past, due to their obviously minor influence on the atmospheric air quality compared to automotive transport. However, the electrical train releases particles mainly originate from wear of rails track, brakes, wheels and carbon contact stripe which are the main causes of cardio-pulmonary and lung cancer. In previous reports most of the researchers have focused on case studies based PM emission investigation. However, the PM emission measured in this way doesn't show separately the metal PM emission to the environment. In this study a generic PM emission model is developed using rail wheel-track wear model to quantify and characterise the metal emissions. The modelling has based on Archard's wear model. The prediction models estimated the passenger train of one set emits 6.6mg/km-train at 60m/s speed. The effects of train speed on the PM emission has been also investigated and resulted in when the train speed increase the metal PM emission decrease. Using the model the metal PM emission has been studied for the train line between Leeds and Manchester to show potential emissions produced each day. This PM emission characteristics can be used to monitor the brakes, the wheels and the rail tracks conditions in future.

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Section: Methodsmentioning

confidence: 99%

Prediction of metal PM emission in rail tracks for condition monitoring application

Tesfa¹,

Gu²,

Anyakwo³

et al. 2011

5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011)

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“…General architecture of the HIL system. especially developed by the authors for this kind of application is used [20][21][22]. The mechanical and electrical characteristics of the vehicle [11,12] and of the roller-rig [14,15] are directly provided by Trenitalia and RFI.…”

Section: Modelling Of the Firenze-osmannoro Hil Systemmentioning

confidence: 99%

“…Firstly, all the contact points P c l=r of each wheel-roller pair are detected. Some innovative procedures have been recently developed by the authors [20][21][22]; the new algorithms are based on the reduction of the algebraic contact problem dimension through exact analytical techniques [23]. Secondly, the normal contact problem is solved through the Hertz theory [29] to evaluate the normal Fig.…”

Section: The Wheel-roller Contact Modelmentioning

confidence: 99%

An innovative hardware in the loop architecture for the analysis of railway braking under degraded adhesion conditions through roller-rigs

et al. 2014

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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues.Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. Nowadays, the longitudinal train dynamical behaviour is almost totally controlled by braking on board subsystems, such as Wheel Slide Protection (WSP) devices. The study and the development of these systems are fundamental for the vehicle safety, especially at high speeds and under degraded adhesion conditions. Traditionally, the performance of braking subsystems is tested on full-scale roller-rigs, to save time and to avoid expensive on-track tests. However, the study of the subsystem behaviour under degraded adhesion conditions on roller-rigs is still limited to few applications since high slidings among rollers and wheelsets generate wear of the rolling surfaces. This event is not acceptable because of the effects on the maintenance costs (the rollers have to be turned or substituted), on the system dynamical stability and on the safety. In this work the authors present an innovative Hardware In the Loop (HIL) approach for testing braking on board subsystems on full-scale roller-rigs. The new approach permits the reproduction on the rollerrig of a generic wheel-rail adhesion pattern and, in particular, of degraded adhesion conditions. The described strategy is the same implemented on the innovative full-scale roller-rig, recently built by Trenitalia and owned by SIMPRO, in the Railway Research and Approval Center of Firenze-Osmannoro (Italy). To validate the proposed approach, a complete model of the HIL system has been developed; the results provided by the simulation model have been compared to the experimental data provided by Trenitalia and relative to the on-track tests performed in Velim, Czech Republic, with a UIC-Z1 coach equipped with a fully-working WSP system. The complete model is based on the real characteristics of the components provided by Trenitalia. The preliminary validation performed with the HIL model highlighted the good performance of the HIL strategy in reproducing on the roller-rig the complex behaviour of the degraded adhesion during the braking of a railway vehicle. The next steps of the research activity will be the implementation both of the controller and the virtual vehicle model on the real Firenze-Osmannoro roller-rig.

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“…The three-dimensional multi-body model of the MDM roller rig presented in this paper is more accurate than those described in the previous works [8,10]. It consists of two parts: the scaled roller rig and the scaled vehicle (half vehicle, according to the architecture introduced before).…”

Section: Mdm Roller Rig: Multi-body Modelmentioning

confidence: 99%

“…The numerical model reproduces both the hardware (scaled bogie, rollers) and the software (simulated vehicle) parts of the roller rig. The main contribution of the paper is the study of the complete three-dimensional dynamics of the hardware part of the test rig, in particular, the contact between wheels and rollers [6] was modelled by adapting a previously existing algorithm, described in detail in [7,8], initially defined for the wheel/rail contact model: the algorithm was then modified to simulate the contact between two revolute surfaces and to work with variable step solvers (that improve the numerical efficiency and robustness). The software part of the roller rig and the control laws of the roller motors were derived substantially from those described in [4], even if some improvements were necessary: first of all, since the roller rig described in that paper tests a whole vehicle, while the scaled version tests only one bogie, the controller has to include a virtual vehicle, in which one of the bogies is real and the other is simulated.…”

Section: Introductionmentioning

confidence: 99%

A numerical model of a HIL scaled roller rig for simulation of wheel–rail degraded adhesion condition

Conti

Meli

Pugi

et al. 2012

Vehicle System Dynamics

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PLEASE SCROLL DOWN FOR ARTICLEFull terms and conditions of use: http://www.tandfonline.com/page/terms-andconditions This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden.The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae, and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Scaled roller rigs used for railway applications play a fundamental role in the development of new technologies and new devices, combining the hardware in the loop (HIL) benefits with the reduction of the economic investments. The main problem of the scaled roller rig with respect to the full scale ones is the improved complexity due to the scaling factors. For this reason, before building the test rig, the development of a software model of the HIL system can be useful to analyse the system behaviour in different operative conditions. One has to consider the multi-body behaviour of the scaled roller rig, the controller and the model of the virtual vehicle, whose dynamics has to be reproduced on the rig. The main purpose of this work is the development of a complete model that satisfies the previous requirements and in particular the performance analysis of the controller and of the dynamical behaviour of the scaled roller rig when some disturbances are simulated with low adhesion conditions. Since the scaled roller rig will be used to simulate degraded adhesion conditions, accurate and realistic wheel-roller contact model also has to be included in the model. The contact model consists of two parts: the contact point detection and the adhesion model. The first part is based on a numerical method described in some previous studies for the wheel-rail case and modified to simulate the three-dimensional contact between revolute surfaces (wheel-roller). The second part consists in the evaluation of the contact forces by means of the Hertz theory for the normal problem and the Kalker theory for the tangential problem. Some numerical tests were performed, in particular low adhesion conditions were simulated, and bogie hunting and dynamical imbalance of the wheelsets were introduced. The tests were devoted to verify the robustness of control system with respect to some of the more frequent disturbances that may influence the roller rig dynamics. In particular we verified that the wheelset imbalance could significantly influence system performance, and to reduce the effect of this disturbance a multistate filter was designed.

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Determination of wheel–rail contact points with semianalytic methods

Cited by 84 publications

References 14 publications

Prediction of metal PM emission in rail tracks for condition monitoring application

Prediction of metal PM emission in rail tracks for condition monitoring application

An innovative hardware in the loop architecture for the analysis of railway braking under degraded adhesion conditions through roller-rigs

A numerical model of a HIL scaled roller rig for simulation of wheel–rail degraded adhesion condition

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