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Relevant bibliographies by topics / Railway, degraded adhesion, adhesion model

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Journal articles

Academic literature on the topic 'Railway, degraded adhesion, adhesion model'

Author: Grafiati

Published: 10 March 2023

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Journal articles on the topic "Railway, degraded adhesion, adhesion model"

1

Meli, E., A. Ridolfi, and A. Rindi. "An innovative degraded adhesion model for railway vehicles: development and experimental validation." Meccanica 49, no. 4 (2013): 919–37. http://dx.doi.org/10.1007/s11012-013-9839-z.

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2

Meli, E., L. Pugi, and A. Ridolfi. "An innovative degraded adhesion model for multibody applications in the railway field." Multibody System Dynamics 32, no. 2 (2013): 133–57. http://dx.doi.org/10.1007/s11044-013-9400-9.

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3

Meli, E., and A. Ridolfi. "An innovative wheel–rail contact model for railway vehicles under degraded adhesion conditions." Multibody System Dynamics 33, no. 3 (2013): 285–313. http://dx.doi.org/10.1007/s11044-013-9405-4.

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4

Allotta, B., E. Meli, A. Ridolfi, and A. Rindi. "Development of an innovative wheel–rail contact model for the analysis of degraded adhesion in railway systems." Tribology International 69 (January 2014): 128–40. http://dx.doi.org/10.1016/j.triboint.2013.09.013.

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5

Allotta, B., R. Conti, E. Meli, L. Pugi, and A. Ridolfi. "Development of a HIL railway roller rig model for the traction and braking testing activities under degraded adhesion conditions." International Journal of Non-Linear Mechanics 57 (December 2013): 50–64. http://dx.doi.org/10.1016/j.ijnonlinmec.2013.06.003.

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6

Zirek, Abdulkadir, and Altan Onat. "A novel anti-slip control approach for railway vehicles with traction based on adhesion estimation with swarm intelligence." Railway Engineering Science 28, no. 4 (2020): 346–64. http://dx.doi.org/10.1007/s40534-020-00223-w.

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AbstractAnti-slip control systems are essential for railway vehicle systems with traction. In order to propose an effective anti-slip control system, adhesion information between wheel and rail can be useful. However, direct measurement or observation of adhesion condition for a railway vehicle in operation is quite demanding. Therefore, a proportional–integral controller, which operates simultaneously with a recently proposed swarm intelligence-based adhesion estimation algorithm, is proposed in this study. This approach provides determination of the adhesion optimum on the adhesion-slip curv

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7

Uyulan, Çağlar, and Metin Gokasan. "Modeling, simulation and re-adhesion control of an induction motor–based railway electric traction system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 1 (2017): 3–11. http://dx.doi.org/10.1177/0959651817732487.

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Increasing the traction force is a complex problem in the design of railway vehicles; therefore, effective traction systems and algorithms have to be developed. During the traction process, the verification of traction algorithms and control strategies are based on simulations covering all locomotive dynamics. In this article, traction model of a railway vehicle and re-adhesion control method based on simulation approach are investigated to obtain more effective results. The longitudinal dynamic of a railway vehicle having traction system, which comprises two parallel motor groups, each of whi

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8

Bureika, Gintautas. "A MATHEMATICAL MODEL OF TRAIN CONTINUOUS MOTION UPHILL." TRANSPORT 23, no. 2 (2008): 135–37. http://dx.doi.org/10.3846/1648-4142.2008.23.135-137.

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The determination problem of adhesion coefficient of locomotives’ wheels with rails is described in this paper. The use of methods of mathematical statistics and theory of probability provides wider possibilities for determining the most acceptable (suitable) value of the adhesion coefficient. The random factors influencing on this value are analysed. The use of the adhesion coefficient values based on reliable research results could help maintain uninterrupted (continuous) traffic of heavy freight trains and increase not only the carrying capacity, but also the volume of the transported goods

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9

Li, Yun Feng, Xiao Yun Feng, and Rui Kuo Liu. "Maximum Adhesion Control of Railway Based on Sliding Mode Control System." Advanced Materials Research 383-390 (November 2011): 5242–49. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.5242.

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The wheels will idle when the relative slipping speed between the wheel and rail exceeds the reference slipping speed. In order to avoid this phenomenon, the simplified model of wheel-rail traction torque transmission was established. And the adhesion coefficient and vehicle velocity are got through the disturbance observer. Then the recursive least squares method was used to forecast the slope of the adhesion-slip curve. Sliding variable structure controller was used to control the error of wheel velocity and reference velocity. From the results of simulation, this method can be effective to

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10

Olofsson, U. "A multi-layer model of low adhesion between railway wheel and rail." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 221, no. 3 (2007): 385–89. http://dx.doi.org/10.1243/09544097jrrt111.

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