305 Characteristic Analysis and Evaluation of Rolling Noise of Railway Wheel / Rail System

Results from full-scale tread braking experiments on an inertia dynamometer (brake testing machine) are presented. Eighteen prototypes of brake blocks are investigated. Two braking characteristics relating to the influence of the blocks on the wheel tread are studied: generation of hot spots and generation of roughness (corrugation, waviness). Wheel tread temperatures are measured during braking using an infrared (IR) technique. The wheel roughness is measured after each brake cycle when the wheel has cooled down. A roughness indicator, RλCA, relates measured roughness to expected rolling noise as generated by the wheel in operation. A correlation between the spatial distributions of temperatures and roughnesses is normally found: stronger for cast iron blocks and composition blocks and weaker for sinter blocks. The cast iron blocks are found to produce high tread roughness levels, partly owing to material transfer from brake block to wheel tread. The composition blocks are found to result in lower roughness levels than the cast iron blocks. Finally, the sinter metal blocks are found to lead to the lowest roughness levels, a fact which is probably due to the abrasive property of these blocks. Friction coefficients during braking are also measured.

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A fundamental study on the rolling noise of the wheel/rail system of a railway vehicle.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C ◽

10.1299/kikaic.56.1414 ◽

1990 ◽

Vol 56 (526) ◽

pp. 1414-1419

Author(s):

Mitsuru ENDO ◽

Masahiko INOUE

Keyword(s):

Railway Vehicle ◽

Fundamental Study ◽

Rail System ◽

Rolling Noise

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317 Improvement of On-vehicle-type ANC Devices for Noises of Railway Wheel / Rail System

The Proceedings of the Dynamics & Design Conference ◽

10.1299/jsmedmc.2007._317-1_ ◽

2007 ◽

Vol 2007 (0) ◽

pp. _317-1_-_317-5_

Author(s):

Mitsuru ENDO ◽

Akira YAOITA ◽

Daichi NAGATA ◽

Koji IWANO ◽

Tsutomu NISHIGAKI

Keyword(s):

Railway Wheel ◽

Vehicle Type ◽

Rail System

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624 Reduction of Noises of Railway Wheel/Rail System by Active Noise Control

The Proceedings of the Dynamics & Design Conference ◽

10.1299/jsmedmc.2008._624-1_ ◽

2008 ◽

Vol 2008 (0) ◽

pp. _624-1_-_624-6_

Author(s):

Mitsuru ENDO ◽

Akira YAOITA ◽

Koji IWANO ◽

Daichi NAGATA

Keyword(s):

Noise Control ◽

Active Noise Control ◽

Railway Wheel ◽

Active Noise ◽

Rail System

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Fault detection of wheel in wheel/rail system using kurtosis beamforming method

Structural Health Monitoring ◽

10.1177/1475921719855444 ◽

2019 ◽

Vol 19 (2) ◽

pp. 495-509 ◽

Cited By ~ 1

Author(s):

Long Chen ◽

Yat Sze Choy ◽

Tian Gang Wang ◽

Yan Kei Chiang

Keyword(s):

Fault Detection ◽

Background Noise ◽

Signal To Noise Ratio ◽

Signal To Noise ◽

High Background ◽

Detection Systems ◽

Rail System ◽

Diagnosis Method ◽

Noise Ratio ◽

Rolling Noise

Fault detection systems are typically applied in the railway industry to examine the structural health status of the wheel/rail system. We herein propose a time-domain kurtosis beamforming technique using an array of microphones for the fault identification and localisation of the wheel/rail system under an environment with high background noise. As an acoustics-based noncontact diagnosis method, this technique overcomes the challenge of the contact between the sensors and examined structures, and it is more applicable for impulsive signals of broadband nature, such as impact noise generated from faults on the wheel surface. Moreover, the application of kurtosis enables the identification and localisation at low signal-to-noise ratio. Under such circumstance, the impulsive signals generated by faults were totally merged in rolling noise and background noise. Meanwhile, different types of faults on the wheels could be identified and localised by observing the kurtosis value on the beamforming sound map. The effectiveness of the proposed method to diagnose the type of wheel fault with low signal-to-noise ratio and moving source has been validated experimentally. This method may provide a useful tool for the routine maintenance of trains.

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Mitigation of Railway Wheel Rolling Noise by Using Advanced Optimization Techniques

EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization ◽

10.1007/978-3-319-97773-7_99 ◽

2018 ◽

pp. 1141-1153

Author(s):

J. Gutiérrez-Gil ◽

X. Garcia-Andrés ◽

J. Martínez-Casas ◽

E. Nadal ◽

F. D. Denia

Keyword(s):

Optimization Techniques ◽

Railway Wheel ◽

Wheel Rolling ◽

Rolling Noise

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Calculation of temperatures in a sliding wheel/rail system and implications for wheel steel development

Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit ◽

10.1243/09544097jrrt120 ◽

2007 ◽

Vol 221 (4) ◽

pp. 455-464 ◽

Cited By ~ 9

Author(s):

K J Sawley

Keyword(s):

Current Paper ◽

Wheel Steel ◽

Frictional Heat ◽

Railway Wheel ◽

Rates Of Change ◽

Rail System ◽

Dynamic Forces ◽

High Dynamic

Railway wheel failure occurs when metal spalls from the tread to produce flat or out-of-round wheels that cause high dynamic forces. Spalls initiate in brittle martensite formed by the frictional heat produced during wheel slide. The current paper calculates the temperatures developed in the sliding wheel and discusses consequences of the rates of change of temperature on metallurgical means of avoiding spalls.

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