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Theoretical modelling of railway curve squeal

Theoretical modelling of railway curve squeal
Theoretical modelling of railway curve squeal

Railway curve squeal is an environmental noise problem occurring occasionally when a vehicle is negotiating a sharp curve.  A theoretical study is carried out to develop a complete model, which can predict curve squeal and may provide useful approaches to control it.

The curve squeal results from a kind of self-excited vibration existing in the wheel/rail contact system, mainly due to the falling friction coefficient when sliding occurs between the wheel and rail surfaces.  The central work of this thesis is to build a self-excited feedback loop model, representing relations between the wheel/rail motions and the contact forces.  The stability analysis of this loop can predict the possibility of squeal, while the time-domain integration of the loop can provide the intensity of squeal.

A twin-disc rig, with a wheel disc rolling on a rail disc, was used to investigate the squeal phenomenon and validate the wheel/rail squeal model.  With this rig, the lateral forces acting on the discs due to varying amounts of lateral creepage can be measured in a controlled environment, as well as the acoustic and vibration responses of the discs.  According to the experimental results, the falling friction in sliding is closely related to the self-excited vibration and hence the occurrence of squeal.

The curve squeal prediction is applied for all four wheel/rail contacts in a bogie.  The results show that squeal is prone to occur at the leading wheels of a bogie, mainly due to the large lateral steady-state creepage.  The leading outer wheel in flange contact has less possibility for squeal than the leading inner one.  The trailing wheels are unlikely to squeal.  Both a wheel damping treatment and friction modification can be used to control the squeal, but will not always be effective.

University of Southampton
Huang, Zhenyu
0aed8c31-b097-4fcc-811d-69fd0916de4f
Huang, Zhenyu
0aed8c31-b097-4fcc-811d-69fd0916de4f

Huang, Zhenyu (2007) Theoretical modelling of railway curve squeal. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

Railway curve squeal is an environmental noise problem occurring occasionally when a vehicle is negotiating a sharp curve.  A theoretical study is carried out to develop a complete model, which can predict curve squeal and may provide useful approaches to control it.

The curve squeal results from a kind of self-excited vibration existing in the wheel/rail contact system, mainly due to the falling friction coefficient when sliding occurs between the wheel and rail surfaces.  The central work of this thesis is to build a self-excited feedback loop model, representing relations between the wheel/rail motions and the contact forces.  The stability analysis of this loop can predict the possibility of squeal, while the time-domain integration of the loop can provide the intensity of squeal.

A twin-disc rig, with a wheel disc rolling on a rail disc, was used to investigate the squeal phenomenon and validate the wheel/rail squeal model.  With this rig, the lateral forces acting on the discs due to varying amounts of lateral creepage can be measured in a controlled environment, as well as the acoustic and vibration responses of the discs.  According to the experimental results, the falling friction in sliding is closely related to the self-excited vibration and hence the occurrence of squeal.

The curve squeal prediction is applied for all four wheel/rail contacts in a bogie.  The results show that squeal is prone to occur at the leading wheels of a bogie, mainly due to the large lateral steady-state creepage.  The leading outer wheel in flange contact has less possibility for squeal than the leading inner one.  The trailing wheels are unlikely to squeal.  Both a wheel damping treatment and friction modification can be used to control the squeal, but will not always be effective.

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Published date: 2007

Identifiers

Local EPrints ID: 466309
URI: http://eprints.soton.ac.uk/id/eprint/466309
PURE UUID: 6fdeedeb-06a0-4275-9727-048af8d8bc98

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Date deposited: 05 Jul 2022 05:09
Last modified: 16 Mar 2024 20:37

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Author: Zhenyu Huang

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