Out-of-round railway wheels and polygonisation

Iwnicki, Simon; Nielsen, Jens C. O.; Tao, Gongquan

doi:10.1080/00423114.2023.2194544

Cited by 27 publications

(4 citation statements)

References 123 publications

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“…(2020), Tao, Xie et al. (2020), Iwnicki, Nielsen, and Tao (2023). The frequency-fixed mechanism is regarded as a general law for the formation of wheel polygonal wear, although the specific driving force of wheel polygonal wear still remains controversy for specific vehicles.…”

Section: Wheel/rail High Frequency Vibration In Railway Bogiementioning

confidence: 99%

“…Due to its highly adverse influence, huge efforts have been made to understand the formation mechanism and its associated influence on high-speed rail vehicles, metro cars and locomotives. The most recent review on the formation mechanisms of wheel polygonal wear for high-speed rail vehicles, metro cars and locomotive were made by , Tao, Xie et al (2020), Iwnicki, Nielsen, and Tao (2023). The frequency-fixed mechanism is regarded as a general law for the formation of wheel polygonal wear, although the specific driving force of wheel polygonal wear still remains controversy for specific vehicles.…”

Section: Rs 32mentioning

confidence: 99%

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A critical review of wheel/rail high frequency vibration-induced vibration fatigue of railway bogie in China

Wu,

Zhang,

Cai

et al. 2024

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PurposeThis review aims to give a critical view of the wheel/rail high frequency vibration-induced vibration fatigue in railway bogie.Design/methodology/approachVibration fatigue of railway bogie arising from the wheel/rail high frequency vibration has become the main concern of railway operators. Previous reviews usually focused on the formation mechanism of wheel/rail high frequency vibration. This paper thus gives a critical review of the vibration fatigue of railway bogie owing to the short-pitch irregularities-induced high frequency vibration, including a brief introduction of short-pitch irregularities, associated high frequency vibration in railway bogie, typical vibration fatigue failure cases of railway bogie and methodologies used for the assessment of vibration fatigue and research gaps.FindingsThe results showed that the resulting excitation frequencies of short-pitch irregularity vary substantially due to different track types and formation mechanisms. The axle box-mounted components are much more vulnerable to vibration fatigue compared with other components. The wheel polygonal wear and rail corrugation-induced high frequency vibration is the main driving force of fatigue failure, and the fatigue crack usually initiates from the defect of the weld seam. Vibration spectrum for attachments of railway bogie defined in the standard underestimates the vibration level arising from the short-pitch irregularities. The current investigations on vibration fatigue mainly focus on the methods to improve the accuracy of fatigue damage assessment, and a systematical design method for vibration fatigue remains a huge gap to improve the survival probability when the rail vehicle is subjected to vibration fatigue.Originality/valueThe research can facilitate the development of a new methodology to improve the fatigue life of railway vehicles when subjected to wheel/rail high frequency vibration.

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Section: Wheel/rail High Frequency Vibration In Railway Bogiementioning

confidence: 99%

Section: Rs 32mentioning

confidence: 99%

A critical review of wheel/rail high frequency vibration-induced vibration fatigue of railway bogie in China

Wu,

Zhang,

Cai

et al. 2024

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“…However, the harsh service conditions of rail train axlebox bearings, including wheel–rail friction wear, time–varying coupling wheel–rail impact excitation, non–smooth load excitation of the vehicle body, and non–linear speed excitation of the bogie can lead to various localized failures [ 3 , 4 , 5 , 6 , 7 ]. Statistical data reveal that bearing faults in rail vehicles are primarily concentrated in the cage, inner and outer races, and rolling elements, with a higher incidence of faults occurring in high–speed, heavy–duty operating conditions [ 8 , 9 , 10 , 11 ]. Therefore, accurate diagnosis of single and compound faults of axlebox bearings is crucial to ensure the healthy service state of these components and maintain the reliable operation of rail trains.…”

Section: Introductionmentioning

confidence: 99%

Train Axlebox Bearing Fault Diagnosis Based on MSC–SGMD

Bai,

Xue,

Chen

2023

Sensors

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Train axlebox bearings are subject to harsh service conditions, and the difficulty of diagnosing compound faults has brought greater challenges to the maintenance of high–quality train performance. In this paper, based on the traditional symplectic geometry mode decomposition (SGMD) algorithm, a maximum spectral coherence signal reconstruction algorithm is proposed to extract the intrinsic connection between the SGMD components with the help of the frequency domain coherence idea and reconstruct the key signal components so as to effectively improve the extraction of composite fault features of axlebox bearings under different speed conditions. Firstly, based on the traditional SGMD algorithm, the vibration signal of the axle box is decomposed to extract its symplectic geometry components (SGCs). Secondly, the spectral coherence coefficient between the SGCs is calculated, and the signal in which the maximum value is located is taken as the key component for the additive reconstruction Finally, the envelope spectrum is used to extract the reconstructed signal fault features. The inner race, outer race, and compound bearing failure vibration signal acquisition under different speed conditions were carried out on the equal scale axlebox bearing failure simulation test bench, and the effectiveness of the proposed algorithm was verified based on the axlebox vertical acceleration signal.

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“…Jin et al [8] carried out a detailed analysis and summarized the transverse wear of China's high-speed wheel and rail and proposed seven measures to suppress or slow down the concave wear near the nominal rolling circle of the wheel. The influence of out-of-round railway wheels on the dynamic characteristics of the wheel-rail systems were studied by the authors of [9][10][11]. Wang et al [12] explored the variability of rail wear on heavy-haul railways under different conditions.…”

Section: Introductionmentioning

confidence: 99%

Wear Prediction of Curved Switch Rail in High-Speed Turnout and Influence of Wheel and Rail Wear on Vehicle Dynamic Performance

Yan

Jin

et al. 2023

Applied Sciences

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A wear prediction model is built to research the wear of the curved switch rail in a high-speed turnout. The Archard wear model is used in the wear prediction model to analyze the profile evolution law. The non-Hertzian contact Kik–Piotrowski method based on virtual penetration is used as the contact algorithm for the Archard wear model. A dynamic model of the vehicle–curved switch rail system based on the predicted profiles of the curved switch rail and the measured wheel profiles with different stages is established. The effect of the wheel and curved switch rail profiles’ wear on vehicle dynamic performance is analyzed. The results show that the wheel completely transitions from the stock rail to the curved switch rail between 35 and 50 mm head widths. As the head width of the curved switch rail increased, the position of the maximum wear depth gradually moved to the gauge shoulder. When the total passing weight of the train is 50 Mt, the 20 mm head width curved switch rail side wear reaches a maximum of 5.3 mm. The position in which the wheel transitions from the stock rail to the curved switch rail will be further away from the tip of the curved switch rail due to wheel–rail wear. Regarding the derailment coefficient, the wheel–rail vertical force and lateral force are both significantly impacted. However, they have little effect on the vertical and lateral acceleration of the vehicle. The wear of the wheels and rails has a higher impact on vehicle driving safety and a lower impact on vehicle driving stability.

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Out-of-round railway wheels and polygonisation

Cited by 27 publications

References 123 publications

A critical review of wheel/rail high frequency vibration-induced vibration fatigue of railway bogie in China

A critical review of wheel/rail high frequency vibration-induced vibration fatigue of railway bogie in China

Train Axlebox Bearing Fault Diagnosis Based on MSC–SGMD

Wear Prediction of Curved Switch Rail in High-Speed Turnout and Influence of Wheel and Rail Wear on Vehicle Dynamic Performance

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