2019
DOI: 10.1016/j.wear.2019.01.099
|View full text |Cite
|
Sign up to set email alerts
|

A study of formation of high order wheel polygonalization

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
34
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
2

Relationship

1
5

Authors

Journals

citations
Cited by 71 publications
(34 citation statements)
references
References 38 publications
0
34
0
Order By: Relevance
“…Kalousek and Johnson [8] (2) P2 resonance Nielsen et al [5], Johansson and Andersson [74], Tao et al [14], Li et al [17], and Cai et al [75] (3) Frictional self-excited vibration of a wheelset-track system Chen et al [76,77], Zhao et al [78], and Wu et al [79] (4) Lower bending or torsional modes of the wheelset Morys [20], Jin et al [80], Yang et al [15], Tao et al [16,[81][82][83], Fröhling et al [84], and Spangenberg [85] (5) Bending vibration modes of the rail or track Johansson and Andersson [74], Wu et al [86], Cai et al [87], Dai et al [88], and Qu et al [89] (6) Excited resonance of the bogie Wu et al [90] and Guo et al [91] (7) Vibration of other components of the bogie Ma et al [92], Liu et al [93], and Fu et al [94] 3. Thermoelastic instability Nielsen et al [5] (Summary) and Vernersson [95,96] with three harmonics.…”
Section: Induced By Initial Wheel Defectsmentioning
confidence: 99%
See 2 more Smart Citations
“…Kalousek and Johnson [8] (2) P2 resonance Nielsen et al [5], Johansson and Andersson [74], Tao et al [14], Li et al [17], and Cai et al [75] (3) Frictional self-excited vibration of a wheelset-track system Chen et al [76,77], Zhao et al [78], and Wu et al [79] (4) Lower bending or torsional modes of the wheelset Morys [20], Jin et al [80], Yang et al [15], Tao et al [16,[81][82][83], Fröhling et al [84], and Spangenberg [85] (5) Bending vibration modes of the rail or track Johansson and Andersson [74], Wu et al [86], Cai et al [87], Dai et al [88], and Qu et al [89] (6) Excited resonance of the bogie Wu et al [90] and Guo et al [91] (7) Vibration of other components of the bogie Ma et al [92], Liu et al [93], and Fu et al [94] 3. Thermoelastic instability Nielsen et al [5] (Summary) and Vernersson [95,96] with three harmonics.…”
Section: Induced By Initial Wheel Defectsmentioning
confidence: 99%
“…Johansson and Andersson [74] simulated the wear evolution of wheel polygonisation and pointed out that the vertical track anti-resonance at 165 Hz was the main reason for the increase in wheel OOR with orders 14-20. Wu et al [86] and Cai et al [87] studied the formation process of high-order wheel polygonal wear of high-speed trains through simulation and concluded that the third bending vibration mode of the rail segment between two wheels of the same bogie was the primary contributor to the formation of high-order wheel polygonal wear. Dai et al [88] summarized the wheel polygonisation passing frequencies of different types of high-speed trains running on different types of ballastless tracks in China and found that the passing frequencies mainly depended on the sleeper span and wheelbase of the bogie.…”
Section: Bending Vibration Modes Of the Rail Or Trackmentioning
confidence: 99%
See 1 more Smart Citation
“…Model. Among many material wear hypotheses [34], the Archard model is widely used in the wheel/rail wear simulation due to its good accuracy [25,35,36], in which the volume of worn material V wear is defined as follows:…”
Section: Wearmentioning
confidence: 99%
“…Furthermore, the predicted polygonal wear is compared when using the flexible wheelset and rigid wheelset, the wear depth deviation after 25 iteration steps are plotted in Figure 20, and the result shows that the dominating order of the polygonal wear would not change when considering wheelset flexibility. However, the wheelset flexible vibration would accelerate the formation of P2 resonance-induced polygonal wear, and this is because the flexible mode leads to the larger wheel/rail creepage [27,35].…”
Section: Wheelset Flexibilitymentioning
confidence: 99%