Optimal design method of low-wear high-speed train wheel profile

A high-speed train, optimized design technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as lack of optimization of wheel rims

Inactive Publication Date: 2014-09-10
EAST CHINA JIAOTONG UNIVERSITY +1
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Problems solved by technology

[0004] The optimization of the wheel profile needs to comprehensively consider various factors such as the vehicle, track structure, mechanical properties, and operating conditions. At presen

Method used

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  • Optimal design method of low-wear high-speed train wheel profile
  • Optimal design method of low-wear high-speed train wheel profile
  • Optimal design method of low-wear high-speed train wheel profile

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Embodiment Construction

[0061] The specific embodiment of the present invention is as follows;

[0062] In this embodiment, the total length of the curve within x=[1,120]mm of the high-speed train wheel profile is divided into 14, 19, and 24 segments of equal arc length, and N=15, 20, and 25 discrete coordinate points are obtained, which are set as type value point d i (i=0,1...,n), establish a parametric design method for NURBS curves, and calculate the correlation coefficients between the fitting curves and CN curves in the three cases are 0.83, 0.93, 0.97, and select 19 after comparative analysis The segment segmentation method takes N=20 value points to satisfy the good description of the shape of the wheel surface, and obtains the NURBS parametric curve and the abscissa positions of the value points, as shown in Table 1.

[0063] Table 1 The coordinate points of the arc length division of 19 equal parts of the high-speed train wheel profile curve

[0064]

[0065] shown. With its correspon...

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Abstract

An optimal design method of a low-wear high-speed train wheel profile is characterized in that a curve of the high-speed train wheel profile is divided via equal arc length, N discrete coordinate points are used as data points, and a wheel profile curve is reconfigured; vertical coordinates of N data apexes are used as design variables, a circuit average for reducing wheel wear consumption and wheel track transverse force are used as target functions, wheel profile wear statistics and concavity and continuity of the profile curve are used as geometric constraints, a high-speed train wheel profile multi-target optimization model is established, and the model is subjected to multi-target optimizing calculation. Results show that contact points of a rim portion of the profile and the side of a track are significantly reduced, and line average of each single wheel for low wear consumption is 26.8% lower than that of the original standard profile; the wheel track transverse force of the wheel is reduced; root-mean-square values of the wheel track transverse forces of left and right wheels are decreased by 17.6% and 18.3% respectively; root-mean-square values of maximum contact stresses of the left and right wheels are decreased by 21.6% and 19.8% respectively; root-mean-square values of derailment coefficients of the left and right wheels are decreased by 9.5% and 6.2% respectively.

Description

technical field [0001] The invention relates to a low-wear high-speed train wheel profile optimization design method, which belongs to the technical field of high-speed train wheels. Background technique [0002] The wheel profile is an important parameter that determines the dynamic performance of high-speed train vehicles such as meandering stability, curve passing performance, wheel-rail wear, and derailment safety. In the optimal design of the wheel profile, it is necessary to repeatedly modify the profile curve and calculate the performance, so it is particularly important to adopt a reasonable profile parametric design. At present, there are several methods for mathematical description of the wheel profile: 1) The mathematical fitting method of finite discrete points, such as Shevtsov et al., takes the vertical coordinate of the wheel profile as the design variable and the rolling radius difference of the wheel as the objective function to establish Wheel profile opti...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 林凤涛董孝卿
Owner EAST CHINA JIAOTONG UNIVERSITY
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