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A wheel profile multi-objective optimization method based on improved particle swarm optimization algorithm

A multi-objective optimization and particle swarm algorithm technology, applied in the field of train wheel design, can solve problems such as performance index decline, achieve the effects of reducing wheel and rail wear, prolonging normal service life, and reducing maintenance costs

Inactive Publication Date: 2019-03-01
NANJING UNIV OF SCI & TECH
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Problems solved by technology

From the review of the above research literature, we can see that most of the research methods are mainly to optimize the design of the main tread of the wheel, seldom face the entire wheel profile, aim at the wear of the wheel rim and consider the comprehensive dynamic performance of the vehicle; while the wheel profile is single Target-optimized design may lead to degradation of other performance indicators

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  • A wheel profile multi-objective optimization method based on improved particle swarm optimization algorithm
  • A wheel profile multi-objective optimization method based on improved particle swarm optimization algorithm
  • A wheel profile multi-objective optimization method based on improved particle swarm optimization algorithm

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Embodiment 1

[0113] Application of the present invention is based on the wheel profile multi-objective optimization method of improved particle swarm algorithm, and utilizes the simulation data that the computer simulation model gained by Simpack is set up to carry out experiment: select 3 kinds of line geometry models to set radius and be respectively 400m, 600m, 800m ideal For the curved line, the vehicle running speed is 60km / h, and the U.S. Class 5 track spectrum is selected as the track line excitation.

[0114] Select the RMS value of the wear index of the left wheel of the No. 1 wheel set as the research object, and compare and analyze the wear index of the two profiles under different curve radii. The simulation results are shown in Table 2:

[0115] Table 2 The wear index data of the first wheel pair and the left wheel when the two types of surfaces pass through with different curve radii

[0116]

[0117] Compare and analyze the statistical data in the table, draw the followin...

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Abstract

The invention discloses a wheel profile multi-objective optimization method based on an improved particle swarm algorithm. The methods are as follows: firstly, a multi-objective optimization model ofwheel profile based on NURBS theory is established; then wear index, derailment coefficient, lateral stationarity index and critical velocity are selected as optimization objective functions. Secondly, the multi-objective optimization model is established with the wheel-rail lateral force, wheel-axle lateral force and wheel load reduction rate as the dynamic constraint conditions, and the concavity, convexity, continuity and smoothness of the optimized profile curve as the geometrical constraint conditions. Finally, the improved particle swarm optimization algorithm is used to solve the multi-objective optimization model iteratively, and the optimized wheel profile with low wear is obtained. The invention is based on an improved particle swarm algorithm, and the optimized profile has goodvehicle running safety, running stability, curve passing performance and wheel / rail wear is reduced at the same time.

Description

technical field [0001] The invention belongs to the technical field of train wheel design, in particular to a multi-objective optimization method for a wheel profile based on an improved particle swarm algorithm. Background technique [0002] As one of the most critical components of the train vehicle system, the wheel not only bears all the interaction loads and direct impacts between the train and the running track, but also adheres to the track to generate the traction force of the train moving and the braking force at the station. When stationary, the wheels bear the entire weight of the train; when running at high speed on the track, the wheels additionally bear the vertical force transmitted by the interaction between the train and the track; when braking at the station, the wheels are constantly subjected to friction due to the extrusion force of the tread and the track surface force. The high-load working intensity makes the tread abrasion and peeling of the wheel, ...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/17G06F30/20Y02T10/40
Inventor 章清胡雪冰付宁朱佳伟邢宗义
Owner NANJING UNIV OF SCI & TECH
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