CN106446387A - Fatigue life prediction method of high-speed magnetic levitation train brake magnet connecting device - Google Patents
Fatigue life prediction method of high-speed magnetic levitation train brake magnet connecting device Download PDFInfo
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- CN106446387A CN106446387A CN201610826240.6A CN201610826240A CN106446387A CN 106446387 A CN106446387 A CN 106446387A CN 201610826240 A CN201610826240 A CN 201610826240A CN 106446387 A CN106446387 A CN 106446387A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
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Abstract
Provided is a fatigue life prediction method of a high-speed magnetic levitation train brake magnet connecting device. The method comprises the steps that firstly, the static strength calculation load, the fatigue strength calculation load and an S-N curve of a part are determined; secondly, a three-dimensional solid model of the brake magnet connecting device part is introduced into finite element analysis software, and a finite element analysis model of the part is built; thirdly, statics analysis is conducted by combining the load borne by the part and the constraint conditions of finite elements, and whether the stiffness and the strength of the part meet the train running requirements or not is checked; lastly, a key point in the brake magnet connecting device is selected on the basis of a statics analysis result, the equivalent average stress and the stress amplitude of the key point are determined, fatigue strength analysis is conducted on the part, whether the fatigue strength of the structure meets the using requirement or not is inspected, and then fatigue life prediction of the part is completed. The method can be used for predicting the fatigue life of the brake magnet connecting device arranged between a brake electromagnet and a levitation frame under the long-term alternating load work condition, and the train running safety is guaranteed.
Description
Technical field:
The present invention relates to the method for running mechanism key components and partss Fatigue Strength Prediction, is to ensure train operating safety, and
The optimization of the structure and performance for brake magnet attachment means provides reliable and practical method, specially high-speed maglev train
The fatigue life prediction of brake magnet attachment means.
Background technology:
With the development of modern science and technology, at a high speed, steadily, safety, free of contamination magnetic suspension train has become as 21 century people
The preferable vehicles of class.Magnetic suspension train is contacted with mechanical between track in running under power, fundamentally overcomes biography
The problems such as system train adhesion restriction, mechanical noise and abrasion, become the most fast ground traffic toolses in the world today.
High-speed maglev train operating condition complexity, braking electromagnetic connector is used as between brake magnet and suspension rack
Connector, is the very important ingredient of magnetic suspension train.During train high-speed cruising, Breake Electromagnet attachment means
Bear dead load, bear dynamic loading again, therefore its load-carrying properties and fatigue life be directly connected to the safety of magnetic suspension train
Property and reliability, it is one of the key structure for determining magnetic suspension train overall performance.
During train high-speed cruising, brake magnet attachment means are chronically under dynamic alternate load and work, easily
Generation fatigue rupture, so as to seriously threaten the traffic safety of train, therefore pre- to the reliability of the fatigue life of this key structure
Survey also just particularly important.
Content of the invention:
The purpose of the present invention be based on rubber elastic joint 1, bearing pin 2, triangle connection element seat 3, triangle connection element 4, pull bar
Pad 5, axle 6, rubber 7, the three-dimensional model structure of rubber axle sleeve 8, finite element analyses and static strength, Fatigue Strength Analysis, carry
For a kind of reality method reliably to high-speed maglev train Magnet attachment means fatigue life prediction, it is reliable and practical walking
Row mechanism key components and partss Fatigue Strength Prediction method, in order to ensure high-speed maglev train traffic safety.
Technical solution of the present invention:
A kind of method for high-speed maglev train brake magnet attachment means fatigue life prediction, it is characterised in that
The method is broadly divided into 4 steps:Basic Theory Analysis are carried out first, according to structure and the work original of brake magnet attachment means
Reason sets up threedimensional model, determines the static strength assumed (specified) load of parts, Calculation of Fatigue Strength load and S-N curve;Secondly set up
FEM (finite element) model, imports the 3D solid mould of the brake magnet attachment means part of previous step foundation in finite element analysis software
Type, analyzes stress distribution and the total deformation distribution of all parts, determines the key point of brake magnet attachment means;Then in conjunction with portion
The load that part bears and the constraints of finite element carry out statics Analysis, check the rigidity of parts and whether intensity meets
Train operation is required while carrying out the analysis of Fatigue-life of parts;It is finally based on the result of statics Analysis and brake magnet connects
Key point in connection device, is determined average eguivalent stress and the stress amplitude of key point, is repaiied using SN-Goodman mean stress
Positive theoretical, Fatigue Strength Analysis being carried out to part, checks whether the fatigue strength of structure meets use requirement, completes part fatigue
The prediction in life-span.The method can be used for prediction as the brake magnet attachment means between Breake Electromagnet and suspension rack long-term
The prediction of the fatigue life under alternate load operating mode, can ensure the safety of train operation, and the optimization of alternatively product sets
Meter provides basis, with great use value and realistic meaning.
Mainly include 4 steps.
The first step:Rationale.The threedimensional model of equipment entirety is set up, according to its operation principle, determines fatigue point
Analysis method, Strength co-mputation load and S-N curve.This step is mainly set up actual according to the structure & working mechanism of equipment
Threedimensional model, is that necessary model basis is set up in the finite element analyses of next step.
Second step:FEM (finite element) model.The model for being determined by previous step is imported in finite element analysis software, in conjunction with born
The constraints of load and finite element is analyzed.This step is mainly based upon the model of previous step and carries out finite element analyses, point
The stress distribution of all parts of analysis equipment and total deformation distribution, determine the key point of next step static analysis.
3rd step:Static strength, Fatigue Strength Analysis.Constraints and part according to finite element analyses obtained in the previous step
The load that bears, in conjunction with statics Analysis, checks the rigidity of parts and whether intensity meets specific job requirement.This step
The main analysis of Fatigue-life for carrying out parts using static strength and Fatigue Strength Analysis, is that next step specific fatigue life is pre-
Survey and set up basis.
4th step:Fatigue life prediction.Static analysis result and key point based on previous step, determines the equivalent of key point
Mean stress and stress amplitude, using SN-Goodman mean stress revised theory, check whether the fatigue strength of structure meets
Use requirement, completes the prediction of part fatigue life.This step is mainly all analyses that does before synthesis, completes equipment
The prediction of fatigue life.
The method is applied to the fatigue life prediction of high-speed maglev train brake magnet attachment means, with following excellent
Point:
1. the present invention is by the structural model of the parts, and FEM (finite element) model and static strength, Fatigue Strength Analysis are carrying out
Tired
Labor biometry.The evaluation time in life-span is not only saved, can largely reduce experimentation cost again.
2. present invention determine that being susceptible to the pass of fatigue rupture in high-speed maglev train Breake Electromagnet attachment means
Key
Point, is to optimize product structure in the later stage there is provided reliable design considerationss.
3. the present invention has important directive significance to the key components and partss test of running mechanism, and for shortening Related product
Grind
In the cycle of sending out, ensure that high-speed maglev train traffic safety provides important theoretical foundation.
Description of the drawings:
Fig. 1 Study on Fatigue Life method schematic diagram.
Fig. 2 application high-speed maglev train brake magnet attachment means structural representation of the present invention.
Fig. 3 is brake magnet attachment means rubber elastic joint structural representation.
Specific embodiment
With reference to the accompanying drawings and examples the present invention is described in further detail.
Application examples
The object of application of the present invention is high-speed maglev train brake magnet attachment means.Its structure composition is caoutchouc elasticity
Joint 1, bearing pin 2, triangle connection element seat 3, triangle connection element 4.Wherein brake magnet attachment means rubber elastic joint structure is
Pull bar pad 5, axle 6, rubber 7, rubber axle sleeve 8.
First,
First threedimensional model is set up according to the operation principle of brake magnet linked set and structure, then true to constituting structure
Determine material parameter and be analyzed.
Material for bearing pin 2 is 42CrMo4, and the material of triangle connection element seat 3 and triangle connection element 4 is
AlMgSilF28, the material of longitudinal fork oscillating bearing inner ring is 42Cr, they is analyzed using linear constitutive model, power
Learn parameter as shown in table 1.
1 metal material mechanics performance of table
For continuous Jie of the rubber 7 in rubber elastic joint structure using heating power statistical models and based on phenomenological theory
Matter mechanical model carrys out the mechanical characteristic of simulated rubber material, and the material mechanical performance of natural rubber is as shown in table 2.Based on these ginsengs
Number sets up the threedimensional model of brake magnet attachment means.
The material mechanical performance of 2 natural rubber of table
2nd,
Then the brake magnet attachment means threedimensional model of previous step foundation is imported in ANSYS workbench, to three
Dimension module carries out stress and strain model, altogether partitioning site 78306, grid 37507, and to braking the FEM (finite element) model of attachment means
Apply fixed constraint and bearing load.Further according to the actual condition of high-speed maglev train, brake magnet attachment means are determined
Fatigue strength load is as shown in table 3.Brake magnet attachment means under the fatigue load operating mode of table 3, its finite element analysis should
Power result is:Metal part maximum von Mises stress value is 25.746MPa, occurs in longitudinal fork oscillating bearing outer ring;Vertical
Occur on the inside of rubber element to the rubber element maximum von Mises stress of fork oscillating bearing, stress value is 1.004MPa;
The deformation of brake magnet attachment means maximum occurs at rubber element in brake magnet attachment means, and maximum total deformation is
1.384mm.
3 brake magnet attachment means fatigue strength load of table
3rd, the mechanical fatigue of elastomeric material can be expressed as under Dynamical stress effect, and crackle slowly increases and causes rubber
The phenomenon of mechanical properties decrease.But there is fatigue crack and might not assert state of the rubber in fatigue failure.But with
The increase of fatigue test cycle-index, the breakoff phenomenon of rubber local can cause the continuous decline of elasticity modulus of materials and intensity,
It is not enough to, until its intensity drops to, the degree for bearing specified fatigue load.As the elastic modelling quantity of rubber element is difficult to survey
Amount, during fatigue test, typically judges the failure degree of product with rubber element Static stiffness loss rate.Currently for rubber
The failure of glue element Static stiffness does not have unified standard, according to the actual bearer characteristic requirements of brake magnet device, selects Static stiffness
Loss rate declines 20% as its fatigue failure standard.
4th,
Again brake magnet attachment means stress analysis result, metal and elastomeric material S-N Fatigue Life Curve are imported with
Finite element analysis software, in conjunction with the fatigue load operating mode of table 3, obtains forecasting fatigue life-span lowest point for the rubber in elastic joint 1
Element 7, the forecasting fatigue life-span is circulated for 100,000 times.In order to verify the accurate of brake magnet attachment means fatigue life prediction result
Property, checking brake magnet attachment means have been carried out with the fatigue test under identical fatigue operating loading.As fatigue test is circulated
The increase of number of times, in brake magnet attachment means, the Static stiffness of rubber element constantly declines, and initial Static stiffness K1 is about 6.64kN/
Mm, after fatigue loading 100,000 times, the Static stiffness K2 of rubber element drops to 5.81kN/mm, Static stiffness loss rate be 12.5%, full
Sufficient engineering bearer properties are required.
The object applied by the inventive method is Breake Electromagnet and the connector of suspension rack, it is characterized in that:Ensure braking
The rigidity positioning of electric magnet;Brake force is delivered evenly on adjacent suspension rack, and plays certain damping effect;Limit
Breake Electromagnet acts on the captivation on guided way;Compensate the dynamic relative movements between adjacent suspension rack and brake magnet.
Claims (1)
1. a kind of method for high-speed maglev train brake magnet attachment means fatigue life prediction, it is characterised in that
Including 4 steps.
The first step:Rationale:
Set up equipment entirety threedimensional model, according to its operation principle, determine fatigue analysis method, Strength co-mputation load and
S-N curve;
Second step:FEM (finite element) model:
The model for being determined by previous step is imported in finite element analysis software, in conjunction with the load that bears and the constraints of finite element
It is analyzed;
3rd step:Static strength, Fatigue Strength Analysis:
According to the load that the constraints of finite element analyses obtained in the previous step and part bear, in conjunction with statics Analysis, check
Whether the rigidity and intensity of parts meets specific job requirement:
4th step:Fatigue life prediction:
Static analysis result and key point based on previous step, determines average eguivalent stress and the stress amplitude of key point, adopts
SN-Goodman mean stress revised theory, checks whether the fatigue strength of structure meets use requirement, completes the part fatigue longevity
The prediction of life.
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Cited By (6)
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CN108062441A (en) * | 2017-12-12 | 2018-05-22 | 广州电力机车有限公司 | A kind of design method of capacity of the tipping body |
CN108520118A (en) * | 2018-03-26 | 2018-09-11 | 江铃控股有限公司 | The analysis method of Automotive Drawbar intensity |
CN108664745A (en) * | 2018-05-16 | 2018-10-16 | 东北大学 | A kind of large welded structures part fatigue load equivalent conversion method |
CN111625910A (en) * | 2020-05-29 | 2020-09-04 | 华东交通大学 | Static strength and fatigue constraint-based compliant mechanism topology optimization method |
CN112231953A (en) * | 2020-10-14 | 2021-01-15 | 西安热工研究院有限公司 | Method for improving fatigue strength of plug seat of emergency diesel engine of nuclear power station |
CN117131748A (en) * | 2023-10-26 | 2023-11-28 | 湖南云箭科技有限公司 | Structure anti-fatigue analysis method and system based on static and dynamic fatigue analysis |
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108062441A (en) * | 2017-12-12 | 2018-05-22 | 广州电力机车有限公司 | A kind of design method of capacity of the tipping body |
CN108520118A (en) * | 2018-03-26 | 2018-09-11 | 江铃控股有限公司 | The analysis method of Automotive Drawbar intensity |
CN108664745A (en) * | 2018-05-16 | 2018-10-16 | 东北大学 | A kind of large welded structures part fatigue load equivalent conversion method |
CN108664745B (en) * | 2018-05-16 | 2021-06-25 | 东北大学 | Fatigue load equivalent conversion method for large-scale welded structural part |
CN111625910A (en) * | 2020-05-29 | 2020-09-04 | 华东交通大学 | Static strength and fatigue constraint-based compliant mechanism topology optimization method |
CN111625910B (en) * | 2020-05-29 | 2022-06-07 | 华东交通大学 | Static strength and fatigue constraint-based compliant mechanism topology optimization method |
CN112231953A (en) * | 2020-10-14 | 2021-01-15 | 西安热工研究院有限公司 | Method for improving fatigue strength of plug seat of emergency diesel engine of nuclear power station |
CN117131748A (en) * | 2023-10-26 | 2023-11-28 | 湖南云箭科技有限公司 | Structure anti-fatigue analysis method and system based on static and dynamic fatigue analysis |
CN117131748B (en) * | 2023-10-26 | 2024-01-30 | 湖南云箭科技有限公司 | Structure anti-fatigue analysis method and system based on static and dynamic fatigue analysis |
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Application publication date: 20170222 |