基于确保疲劳强度和减轻重量的转向架构架设计外文资料翻译

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1、Bogie frame design in consideration offatigue strength and weight reductionB H Parkand K Y LeeSchool of Mechanical Engineering,Yonsei University,Seoul,Republic of KoreaThe manuscript was received on 8 April 2005 and was accepted after revision for publication on 25 November 2005.DOI: 10.1243/0954409

2、7F01405Abstract: In the development of a bogie, the fatigue strength of a bogie frame is an important design criterion. In addition, weight reduction is required in order to save energy and material .In this study, the fatigue analysis of a bogie frame by using the finite-element method is performed

3、 for various loading conditions according to the UIC standards and it is attempted to minimize the weight of the bogie frame by artificial neural network and genetic algorithm.Keywords: bogie, strength, fatigue analysis, neural network, optimization.1 INTRODUCTIONA bogie in a train is a very importa

4、nt structural component loaded by various forces in the rail way vehicle motion. The motion of a railway vehicle is affect by the geometry of the track, the interaction between wheels and rails, the suspension, and the inertias of component part s. In the meantime, the weight of a bogie structure sh

5、ould be as light as possible at higher running speed. Therefore, the strength of the bogie should be carefully calculated and analysed by the international standards such as UIC 1 and JIS 2, in order to obtain a reasonable design scheme. In the past design process, the steps of many experiments, fie

6、ld tests, and prototypes to improve and obtain a reasonable design required much time and high costs. In the computer-aided engineering (CAE) product design step, however,the practical use of finite- element (FE) analysis can reduce the costs and time. The FE analysis of the bogie frame was studied

7、several times 3,4.In addition, the bogie has a large proportion of the total weight of a vehicle. Savings of energy and material are currently design drivers towards lightweight vehicle constructions. In CAE productdesign step, optimization for weight reduction and application of the optimal algorit

8、hm can make the light weight and the constraint conditions for the fatigue strength satisfy.It is a typical structural optimization problem to minimize the weight of the bogie under the fatigue constraint, but the problem cannot be solved by simply applying the existing numerical optimization algori

9、thms. In the problem, the fatigue constraint isnot expressed as an analytical function in terms of the design variables.In this article, the FE model of the bogie frame is constructed to simulate the fatigue test. The bogie that is used in this study is composed of welded frame, bolster, self-steeri

10、ng mechanism, primary suspension, secondary suspension, and disc brake system. The fatigue strength of the bogie frame is estimated by the international standard UIC615-4 Motive Power Units Bogies and Running Gear Bogie Frame Structure Strength Test. The optimization problem is composed of an object

11、 function for the weight reduction of the bogie and the constraint conditions for the fatigue design criteria. The artificial neural network (ANN) to approximate a function for the fatigue constraint and the micro genetic algorithm (MGA) are used to solve this optimization problem.2 STRESS ANALYSIS