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首页> 外文期刊>SAE International Journal of Engines >Prediction of Fatigue Strength of Motorcycle Exhaust System Considering Vibrating and Thermal Stresses
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Prediction of Fatigue Strength of Motorcycle Exhaust System Considering Vibrating and Thermal Stresses

机译:考虑振动和热应力的摩托车排气系统疲劳强度预测

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摘要

A method applicable in the design stage to predict fatigue strength of a motorcycle exhaust system was developed. In this prediction method, a vibrating stress, thermal stresses, stresses resulting from the assembling of the exhaust system components and a deterioration of fatigue strength of materials originated from high temperature were simultaneously taken into account. For the prediction of the vibrating stress, flexible multibody dynamics was applied to get modeling accuracy for vibration characteristics of the entire motorcycle and the exciting force delivered from engine vibrations. The thermal conduction analysis and the thermal deformation analysis based on finite element method (FEM) were applied for the prediction of thermal stresses in the exhaust system components. The temperature distribution on the surfaces of the exhaust system components is required for calculations of the thermal stresses. The heat transfer analysis, which was composed by combing a one-dimensional (1D) engine cycle simulation and an air flow simulation around the vehicle by 3D-CFD, was used for the estimation of temperature distributions. To validate the developed method, the correlations between the simulations and the actual measurements were analyzed for the vibrating stress, the temperature distribution, the thermal stresses and the fatigue safety factor. High correlations were yielded between them proving the validity of the new method.
机译:开发了一种用于预测摩托车排气系统的疲劳强度的设计阶段的方法。在这种预测方法中,同时考虑振动应力,热应力,由排气系统组件的组装产生的应力以及源自高温的材料的疲劳强度的劣化。为了预测振动应力,应用灵活的多体动力学来获得整个摩托车的振动特性的建模精度,以及从发动机振动输送的励磁力。基于有限元法(FEM)的热传导分析和热变形分析用于预测排气系统部件中的热应力。需要在排气系统部件的表面上的温度分布来计算热应力。通过梳理一维(1D)发动机循环模拟和通过3D-CFD围绕车辆的空气流模拟来组成的传热分析用于估计温度分布。为了验证开发的方法,分析了模拟与实际测量之间的相关性,用于振动应力,温度分布,热应力和疲劳安全系数。在它们之间产生高相关性证明了新方法的有效性。

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