Dynamics and Fatigue Analysis of Planetary Gear Trains under Random Loading

随机载荷下行星齿轮系的动力学和疲劳分析

• 批准号: RGPIN-2015-04261
• 负责人: Yang, Jianming
• 金额: $ 1.6万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=678668
• 关键词: Dynamics; Fatigue; Analysis; Planetary; Gear

Planetary Gear Trains (PGTs) are widely used in industry and many other applications. In some of the applications, the loads to which the PGTs are subjected are random/stochastic. Two representative scenarios where PGTs are used as a transmission unit, and subjected to random loads include wind turbines in wind energy industry and directional drilling in oil and gas industry. Fatigue caused by the vibration in these systems is a outstanding issue in the industries, and has huge economical consequence. However, the random nature of the vibration stresses largely hinders accurate fatigue prediction and proper fatigue management. ***The proposed research intends to systematically investigate the dynamics of PGTs under random loads, and develop effective fatigue prediction methods. Based on the two cases above, the internal excitations which are common to all PGTs and the external excitations which vary for different applications will be modeled as random processes. Experiments will be carried out to characterize the external excitation in drilling for which little is known at present. Then the statistics of the responses, including displacement, velocity, stresses and strains, could be solved for with numerical and analytic methods. These statistic information constitutes the basis for further fatigue prediction. It is expected that, through this proposed research, the reliability and fatigue life of PGTs in both wind turbines and drilling could be improved. The long term goal is to develop a theoretical framework for random dynamics of PGTs in general random context; thus, the method and algorithms can be applied to and benefit broader applications, such as applications in off-shore engineering and land vehicles.  *** **

行星齿轮火车（PGT）在行业和许多其他应用中广泛使用。在某些应用中，对PGT的负载是随机/随机的。 PGT用作传输单元并承受随机负载的两种代表性场景包括风能行业中的风力涡轮机和石油和天然气行业的定向钻探。这些系统振动引起的疲劳是行业的一个重大问题，并且具有巨大的经济后果。但是，振动的随机性质在很大程度上阻碍了准确的疲劳预测和适当的疲劳管理。 ***拟议的研究旨在系统地研究随机载荷下PGT的动力学，并开发有效的疲劳预测方法。基于上面的两种情况，所有PGT共有的内部兴奋以及不同应用程序变化的外部兴奋将被建模为随机过程。将进行实验，以表征目前几乎没有知道的钻孔的外部兴奋。然后，可以通过数值和分析方法来解决响应的统计数据，包括位移，速度，应力和菌株。这些统计信息构成了进一步疲劳预测的基础。预计，通过这项拟议的研究，可以改善风力涡轮机和钻孔的PGT的可靠性和疲劳寿命。长期目标是在一般随机上下文中为PGT的随机动力学开发一个理论框架。因此，该方法和算法可以应用于并受益于更广泛的应用，例如在离岸工程和陆地车辆中的应用。 *****