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A Predictive Approach to Modelling Frictional Joint Performance (PAMFJP)

摩擦接头性能建模的预测方法 (PAMFJP)

基本信息

批准号：
EP/E057985/1
负责人：
Andrew Olver
金额：
$ 54.86万
依托单位：
Imperial College London
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2007
资助国家：
英国
起止时间：
2007 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FE057985%2F1
关键词：
Predictive Approach Modelling Frictional Joint

项目摘要

The proposed research aims to address the problems inherent in predicting the behaviour of frictional joints. Such joints are an important feature of a wide range of engineering products. Joint behaviour can be beneficial (e.g. by introducing frictional damping and controlling vibration amplitude) or detrimental (e.g. by inducing accelerated wear of fatigue failure). Whilst models now exist for some of these phenomena, it is at present difficult to predict the frictional behaviour of an interface in advance without making experimental measurements under representative conditions. Indeed, uncertainties associated with the behaviour of frictional joints are one of the remaining obstacles to reliable prediction of vibration amplitides and resulting component life.The proposed work addresses the difficulteis outlined above through a combined experimental and modelling programme undertaken by two leading groups in the traditionally separate areas of vibration and structural integrity. The work will be undertaken from a common standpoint and will result in a holistic approach which is valuable to both communities. Intitially, measurements will be made of joint performance using two standard geometries and two material pairs. Measurements will then be taken to characterise the surface topography, material properties, and interface behaviour at microstructural and asperity scales. These measurements will provide input for modelling of the contact, initially at the scale of a single asperity, but later generalised using statistical methods to provide predictions of overall contact behaviour. These predictions will be based on recent developments in the understanding of interface behaviour at the micro- and nano- scales.Finally, validation experiments will be carried out. These will be carefully chosen to give validation of the model in circumstances which differ significantly from the initial characterisation experiments. The overall output of the proposed work will be an enhanced understanding and predictive modelling approach for frictional joints in engineering assemblies such as gas turbine engines. The result will be increased confidence in joint (and therefore overall system) performance, and a reduction in the need for characterisation experiments.

所提出的研究旨在解决预测摩擦接头行为所固有的问题。这种接头是多种工程产品的重要特征。接头行为可能是有益的（例如，通过引入摩擦阻尼和控制振动幅度），也可能是有害的（例如，通过引起疲劳失效的加速磨损）。虽然现在存在针对其中一些现象的模型，但目前很难在代表性条件下进行实验测量的情况下提前预测界面的摩擦行为。事实上，与摩擦接头行为相关的不确定性是可靠预测振动幅度和由此产生的部件寿命的剩余障碍之一。所提出的工作通过由传统上独立的振动和结构完整性领域的两个领先小组进行的组合实验和建模计划解决了上述困难。这项工作将从共同的角度进行，并将产生对两个社区都有价值的整体方法。最初，将使用两种标准几何形状和两种材料对来测量接头性能。然后进行测量，以表征微观结构和粗糙度尺度上的表面形貌、材料特性和界面行为。这些测量将为接触建模提供输入，最初是在单个粗糙度的范围内，但后来使用统计方法进行概括，以提供总体接触行为的预测。这些预测将基于对微米和纳米尺度界面行为的理解的最新进展。最后，将进行验证实验。这些将被仔细选择，以便在与初始表征实验显着不同的情况下验证模型。拟议工作的总体成果将是增强对燃气涡轮发动机等工程组件中摩擦接头的理解和预测建模方法。其结果将增加对联合（以及整个系统）性能的信心，并减少表征实验的需要。