Predicting Friction of Total Joint Replacement Bearings

预测全关节置换轴承的摩擦

• 批准号: 2745332
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2745332
• 关键词: Predicting; Friction; Total; Joint; Replacement

Whilst the wear of total joint replacements has been the focus of many clinical and pre-clinical studies, the friction acting at the sliding interface of the bearing component has not received the same attention. As orthopaedic technologies progress there is a need to better predict friction and understand its systemic effects on device longevity. Due to the use of new materials and designs, friction at the bearing surfaces has become more relevant for implant interfaces between modular components and the fixation to bone, both of which are implicated in clinical failure. Despite five decades of pre-clinical simulation of total joint replacements, a framework for the accurate prediction of friction when subjected to established pre-clinical testing methodologies does not exist. The aim of this project is to produce a computational framework for predicting friction and wear within a joint replacement bearing with concurrent experimental validation. Starting with a surface-scale mixed lubrication friction model, this will be extended to produce a multiscale computational simulation of the joint replacement bearing. This project will go beyond current phenomenological wear and lubrication models to provide a novel multiscale mixed lubrication (with elastohydrodynamic lubrication and contact mechanics) model of friction and wear.

虽然全关节置换的磨损一直是许多临床和临床前研究的焦点，但作用于关节面组件滑动界面的摩擦力尚未受到同样的关注。随着骨科技术的进步，需要更好地预测摩擦力并了解其对器械寿命的全身影响。由于使用了新材料和新设计，关节面处的摩擦与组配式部件之间的植入物界面和骨固定更加相关，这两者都与临床失效有关。尽管全关节置换的临床前模拟已有50年，但在接受既定临床前测试方法时，仍不存在准确预测摩擦力的框架。该项目的目的是建立一个计算框架，用于预测关节置换关节面内的摩擦和磨损，同时进行实验验证。从表面尺度混合润滑摩擦模型开始，这将被扩展到产生关节置换轴承的多尺度计算模拟。该项目将超越目前的现象学磨损和润滑模型，提供一种新的多尺度混合润滑（弹性流体动力润滑和接触力学）摩擦和磨损模型。