首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology >Numerical solutions for the elastic deformation of spherical bearing surfaces of metal-on-metalhip joint implants
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Numerical solutions for the elastic deformation of spherical bearing surfaces of metal-on-metalhip joint implants

机译:金属对金属髋关节植入物球形支承面弹性变形的数值解

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On the elastohydrodynamic lubrication analysis, one of the most time-consuming issues is the calculation of surface deformation. Two methods are usually adopted to fasten the calculation: the multi-level multi-integration (MLMI) and the fast Fourier transform (FFT). However, in spherical models such as for hip joint replacements, the finite-element method has to be employed instead of analytical formulations to determine the influence coefficients. It limits the coarsest grid to 60 × 60 points to ensure numerical accuracy. This limitation prevents the MLMI to achieve high performance. Therefore, a combined MLMI and FFT method is proposed. The basic idea is to replace the direct summation on the coarse grids in the MLMI by the FFT algorithm. The combined method is validated by comparing to the individual MLMI and FFT. The combined method is found to perform fastest. In solving a quasi-static elastohydrodynamic lubrication solution, approximately 65 per cent less CPU time is required on grid 512 × 512, and the accuracy is not affected. For the usual semi-infinite plane models, sometimes a large number of levels can cause a lot of additional operations and storage space when translating data between the levels. The combined MLMI and FFT method can be an alternative way to choose the coarse grid more flexibly, reduce the number of grid levels, and optimize the computing performance.
机译:在弹性流体动力润滑分析中,最耗时的问题之一是表面变形的计算。通常采用两种方法来加快计算速度:多级多积分(MLMI)和快速傅里叶变换(FFT)。但是,在球形模型(例如髋关节置换术)中,必须使用有限元方法代替解析公式来确定影响系数。它将最粗的网格限制为60×60点,以确保数值精度。此限制使MLMI无法获得高性能。因此,提出了一种结合MLMI和FFT的方法。基本思想是用FFT算法代替MLMI中的粗网格上的直接求和。通过与单独的MLMI和FFT进行比较来验证组合方法。发现组合方法执行最快。在解决准静态弹性流体动力润滑解决方案中,在512×512网格上所需的CPU时间减少了大约65%,并且准确性不会受到影响。对于通常的半无限平面模型,有时在关卡之间转换数据时,许多关卡可能会导致大量其他操作和存储空间。结合使用MLMI和FFT方法可以是更灵活地选择粗网格,减少网格级别数并优化计算性能的另一种方法。

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