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Pin on flat wear volume prediction of UHMWPE against cp Ti for orthopedic applications

机译:针对矫形应用CP TI的UHMWPE平面磨损体积预测

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Tribological assessment of orthopedic biomaterials requires a lot of testing time. Researchers must test the biomaterials in millions of cycles at low frequency (1 Hz) to mimic the in vivo conditions. It is a problem because product designs and developments could not wait longer for wear data to predict the lifetime of their products. The problem can be solved with the use of computation techniques to model the wear phenomena and provide predicted data. The aim of this research is to predict the wear volume of the commonly used ultra high molecular weight polyethylene (UHMWPE) sliding against commercially pure titanium (cp Ti) in the unidirectional pin on flat tests. The 9 mm diameter UHMWPE pin and cp Ti plate contact mechanics were modeled using Abaqus. Contact pressure was set at 3 MPa. Outputs of the computations (contact pressure and contact area) were used to calculate the wear volume with Archard law. A custom Python script was made to automate the process. The results were then compared with experimental data for validations. The predicted data were in a good trend with numerical errors from 0.3% up to 26%.
机译:骨科生物材料的摩擦学评估需要大量的测试时间。研究人员必须在低频(1 Hz)以百万次循环中测试生物材料以模拟体内条件。这是一个问题,因为产品设计和发展不可能等待佩戴数据以预测其产品的寿命。使用计算技术来模拟磨损现象并提供预测数据来解决问题。该研究的目的是预测常用的超高分子量聚乙烯(UHMWPE)的磨损体积在平坦测试上的单向销中滑动的常用超高分子量聚乙烯(UHMWPE)的耐磨体积。使用ABAQUS建模9毫米直径的UHMWPE引脚和CP TI板接触机械。接触压力设定为3MPa。计算(接触压力和接触面积)的输出用于计算与Archard Lave的磨损体积。进行自定义Python脚本以自动执行该过程。然后将结果与实验数据进行比较进行验证。预测数据处于良好的趋势,数值误差为0.3%,高达26%。

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