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首页> 外文期刊>Journal of Biomechanics >Using reverse engineering and computational fluid dynamics to investigate a lower arm amputee swimmer's performance.
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Using reverse engineering and computational fluid dynamics to investigate a lower arm amputee swimmer's performance.

机译：使用逆向工程和计算流体动力学来研究下臂截肢游泳者的表现。

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In front crawl swimming, the hand and the corresponding forearm generate major propulsive forces. Such forces have been studied largely through experimental tests and more recently through the use of steady computational fluid dynamics (CFD). However, the effect of the upper arm on the propulsive forces has generally not been taken into consideration. An understanding of such forces is fundamental for the performance of swimmers who have an arm amputation at the level of the elbow. This study introduces the great potential offered by the multidisciplinary approach combining reverse engineering and unsteady CFD in a novel dynamic and interactive way. A complex CFD mesh model, representing the swimmer body and its upper arm, is produced. The model, including the arm rotation and a body roll movement, interacts dynamically with the fluid flow. Forces generated by the upper arm can then be investigated in great detail. In this particular study, it is found that the upper arm effectively contributes to the propulsion of the body. The propulsive force was numerically computed throughout the pull and reaches maxima of 8N. Results obtained in this study could be extended in a similar way to any other limb movement within a fluid flow.
机译：在前爬泳中，手和相应的前臂产生主要的推动力。这些力主要通过实验测试进行了研究，最近通过稳定计算流体动力学（CFD）的使用进行了研究。但是，通常没有考虑上臂对推进力的影响。对此类力量的了解对于在肘部水平截肢的游泳者的表现至关重要。这项研究介绍了以逆向工程和不稳定CFD相结合的多学科方法以一种新颖的动态和交互方式提供的巨大潜力。生成了一个复杂的CFD网格模型，该模型代表游泳者的身体及其上臂。该模型（包括手臂旋转和身体侧倾运动）与流体流动态交互。然后可以详细研究上臂产生的力。在这项特殊的研究中，发现上臂有效地促进了身体的前进。推力在整个拉力过程中通过数值计算得出，并达到最大8N。在这项研究中获得的结果可以以类似于流体流中任何其他肢体运动的方式扩展。

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