Improving the arrow selection process
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In a precision sport such as archery, optimizing the arrows used and how they are assembled is essential to perform at an elite level. Since there are many mechanical characteristics to consider, such as their mass, stiffness, diameter, straightness, and fletching position, this study aimed to assess which parameters should be prioritized for the arrow selection process. The mechanical properties of sixty arrow shafts were obtained using an automated testing bench, and a sinusoidal wave was used to model the stiffness variation around the shaft cross-section. A controlled assembling procedure allowed the characterization of the positions of the vanes relative to the stiffness extrema. The arrows were then shot at 70 meters indoors, using a shooting machine, thus removing the human and wind-induced variability. Two significant multiple stepwise regression models partially predicted the vertical or horizontal position of the arrows on target, using the mass and the mean stiffness, or the mean stiffness and stiffness variation amplitude, respectively. Furthermore, a combination of the mass, mean stiffness and stiffness frequency was found to better explain the relative proximity of arrow marks with each other, suggesting that the ability to control the stiffness variation pattern is required.
在射箭这类精准体育运动中，优化所用箭矢及其组装方案，是达成顶级竞技水准的核心前提。由于箭矢需考量的力学特性繁多，包括质量、刚度、直径、直度与箭羽安装位置等，本研究旨在评估箭矢遴选流程中应优先关注的参数。本研究通过自动化测试台获取了60根箭杆的力学性能，并采用正弦波对箭杆横截面周边的刚度变化进行建模。通过标准化组装流程，可精准表征箭羽相对于刚度极值的安装位置。随后借助射箭机械臂在室内70米距离下开展射击实验，以此排除人为操作与风力诱导的变量干扰。本研究构建了两个具有统计学显著性的多元逐步回归模型：其一通过质量与平均刚度，其二通过平均刚度与刚度变化幅值，分别对箭矢在靶标的垂直与水平落点位置进行了部分预测。此外，研究发现将质量、平均刚度与刚度频率相结合，可更好地解释箭着点之间的相对间距，这表明精准控制刚度变化模式是实现射击稳定性的必要条件。
