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A New Crank Arm-Based Load Cell for the 3D Analysis of the Force Applied by a Cyclist

机译:一种新的基于曲柄臂的称重传感器,用于3D分析骑自行车者施加的力

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This report describes a new crank arm-based force platform designed to evaluate the three-dimensional force applied to the pedals by cyclists in real conditions. The force platform was designed to be fitted on a conventional competition bicycle crankset while data is transmitted wirelessly through a BluetoothTM module and also stored on a SD card. A 3D solid model is created in the SolidWorks (Dassault Systèmes SOLIDWORKS Corp.) to analyze the static and dynamic characteristics of the crank arm by using the finite elements technique. Each crankset arm is used as a load cell based on strain gauges configured as three Wheatstone bridges. The signals are conditioned on a printed circuit board attached directly to the structure. The load cell showed a maximum nonlinearity error between 0.36% and 0.61% and a maximum uncertainty of 2.3% referred to the sensitivity of each channel. A roller trainer equipped with an optical encoder was also developed, allowing the measurement of the wheel's instantaneous velocity.
机译:该报告描述了一种新的基于曲柄臂的力平台,该平台旨在评估骑自行车者在实际条件下施加在踏板上的三维力。力平台设计为可安装在常规竞赛自行车曲柄上,同时数据通过Bluetooth TM 模块无线传输并存储在SD卡中。在SolidWorks(DassaultSystèmesSOLIDWORKS Corp.)中创建了3D实体模型,以使用有限元技术分析曲柄的静态和动态特性。每个曲柄臂均根据配置为三个惠斯通电桥的应变仪用作称重传感器。信号在直接连接到该结构的印刷电路板上调节。称重传感器的最大非线性误差在0.36%和0.61%之间,相对于每个通道的灵敏度,最大不确定度为2.3%。还开发了配备光学编码器的滚轮教练机,可以测量车轮的瞬时速度。

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