Multi-axis stress sensor characterization and testing platform
Multi-axis stress sensor characterization and testing platform
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DOI：
10.1016/j.ohx.2018.e00048
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发表时间：
2019-04-01
期刊：
影响因子：
2.2
通讯作者：
Bozkurt, Alper
中科院分区：
文献类型：
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作者：
Agcayazi, Talha;Foster, Marc;Bozkurt, Alper
多轴机械应力传感器已成为众多领域的重要工具。为了表征新型应力传感器的质量和分辨率，研究人员使用测试平台施加受控量的剪切应力和法向应力。由于商用多轴测试平台价格昂贵，在许多情况下，研究人员最终需要建立自己的传感器表征平台。在这项研究中，我们描述了一个具有成本效益的多轴应力传感器表征平台，以减少开发时间，实现准确的基准测试，并为其他研究人员提供应力传感器表征的开源标准。在我们的设计中，我们通过定制的硬件和软件将3轴平移台和3轴力和扭矩（F/T）传感器结合在一起。我们的平台具有成本效益，可以达到F/T传感器的极限（Fxy = +/- 65 N和Fz = +/- 200 N），而不会因结构弯曲而损失任何精度。我们提供详细的施工和操作说明以及广泛的静态和循环负载实验结果。为了进一步验证我们的系统，我们展示了自定义应力传感器的表征结果作为案例研究。我们平台的模块化特性也使其他研究人员能够根据其独特的实验要求定制此表征平台。(C)2018作者爱思唯尔有限公司出版
Multi-axis mechanical stress sensors have become an important tool in numerous fields. To characterize the quality and resolution of a new stress sensor, researchers use test platforms to apply controlled amounts of shear and normal stresses. Since commercially available multi-axis test platforms are expensive, in many cases researchers end up needing to build their own sensor characterization platforms. In this study, we describe a cost-effective multi-axis stress sensor characterization platform to reduce development time, enable accurate benchmarking and provide an open source standard for stress sensor characterization for other researchers. In our design, we combined a 3-axis translational stage and a 3-axis force and torque (F/T) sensor through custom hardware and software. Our platform is cost effective and can reach the limits of the F/T sensor (Fxy = +/- 65 N and Fz = +/- 200 N) without losing any accuracy to structural bending. We provide detailed construction and operation instructions as well as results of extensive static and cyclic load experiments. To further validate our system, we show characterization results from a custom stress sensor as a case study. The modular nature of our platform also enables other researchers to customize this characterization platform for their unique experimental requirements. (C) 2018 The Authors. Published by Elsevier Ltd.