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Temperature-compensation of 3D-printed Polymer-based Strain Gauges

机译:3D打印聚合物基应变片的温度补偿

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摘要

With the advent of 3D printing and the increasing list of available materials, various functional devices canbe printed for low-cost, rapid prototyping. In particular, 3D-printed strain gauges show promise in multipleapplications such as robotics and structural health monitoring. However, characterization and compensation ofthe thermal dependence of such strain gauges have been limited in the literature. In this work the temperaturedependentresistive behavior is characterized for strain gauges printed with a commercially available lament,conductive PLA (Polylactic Acid), which has also shown other desirable uses such as stiu000bness-tuning for softrobots. The relationship between temperature and resistance is shown to be hysteretic. Several compensationmethods (Temperature-based algebraic subtraction, Material-based algebraic subtraction, and a Wheatstonebridge-based method) are explored to mitigate the effect of temperature and show the material's feasibility asa strain gauge. The compensation methods are quantitatively compared by calculating the mean squared errorbetween the predicted and the ground truth strain values. It is shown that the Wheatstone bridge-based methodprovides the best compensation. This method achieves average errors of less than 10% and a maximum errorless than 20% over a working range of approximately 15,000 microstrain (0.15% strain) over a range 30 to 40℃.
机译:随着3D打印的出现和可用材料列表的增加,各种功能性设备都可以被打印以实现低成本,快速的原型制作。特别是3D打印的应变仪在多种应用中显示出了希望,例如机器人技术和结构健康监测。但是,这种应变仪的热依赖性的表征和补偿在文献中受到限制。在这项工作中,温度变化\\\\ n \ n \ n \ n \ n \ n \ n \ r \ n \ n \ n \ n电阻行为的特征在于,应变计上印有市售的\ flament \\ r \ n \ n导电PLA(聚乳酸),这也显示了其他理想的用途,例如对柔软\ ssti \ u000bness-tuning r \ nrobots。温度和电阻之间的关系显示为滞后的。研究了几种补偿方法,例如基于温度的代数减法,基于材料的代数减法和基于惠斯登\ r \ nbridge的方法,以减轻温度的影响并证明该材料作为应变计的可行性。通过计算预测和地面真实应变值之间的均方误差\ r \ n,定量比较补偿方法。结果表明,基于惠斯通电桥的方法提供了最佳补偿。该方法在30至40℃范围内的约15,000微应变(0.15%应变)的工作范围内,平均误差小于10%,最大误差小于20%。

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  • 会议地点 0277-786X;1996-756X
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    Smart Microsystems Laboratory Department of Electrical and Computer EngineeringMichigan State University, East Lansing, 48824 MI USA colem404@msu.edu;

    Smart Microsystems Laboratory Department of Electrical and Computer EngineeringMichigan State University, East Lansing, 48824 MI USA robomkmt@gmail.com;

    Smart Microsystems Laboratory Department of Electrical and Computer EngineeringMichigan State University, East Lansing, 48824 MI USA xbtan@egr.msu.edu;

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  • 入库时间 2022-08-26 14:32:19

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