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飞轮转子光电应变测量系统的不确定性分析

Uncertainty Analysis of an Optoelectronic Strain Measurement System for Flywheel Rotors.

作者信息

Rath Matthias Franz, Schweighofer Bernhard, Wegleiter Hannes

机构信息

Energy Aware Measurement Systems Group, Institute of Electrical Measurement and Sensor Systems, Graz University of Technology, 8010 Graz, Austria.

出版信息

Sensors (Basel). 2021 Dec 16;21(24):8393. doi: 10.3390/s21248393.

DOI:10.3390/s21248393
PMID:34960486
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8709463/
Abstract

The strain in a fast spinning carbon fiber flywheel rotor is of great interest for condition monitoring, as well as for studying long-term aging effects in the carbon fiber matrix. Optoelectronic strain measurement is a contactless measurement principle where a special reflective pattern is applied to the rotor which is scanned by a stationary optical setup. It does not require any active electronic components on the rotor and is suited for operation in a vacuum. In this paper, the influences of the key parts comprising the optoelectronic strain measurement are analyzed. The influence of each part on the measurement result including the uncertainty is modeled. The total uncertainty, as well as each part's contribution is calculated. This provides a valuable assessment of requirements for component selection, as well as tolerances of mechanical parts and processes to reach a final target measurement uncertainty or to estimate the uncertainty of a given setup. We have shown that the edge quality of the special reflective pattern has the strongest influence, and how to improve it. Considering all influences, it is possible to measure strain with an uncertainty of less than 1% at a rotation speed of 500Hz.

摘要

快速旋转的碳纤维飞轮转子中的应变对于状态监测以及研究碳纤维基体中的长期老化效应具有重要意义。光电应变测量是一种非接触式测量原理，其中在转子上应用特殊的反射图案，由固定的光学装置进行扫描。它不需要转子上有任何有源电子元件，适合在真空中运行。本文分析了构成光电应变测量的关键部件的影响。对每个部件对测量结果（包括不确定性）的影响进行了建模。计算了总不确定性以及每个部件的贡献。这为部件选择的要求以及机械部件和工艺的公差提供了有价值的评估，以达到最终目标测量不确定性或估计给定装置的不确定性。我们已经表明，特殊反射图案的边缘质量影响最强，并说明了如何改进它。考虑到所有影响因素，在500Hz的转速下，可以以小于1%的不确定性测量应变。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4bfa/8709463/124a450381eb/sensors-21-08393-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4bfa/8709463/375b54e3e126/sensors-21-08393-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4bfa/8709463/d892fe233334/sensors-21-08393-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4bfa/8709463/3ba0d6400d9d/sensors-21-08393-g026.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4bfa/8709463/cc882d381dcf/sensors-21-08393-g027.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4bfa/8709463/fcefbdbaadb9/sensors-21-08393-g028.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4bfa/8709463/1a8fe80a64d3/sensors-21-08393-g029.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4bfa/8709463/8affd3b64988/sensors-21-08393-g030.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4bfa/8709463/3086ca558588/sensors-21-08393-g031.jpg

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