A pre-verifiable calibration model of wall shear stress thermal sensor driven by constant current

Yuchao Yan; Chengyu Jiang; Binghe Ma; Jian Luo; Jinjun Deng

doi:10.1016/j.flowmeasinst.2019.101591

A pre-verifiable calibration model of wall shear stress thermal sensor driven by constant current

Yuchao Yan, Chengyu Jiang, Binghe Ma, Jian Luo, Jinjun Deng

School of Microelectronics

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

This paper presents a pre-verifiable calibration model, which can accurately characterize the measurement behavior of the flexible wall shear stress thermal sensor in constant current drive mode. In this calibration model, the fitting parameter a can be pre-verified with IR_a, which provides a method to verify the accuracy of calibration instruments and data. In repetitive experiments, the average related normalized standard deviation ε_τ is 1.26%, which indicates that our calibrations are reliable. And the relative deviations η between a and IR_a are below 1.15% in all experiments, which indicates that the calibration model can pre-verify the reliability of calibration instruments and data among different sensors and different drive currents.

Original language	English
Article number	101591
Journal	Flow Measurement and Instrumentation
Volume	69
DOIs	https://doi.org/10.1016/j.flowmeasinst.2019.101591
State	Published - Oct 2019

Keywords

Calibration model
Constant current
Thermal sensors
Wall shear stress

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10.1016/j.flowmeasinst.2019.101591

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title = "A pre-verifiable calibration model of wall shear stress thermal sensor driven by constant current",

abstract = "This paper presents a pre-verifiable calibration model, which can accurately characterize the measurement behavior of the flexible wall shear stress thermal sensor in constant current drive mode. In this calibration model, the fitting parameter a can be pre-verified with IRa, which provides a method to verify the accuracy of calibration instruments and data. In repetitive experiments, the average related normalized standard deviation ετ is 1.26%, which indicates that our calibrations are reliable. And the relative deviations η between a and IRa are below 1.15% in all experiments, which indicates that the calibration model can pre-verify the reliability of calibration instruments and data among different sensors and different drive currents.",

keywords = "Calibration model, Constant current, Thermal sensors, Wall shear stress",

author = "Yuchao Yan and Chengyu Jiang and Binghe Ma and Jian Luo and Jinjun Deng",

note = "Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

year = "2019",

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doi = "10.1016/j.flowmeasinst.2019.101591",

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volume = "69",

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AU - Yan, Yuchao

AU - Jiang, Chengyu

AU - Ma, Binghe

AU - Luo, Jian

AU - Deng, Jinjun

PY - 2019/10

Y1 - 2019/10

N2 - This paper presents a pre-verifiable calibration model, which can accurately characterize the measurement behavior of the flexible wall shear stress thermal sensor in constant current drive mode. In this calibration model, the fitting parameter a can be pre-verified with IRa, which provides a method to verify the accuracy of calibration instruments and data. In repetitive experiments, the average related normalized standard deviation ετ is 1.26%, which indicates that our calibrations are reliable. And the relative deviations η between a and IRa are below 1.15% in all experiments, which indicates that the calibration model can pre-verify the reliability of calibration instruments and data among different sensors and different drive currents.

AB - This paper presents a pre-verifiable calibration model, which can accurately characterize the measurement behavior of the flexible wall shear stress thermal sensor in constant current drive mode. In this calibration model, the fitting parameter a can be pre-verified with IRa, which provides a method to verify the accuracy of calibration instruments and data. In repetitive experiments, the average related normalized standard deviation ετ is 1.26%, which indicates that our calibrations are reliable. And the relative deviations η between a and IRa are below 1.15% in all experiments, which indicates that the calibration model can pre-verify the reliability of calibration instruments and data among different sensors and different drive currents.

KW - Calibration model

KW - Constant current

KW - Thermal sensors

KW - Wall shear stress

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DO - 10.1016/j.flowmeasinst.2019.101591

M3 - 文章

AN - SCOPUS:85070061341

SN - 0955-5986

VL - 69

JO - Flow Measurement and Instrumentation

JF - Flow Measurement and Instrumentation

M1 - 101591

ER -

A pre-verifiable calibration model of wall shear stress thermal sensor driven by constant current

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Keywords

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