Degeneration Effects of Thin-Film Sensors after Critical Load Conditions of Machine Components

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Original languageEnglish
Article number870
Number of pages15
JournalMachines
Volume10
Issue number10
Publication statusPublished - 27 Sept 2022

Abstract

In the context of intelligent components in industrial applications in the automotive, energy or construction sector, sensor monitoring is crucial for security issues and to avoid long and costly downtimes. This article discusses component-inherent thin-film sensors for this purpose, which, in contrast to conventional sensor technology, can be applied inseparably onto the component’s surface via sputtering, so that a maximum of information about the component’s condition can be generated, especially regarding deformation. This article examines whether the sensors can continue to generate reliable measurement data even after critical component loads have been applied. This extends their field of use concerning plastic deformation behavior. Therefore, any change in sensor properties is necessary for ongoing elastic strain measurements. These novel fundamentals are established for thin-film constantan strain gauges and platinum temperature sensors on steel substrates. In general, a k-factor decrease and an increase in the temperature coefficient of resistance with increasing plastic deformation could be observed until a sensor failure above 0.5% plastic deformation (constantan) occurred (1.3% for platinum). Knowing these values makes it possible to continue measuring elastic strains after critical load conditions on a machine component in terms of plastic deformation. Additionally, a method of sensor-data fusion for the clear determination of plastic deformation and temperature change is presented.

Keywords

    bearings, k-factor, plastic deformation, sensor data fusion, sputtering, strain gauge, temperature coefficient of resistance, temperature sensor, thin-film sensor, tribological contact

ASJC Scopus subject areas

Cite this

Degeneration Effects of Thin-Film Sensors after Critical Load Conditions of Machine Components. / Ottermann, Rico; Steppeler, Tobias; Dencker, Folke et al.
In: Machines, Vol. 10, No. 10, 870, 27.09.2022.

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abstract = "In the context of intelligent components in industrial applications in the automotive, energy or construction sector, sensor monitoring is crucial for security issues and to avoid long and costly downtimes. This article discusses component-inherent thin-film sensors for this purpose, which, in contrast to conventional sensor technology, can be applied inseparably onto the component{\textquoteright}s surface via sputtering, so that a maximum of information about the component{\textquoteright}s condition can be generated, especially regarding deformation. This article examines whether the sensors can continue to generate reliable measurement data even after critical component loads have been applied. This extends their field of use concerning plastic deformation behavior. Therefore, any change in sensor properties is necessary for ongoing elastic strain measurements. These novel fundamentals are established for thin-film constantan strain gauges and platinum temperature sensors on steel substrates. In general, a k-factor decrease and an increase in the temperature coefficient of resistance with increasing plastic deformation could be observed until a sensor failure above 0.5% plastic deformation (constantan) occurred (1.3% for platinum). Knowing these values makes it possible to continue measuring elastic strains after critical load conditions on a machine component in terms of plastic deformation. Additionally, a method of sensor-data fusion for the clear determination of plastic deformation and temperature change is presented.",
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author = "Rico Ottermann and Tobias Steppeler and Folke Dencker and Wurz, {Marc Christopher}",
note = "Funding Information: The authors thank the German Research Foundation (DFG) that funded this work within the research project “Integrated sensors for intelligent large-diameter bearings” (WU 558/41-1) as part of the Priority Program 2305 “Sensor-integrating machine elements”.",
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Download

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AU - Steppeler, Tobias

AU - Dencker, Folke

AU - Wurz, Marc Christopher

N1 - Funding Information: The authors thank the German Research Foundation (DFG) that funded this work within the research project “Integrated sensors for intelligent large-diameter bearings” (WU 558/41-1) as part of the Priority Program 2305 “Sensor-integrating machine elements”.

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