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

verfasst von: Rico Ottermann, Tobias Steppeler, Folke Dencker, Marc Christopher Wurz
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.
Organisationseinheit(en): Institut für Mikroproduktionstechnik
Externe Organisation(en): Universität Ulm
Typ: Artikel
Journal: Machines
Band: 10
Anzahl der Seiten: 15
Publikationsdatum: 27.09.2022
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Steuerungs- und Systemtechnik, Informatik (sonstige), Maschinenbau, Steuerung und Optimierung, Wirtschaftsingenieurwesen und Fertigungstechnik, Elektrotechnik und Elektronik
Elektronische Version(en): https://doi.org/10.3390/machines10100870 (Zugang: Offen)
https://doi.org/10.15488/13644 (Zugang: Offen)