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Titel: Evaluation of Frequency Effects on Fatigue Life at High Test Frequencies for SAE 1045 Steel Based on Thermography and Electrical Resistance Measurements
VerfasserIn: Ziman, Jonas Anton
Weber, Fabian
Koziol, Janina
Otto, Johannes Leon
Sauer, Lukas Maximilian
Walther, Frank
Starke, Peter
Sprache: Englisch
Titel: Applied Sciences
Bandnummer: 15
Heft: 3
Verlag/Plattform: MDPI
Erscheinungsjahr: 2025
Freie Schlagwörter: StressLife
fatigue life
lifetime prediction methods
material response
resistivity
frequency
electrical resistance-temperature hysteresis
resonant testing
S-N curves
NDT
DDC-Sachgruppe: 500 Naturwissenschaften
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: This research provides a method for a reliable fatigue life estimation at high testing frequencies. The investigations are based on the lifetime prediction method StressLifeHCF considering test frequencies of 80 and 260 Hz for normalized SAE 1045 (C45E, 1.1191) steel. Therefore, load increase tests and constant amplitude tests were carried out using a resonant testing rig. To ensure a mechanism-oriented lifetime prediction, the material response to dynamic loading is monitored via temperature and electrical resistance measurements. Due to the higher energy input per time unit, when the test frequency is increased, the heat dissipation also increases. For this reason, a precise differentiation between frequency- and temperature-related effects for adequate fatigue assessment is challenging. To evaluate the temperature’s influence on electrical resistance, an electrical resistance-temperature hysteresis is measured, and the frequency influence is analyzed by considering cyclic deformation curves. In addition to an extension of the fatigue life due to an increased test frequency, the lifetime prediction method was validated for high frequencies. The generated S-N curves show a reliable agreement with the data points from conventional constant amplitude tests. In this context, the temperature correction of the electrical resistance proved to be an important input variable for a reliable lifetime prediction.
DOI der Erstveröffentlichung: 10.3390/app15031022
URL der Erstveröffentlichung: https://doi.org/10.3390/app15031022
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-443604
hdl:20.500.11880/39685
http://dx.doi.org/10.22028/D291-44360
ISSN: 2076-3417
Datum des Eintrags: 18-Feb-2025
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Materialwissenschaft und Werkstofftechnik
Professur: NT - Keiner Professur zugeordnet
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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