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doi:10.22028/D291-44508
Titel: | Consideration of Statistical Approaches Within the Accelerated Assessment of Fatigue Properties of Metallic Materials |
VerfasserIn: | Weber, Fabian Wagner, Aline Koziol, Janina Weber, Felix Broeckmann, Christoph Starke, Peter |
Sprache: | Englisch |
Titel: | Metals |
Bandnummer: | 15 |
Heft: | 2 |
Verlag/Plattform: | MDPI |
Erscheinungsjahr: | 2025 |
Freie Schlagwörter: | virtual S-N curves fatigue of metallic materials energy dissipation factor load increase test statistical validation |
DDC-Sachgruppe: | 500 Naturwissenschaften |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Understanding the fatigue behaviour of metallic materials is highly important when it comes to a reliable assessment of material degradation as a result of dynamic loading. Because the provision of such data is associated with great testing effort leading to increased time and cost requirements in terms of conventional methods, accelerated lifetime prediction methods are becoming increasingly important. However, the reduced number of fatigue specimens and tests complicates statistical validations of the obtained results. In this contribution, combinatorial approaches are used to estimate both lifetime prediction bands and virtually-determined S-N curves with a reduced number of specimens, displaying the material-related scatter due to microstructural inhomogeneities. In addition, a variable energy dissipation factor based on cyclic deformation curves is presented, which enables evaluation of materials that exhibit more pronounced scatter, for instance cast materials. An in situ evaluation of the cyclic deformation curves is provided via integration of non-destructive testing methods into the testing rig. Unalloyed SAE 1045 steel, low-alloyed 20MnMoNi5-5 steel, and the cast material EN-GJS-1050-6 are investigated in this research, as these materials posses gradually increasing complexity regarding their respective microstructures. |
DOI der Erstveröffentlichung: | 10.3390/met15020191 |
URL der Erstveröffentlichung: | https://doi.org/10.3390/met15020191 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-445084 hdl:20.500.11880/39727 http://dx.doi.org/10.22028/D291-44508 |
ISSN: | 2075-4701 |
Datum des Eintrags: | 26-Feb-2025 |
Fakultät: | NT - Naturwissenschaftlich- Technische Fakultät |
Fachrichtung: | NT - Materialwissenschaft und Werkstofftechnik |
Professur: | NT - Prof. Dr. Christian Boller |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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metals-15-00191.pdf | 25,78 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons