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https://reports.nlr.nl/handle/10921/1451
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Browsing Other publications by Author "Amsterdam, E."
  • Item
    Fatigue prediction and life assessment method for metal laser powder bed fusion parts
    (Elsevier, 2023) Wits, W.W. ; Amsterdam, E.
    In this paper, an industry-accepted fatigue model based on generalized stress-life (S-N) curves is adapted for metal parts fabricated by Laser Powder Bed Fusion (LPBF). Initial defects inherent to the fabrication process, such as part porosity, are related to fatigue life performance. Hereto, additively manufactured test specimens are fatigue tested and used to formulate a function to predict fatigue life based on the size of initial defects. The predictions correlate well with experimental results and provide a quality measure to expel outliers. The method can be used to predict the life expectancy of LPBF parts based on a priori detected defect sizes.
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    General applicability of fatigue life assessment method for metal laser powder bed fusion parts : variation in material, shape and test conditions
    (Elsevier, 2025) Wits, W.W. ; Amsterdam, E.
    The general applicability of our formerly developed fatigue prediction and life assessment methodology for metal Laser Powder Bed Fusion (LPBF) parts is validated for a new commonly used feedstock material; AlSi7Mg. Moreover, another specimen geometry and surface finish, as well as another fatigue loading condition have been used. The fatigue life assessment method for additively fabricated metal parts uses both the size of LPBF-process inherent initial defects and a material- and process-specific pivot point to accurately predict the fatigue life. An experimental campaign was completed and confirmed that the method is indeed expandable to another material, shape and fatigue loading condition.