4.7 Article

Fatigue assessment of additively-manufactured C-18150 copper alloy at room and elevated temperatures via a microstructure-sensitive algorithm

Journal

INTERNATIONAL JOURNAL OF FATIGUE
Volume 159, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ijfatigue.2022.106777

Keywords

Additive manufacturing; Fatigue; Fracture fatigue entropy; Plastic strain energy; Microstructure

Funding

  1. National Aeronautics and Space Administration (NASA)'s Established Program [80NSSC19M0079, 80NSSC20M0149, 43.008]
  2. LAMDA [OIA-1946231]

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The efficacy of a newly developed microstructure-sensitive fatigue framework for additively manufactured materials is evaluated at different environmental temperatures. C-18150 copper alloy samples fabricated by Laser Powder Bed Fusion (L-PBF) are subjected to fatigue testing at room temperature, 204 degrees C, and 426 degrees C. The damage representative, plastic strain energy, is studied using cyclic stress-strain hysteresis loop area measurements and analyzed with a microstructure-sensitive algorithm. A thermodynamics-based framework is employed to calculate Fracture Fatigue Entropy (FFE) for assessing the materials' fatigue performance. The results from the hysteresis loop and microstructure-sensitive method show consistent trends and magnitudes.
The efficacy of a recently developed microstructure-sensitive fatigue framework is assessed for additively manufactured materials at different environmental temperatures. C-18150 copper alloy samples additively manufactured using the Laser Powder Bed Fusion process (L-PBF) are fatigue tested at the room, 204 degrees C, and 426 degrees C temperatures. Plastic strain energy as the damage representative is studied via the cyclic stress-strain hysteresis loop area measurements and analyzed via a microstructure-sensitive algorithm. A thermodynamics-based framework is used to calculate Fracture Fatigue Entropy (FFE) to assess the material's fatigue performance. The results based on the hysteresis loop and the microstructure-sensitive method agree both in trend and magnitude.

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