The AFRL Additive Manufacturing Modeling Challenge: Predicting Micromechanical Fields in AM IN625 Using an FFT-Based Method with Direct Input from a 3D Microstructural Image

The efficacy of an elasto-viscoplastic fast Fourier transform (EVPFFT) code was assessed based on blind predictions of micromechanical fields in a sample of Inconel 625 produced with additive manufacturing (AM) and experimentally characterized with high-energy X-ray diffraction microscopy during an...

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Veröffentlicht in:	Integrating materials and manufacturing innovation 2021-06, Vol.10 (2), p.157-176
Hauptverfasser:	Cocke, Carter K., Rollett, Anthony D., Lebensohn, Ricardo A., Spear, Ashley D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Additive manufacturing Characterization and Evaluation of Materials Chemistry and Materials Science Fast Fourier transformations Fourier transforms Grains Materials Science Metal Additive Manufacturing Modeling Challenge Series 2020 Metallic Materials Modelling Nanotechnology Optimization Parameter modification Strain Structural Materials Surfaces and Interfaces Tensile tests Tensors Thematic Section: Metal Additive Manufacturing Modeling Challenge Series 2020 Thin Films
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