Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures [dataset]
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Microstructure dataset utilized in "Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures" (http://dx.doi.org/10.2139/ssrn.4711476 ):- lattice structures in folders lattice_structures and lattice_structures_defective were employed in Section 3.1- spherical voids in folders spherical_voids and spherical_voids_perturbed were employed in Section 3.2The lattice structures are extracted from the CT scans in "Image-based numerical characterization and experimental validation of tensile behavior of octet-truss lattice structures" (https://doi.org/10.1016/j.addma.2021.101949)
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Publication Details
Subfield
Computer Vision and Pattern Recognition
Field
Computer Science
Domain
Physical Sciences
Confidence Score
52%
Source
Scholar Data Model