@article{LaquaiMuellerSchneideretal.2020,
  author    = {Laquai, Rene and M{\"u}ller, Bernd R. and Schneider, Judith Ann and Kupsch, Andreas and Bruno, Giovanni},
  title     = {Using SXRR to probe the nature of discontinuities in SLM additive manufactured inconel 718 specimens},
  series = {Metallurgical and Materials Transactions A},
  volume    = {51},
  journal   = {Metallurgical and Materials Transactions A},
  number    = {8},
  publisher = {Springer},
  address   = {New York},
  issn      = {1073-5623},
  doi       = {10.1007/s11661-020-05847-5},
  pages     = {4146 -- 4157},
  year      = {2020},
  abstract  = {The utilization of additive manufacturing (AM) to fabricate robust structural components relies on understanding the nature of internal anomalies or discontinuities, which can compromise the structural integrity. While some discontinuities in AM microstructures stem from similar mechanisms as observed in more traditional processes such as casting, others are unique to the AM process. Discontinuities in AM are challenging to detect, due to their submicron size and orientation dependency. Toward the goal of improving structural integrity, minimizing discontinuities in an AM build requires an understanding of the mechanisms of formation to mitigate their occurrence. This study utilizes various techniques to evaluate the shape, size, nature and distribution of discontinuities in AM Inconel 718, in a non-hot isostatic pressed (HIPed) as-built, non-HIPed and direct age, and HIPed with two step age samples. Non-destructive synchrotron radiation refraction and transmission radiography (SXRR) provides additional information beyond that obtained with destructive optical microscopy. SXRR was able to distinguish between voids, cracks and lack of melt in, due to its sensitivity to the orientation of the discontinuity.},
  language  = {en}
}
@article{MagkosKupschBruno2020,
  author    = {Magkos, Sotirios and Kupsch, Andreas and Bruno, Giovanni},
  title     = {Direct iterative reconstruction of computed tomography trajectories reconstruction from limited number of projections with DIRECTT},
  series = {Review of scientific instruments : a monthly journal devoted to scientific instruments, apparatus, and techniques},
  volume    = {91},
  journal   = {Review of scientific instruments : a monthly journal devoted to scientific instruments, apparatus, and techniques},
  number    = {10},
  publisher = {American Institute of Physics},
  address   = {Melville},
  issn      = {0034-6748},
  doi       = {10.1063/5.0013111},
  pages     = {8},
  year      = {2020},
  abstract  = {X-ray computed tomography has many applications in materials science and non-destructive testing. While the standard filtered back-projection reconstruction of the radiographic datasets is fast and simple, it typically fails in returning accurate results from missing or inconsistent projections. Among the alternative techniques that have been proposed to handle such data is the Direct Iterative REconstruction of Computed Tomography Trajectories (DIRECTT) algorithm. We describe a new approach to the algorithm, which significantly decreases the computational time while achieving a better reconstruction quality than that of other established algorithms.},
  language  = {en}
}