@article{KesslerBalcGebhardtetal.2015,
  author    = {Kessler, Julia and Balc, Nicolae and Gebhardt, Andreas and Abbas, Karim},
  title     = {Basic Research on Lattice Structures Focused on the Tensile Strength},
  series = {Applied Mechanics and Materials},
  volume    = {Vol. 808},
  journal   = {Applied Mechanics and Materials},
  publisher = {Trans Tech Publications},
  address   = {B{\"a}ch},
  issn      = {1662-7482},
  doi       = {10.4028/www.scientific.net/AMM.808.193},
  pages     = {193 -- 198},
  year      = {2015},
  language  = {en}
}
@article{KunkelGebhardtMpofuetal.2018,
  author    = {Kunkel, Maximilian Hugo and Gebhardt, Andreas and Mpofu, Khumbaulani and Kallweit, Stephan},
  title     = {Statistical assessment of mechanical properties of selective laser melted specimens of stainless steel},
  series = {The International Journal of Advanced Manufacturing Technology},
  volume    = {98},
  journal   = {The International Journal of Advanced Manufacturing Technology},
  number    = {5-8},
  publisher = {Springer},
  address   = {London},
  issn      = {0268-3768},
  doi       = {10.1007/s00170-018-2040-8},
  pages     = {1409 -- 1431},
  year      = {2018},
  abstract  = {The rail business is challenged by long product life cycles and a broad spectrum of assembly groups and single parts. When spare part obsolescence occurs, quick solutions are needed. A reproduction of obsolete parts is often connected to long waiting times and minimum lot quantities that need to be purchased and stored. Spare part storage is therefore challenged by growing stocks, bound capital and issues of part ageing. A possible solution could be a virtual storage of spare parts which will be 3D printed through additive manufacturing technologies in case of sudden demand. As mechanical properties of additive manufactured parts are neither guaranteed by machine manufacturers nor by service providers, the utilization of this relatively young technology is impeded and research is required to address these issues. This paper presents an examination of mechanical properties of specimens manufactured from stainless steel through the selective laser melting (SLM) process. The specimens were produced in multiple batches. This paper interrogates the question if the test results follow a normal distribution pattern and if mechanical property predictions can be made. The results will be put opposite existing threshold values provided as the industrial standard. Furthermore, probability predictions will be made in order to examine the potential of the SLM process to maintain state-of-the-art mechanical property requirements.},
  language  = {en}
}
@article{KunkelGebhardtMpofuetal.2019,
  author    = {Kunkel, Maximilian Hugo and Gebhardt, Andreas and Mpofu, Khumbulani and Kallweit, Stephan},
  title     = {Quality assurance in metal powder bed fusion via deep-learning-based image classification},
  series = {Rapid Prototyping Journal},
  volume    = {26},
  journal   = {Rapid Prototyping Journal},
  number    = {2},
  issn      = {1355-2546},
  doi       = {10.1108/RPJ-03-2019-0066},
  pages     = {259 -- 266},
  year      = {2019},
  language  = {en}
}
@article{RieperGebhardtStucker2016,
  author    = {Rieper, Harald and Gebhardt, Andreas and Stucker, Brent},
  title     = {Selective Laser Melting of the Eutectic Silver-Copper Alloy Ag 28 wt \% Cu},
  series = {RTejournal - Forum f{\"u}r Rapid Technologie},
  volume    = {13},
  journal   = {RTejournal - Forum f{\"u}r Rapid Technologie},
  issn      = {1614-0923},
  url       = {http://nbn-resolving.de/nbn:de:0009-2-44141},
  year      = {2016},
  abstract  = {The aim of this work was to perform a detailed investigation of the use of Selective Laser Melting (SLM) technology to process eutectic silver-copper alloy Ag 28 wt. \% Cu (also called AgCu28). The processing occurred with a Realizer SLM 50 desktop machine. The powder analysis (SEM-topography, EDX, particle distribution) was reported as well as the absorption rates for the near-infrared (NIR) spectrum. Microscope imaging showed the surface topography of the manufactured parts. Furthermore, microsections were conducted for the analysis of porosity. The Design of Experiments approach used the response surface method in order to model the statistical relationship between laser power, spot distance and pulse time.},
  language  = {en}
}
@article{SchwarzGebhardtSchleseretal.2019,
  author    = {Schwarz, Alexander and Gebhardt, Andreas and Schleser, Markus and Popoola, Patricia},
  title     = {New Welding Joint Geometries Manufactured by Powder Bed Fusion from 316L},
  series = {Materials Performance and Characterization 8},
  journal   = {Materials Performance and Characterization 8},
  number    = {in press},
  issn      = {2379-1365},
  doi       = {10.1520/MPC20180096},
  year      = {2019},
  language  = {en}
}
@article{ZieburaBremenSchleifenbaumetal.2018,
  author    = {Ziebura, Dawid and Bremen, Sebastian and Schleifenbaum, Johannes Henrich and Gebhardt, Andreas},
  title     = {Machbarkeitsstudie zur Verarbeitung von nicht rostendem Stahl 1.4404 unter Verwendung einer Diodenlaser-basierten LPBF-Maschine mit kartesischem Achssystem},
  series = {RTejournal - Forum f{\"u}r Rapid Technologie},
  volume    = {15},
  journal   = {RTejournal - Forum f{\"u}r Rapid Technologie},
  issn      = {1614-0923},
  year      = {2018},
  language  = {de}
}