Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Machine-to-machine variability of roughness and corrosion in additively manufactured 316L stainless steel9citations

Places of action

Chart of shared publication
Wu, M.
1 / 22 shared
Colon-Mercado, H.
1 / 1 shared
Ganesan, P.
1 / 2 shared
Renner, P.
1 / 1 shared
Karasz, E. K.
1 / 1 shared
Stull, J. A.
1 / 1 shared
Koehn, Z.
1 / 1 shared
Melia, M.
1 / 1 shared
Hooks, D. E.
1 / 1 shared
Hackenberg, R.
1 / 1 shared
Rueger, Z.
1 / 1 shared
Dwyer, J.
1 / 1 shared
Qiu, S. R.
1 / 1 shared
Clark, C. L.
1 / 1 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Wu, M.
  • Colon-Mercado, H.
  • Ganesan, P.
  • Renner, P.
  • Karasz, E. K.
  • Stull, J. A.
  • Koehn, Z.
  • Melia, M.
  • Hooks, D. E.
  • Hackenberg, R.
  • Rueger, Z.
  • Dwyer, J.
  • Qiu, S. R.
  • Clark, C. L.
OrganizationsLocationPeople

article

Machine-to-machine variability of roughness and corrosion in additively manufactured 316L stainless steel

  • Wu, M.
  • Colon-Mercado, H.
  • Ganesan, P.
  • Renner, P.
  • Karasz, E. K.
  • Stull, J. A.
  • Koehn, Z.
  • Melia, M.
  • Gorey, T. J.
  • Hooks, D. E.
  • Hackenberg, R.
  • Rueger, Z.
  • Dwyer, J.
  • Qiu, S. R.
  • Clark, C. L.
Abstract

Numerous studies on the corrosion response of metal AM have been conducted. Nonetheless, the specimens being tested are commonly ground or polished to remove the outer as-built surface. If metal AM is truly going to be employed as a transformative technology that can produce complex shapes that do not require traditional machining, then the material needs to be evaluated in the as-built state. The reality is that AM alloys have shown significant inconsistencies regarding as-built surface texture, topology, and residual stress. One metric that has shown significant unpredictability in the literature is the susceptibility to localized corrosion of typically passive alloys, such as stainless steel (SS). There are a large number of studies that have attempted to understand the corrosion response of metal AM materials, but these studies are typically performed on materials that have been printed on a single machine and often mechanically polished to a smooth finish. This study compares the corrosion response of as-built AM, laser-beam powder bed fusion (LB-PBF), 316L SS parts that have been fabricated on five different machines. The majority of this work focused on understanding the susceptibility to localized corrosion of AM metals with respect to machine-dependent variables, namely surface roughness, and build angle. Surface roughness data was collected using scanning white light triangulation, laser scanning confocal microscopy, and coherence scanning interferometry. The results show that there is significant variability (ptwo-tail < 0.05) in the susceptibility to local corrosion initiation of LB-PBF 316L SS samples built on different machines. Surface oxides were probed with electron dispersive spectroscopy and revealed that variations in local corrosion susceptibility likely arise from differences in the stability of the passive film caused by chemical segregation, unique microstructure, and tortuous roughness features at the as-built surfaces. The variability of roughness and corrosion properties from test samples printed on different machines was corroborated by property measurements performed at five different testing sites, proving reproducibility of the data. Most importantly, this study shows that if the as-built surface layer is removed through grinding or electropolishing the machine-to-machine variation observed in the corrosion susceptibility is reduced.

Topics
  • impedance spectroscopy
  • microstructure
  • surface
  • stainless steel
  • corrosion
  • grinding
  • texture
  • susceptibility
  • powder bed fusion
  • confocal microscopy
  • interferometry