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 (4/4 displayed)

  • 2024Understanding process parameter-induced variability for tailoring precipitation behavior, grain structure, and mechanical properties of Al-Mg-Si-Mn alloy during solid-state additive manufacturing3citations
  • 2024Systematic review on additive friction stir deposition: materials, processes, monitoring and modelling2citations
  • 2024Characterisation of materials properties and defects in structure fabricated via additive friction stir depositioncitations
  • 20222202. Influenza Surveillance of Families in an Observational Household Study 2019-2021citations

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Co-Authors (by relevance)

  • Guan, Dikai
  • Perugu, Chandra S.
  • Yuan, Liang
  • Yasa, Evren
  • Pariyar, Abhishek
  • Sharman, Adrian
  • Poyraz, Ozgur
  • Molyneux, Anthony
  • Bilgin, Guney Mert
  • Ostergaard, Halsey
  • Bhagavath, Shishira
  • Yakubov, Vladislav
  • Khezri, Mani
  • Paradowska, Anna Maria
  • Löschke, Sandra
  • Li, Qing
  • Leung, Chu Lun Alex
  • Rolfes, Melissa A.
  • Chu, Helen Y.
  • Englund, Janet A.
  • Casto, Amanda M.
  • Babu, Tara M.
  • Wang, Yongzhe Wang
  • Heimonen, Jessica
  • Chow, Eric J.
  • Emanuels, Annie
  • Hoag, Samara
  • Uyeki, Timothy M.
  • Ogokeh, Constance E.
  • Starita, Lea
OrganizationsLocationPeople

article

Understanding process parameter-induced variability for tailoring precipitation behavior, grain structure, and mechanical properties of Al-Mg-Si-Mn alloy during solid-state additive manufacturing

  • Guan, Dikai
  • Hughes, James
  • Perugu, Chandra S.
  • Yuan, Liang
  • Yasa, Evren
  • Pariyar, Abhishek
  • Sharman, Adrian
Abstract

Additive friction stir deposition (AFSD), a solid-state additive manufacturing technique, has excellent industrial application potential, particularly for Al alloys. However, in-depth process parameter-microstructure-property correlations are lacking, especially regarding precipitation behavior. In this work, AFSD of Al-Mg-Si-Mn alloy with various process parameter combinations was performed to understand the variation (by ∼ 70 %) in the nano/microhardness, concerning the precipitation behavior. The low nano/microhardness sample exhibited dissolution of the β” strengthening phase. However, higher nano/microhardness samples showed varying microstructural features with high dislocation density owing to fine-scale pre-β” precipitation and another sample possessed inhomogeneous β” phase distribution and β’ precipitation at the grain boundaries, thus exhibiting reprecipitation during AFSD. The variation in the grain structure was such that the high nano/microhardness samples exhibited large, elongated grains (∼11 to 13 µm) and low recrystallization fractions (∼16 –18 %) suggesting a predominantly non-recrystallized microstructure. Conversely, the lowest nano/microhardness sample exhibited the smallest grain size (∼5 µm) and, a higher recrystallization fraction (∼42 %). These findings demonstrate extensive variation in the precipitation behavior, grain structure, and mechanical properties due to the process parameters. Future applications can leverage this knowledge to tailor the microstructure and mechanical properties based on the identified process parameter combinations.

Topics
  • Deposition
  • density
  • grain
  • grain size
  • phase
  • dislocation
  • precipitation
  • recrystallization
  • additive manufacturing