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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Materials Map under construction

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 (6/6 displayed)

  • 2018Mean-field modelling of the intermetallic precipitate phases during heat treatment and additive manufacture of Inconel 71841citations
  • 2017Mesoscale modelling of selective laser melting270citations
  • 2016Porosity formation in laser welded Ti-6Al-4V Alloy: modelling and validationcitations
  • 2016Linking a CFD and FE analysis for Welding Simulations in Ti-6Al-4Vcitations
  • 2016Linking a CFD and FE analysis for Welding Simulations in Ti-6Al-4Vcitations
  • 2016An integrated modelling approach for predicting process maps of residual stress and distortion in a laser weld1citations

Places of action

Chart of shared publication
Basoalto, Hector
4 / 9 shared
Turner, Richard
5 / 27 shared
Anderson, Magnus
2 / 3 shared
Brooks, Jeffery
4 / 12 shared
Panwisawas, Chinnapat
6 / 22 shared
Attallah, Moataz Moataz
1 / 96 shared
Qiu, Chunlei
1 / 14 shared
Perumal, Bama
4 / 8 shared
Basoalto, Hector C.
2 / 3 shared
Brooks, Jeffery W.
1 / 3 shared
Ward, Mark
3 / 25 shared
Brooks, J. W.
1 / 4 shared
Turner, Richard P.
1 / 1 shared
Ward, R. Mark
1 / 1 shared
Chart of publication period
2018
2017
2016

Co-Authors (by relevance)

  • Basoalto, Hector
  • Turner, Richard
  • Anderson, Magnus
  • Brooks, Jeffery
  • Panwisawas, Chinnapat
  • Attallah, Moataz Moataz
  • Qiu, Chunlei
  • Perumal, Bama
  • Basoalto, Hector C.
  • Brooks, Jeffery W.
  • Ward, Mark
  • Brooks, J. W.
  • Turner, Richard P.
  • Ward, R. Mark
OrganizationsLocationPeople

document

Linking a CFD and FE analysis for Welding Simulations in Ti-6Al-4V

  • Brooks, J. W.
  • Turner, Richard P.
  • Perumal, Bama
  • Ward, R. Mark
  • Panwisawas, Chinnapat
  • Basoalto, Hector C.
  • Sovani, Yogesh
Abstract

Finite element (FE) modelling of fusion welding methods has become an established numerical tool used by high-value manufacturing industries and academic communities, largely due to its capabilities to predict residual stress and distortion. However, a major drawback of this type of approach is the requirement to perform a test weld at the relevant process parameters, geometry and material to understand the size and shape of the weld pool formed. With this knowledge a priori the FE model can then be used to best-fit the thermal cycles to the part, and from the thermal field predict the mechanical response to this thermal loading. This well-established method of FE simulation reduces the predictive capabilities of the model. Thus, an improved method of using a different modelling strategy to feed the thermal cycles in to the FE model is desirable. A computational fluid dynamics (CFD) modelling capability has been developed which is able to predict not just weld pool shape, but using real physical phenomena such as surface tension and thermo-capillary forces, buoyancy forces and interfacial phenomena between solid-liquid and liquid-gas phases, can predict thermal fluid flow lines within the molten region, the presence of regions susceptible to porosity and the formation of the keyhole phase, containing metallic vapor. Using simplistic Cartesian co-ordinates the fusion boundary can be extracted from CFD analysis for entry in to an FE model for structural analysis in terms of residual stress and distortions. Therefore, the modelling approach predicts both fluid type and structural type properties of the transient welding operation.

Topics
  • impedance spectroscopy
  • surface
  • simulation
  • porosity
  • gas phase