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 (10/10 displayed)

  • 2022Finite Element Modeling of Hot Compression Testing of Titanium Alloys8citations
  • 2021Quantifying Processing Map Uncertainties by Modeling the Hot-Compression Behavior of a Zr-2.5Nb Alloy6citations
  • 2021Superalloys & High Performance Materials - Lecture Coursecitations
  • 2021Co-deformation and dynamic annealing effects on the texture development during alpha–beta processing of a model Zr-Nb alloy20citations
  • 2021Co-deformation and dynamic annealing effects on the texture development during alpha–beta processing of a model Zr-Nb alloy20citations
  • 2020On the observation of annealing twins during simulating β-grain refinement in Ti–6Al–4V high deposition rate AM with in-process deformation48citations
  • 2019Direct Evidence for a Dynamic Phase Transformation during High Temperature Deformation in Ti-64 [Preprint]citations
  • 2019A detailed study of texture changes during alpha–beta processing of a zirconium alloy27citations
  • 2019A detailed study of texture changes during alpha–beta processing of a zirconium alloy27citations
  • 2019Quantifying Processing Map Uncertainties by Modelling the Hot-Compression Behaviour of a Zr-2.5Nb Alloy [Preprint]citations

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Chart of shared publication
Da Fonseca, Joao Quinta
1 / 3 shared
Jedrasiak, Patryk
2 / 6 shared
Shercliff, Hugh
1 / 6 shared
Mishra, Sumeet
1 / 2 shared
Shercliff, Hugh R.
1 / 1 shared
Quinta Da Fonseca, João
5 / 76 shared
Peyton, Christian J.
1 / 1 shared
Bradley, Luke
5 / 6 shared
Honniball, Peter D.
5 / 5 shared
Garner, Alistair
3 / 47 shared
Preuss, Michael
2 / 101 shared
Prangnell, Philip B.
1 / 8 shared
Prangnell, Philip
1 / 41 shared
Donoghue, Jack
1 / 29 shared
Prangnell, Phil B.
1 / 1 shared
Martina, Filomeno
1 / 20 shared
Da Fonseca, João Quinta
1 / 7 shared
Davis, Alec E.
1 / 24 shared
Chart of publication period
2022
2021
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Co-Authors (by relevance)

  • Da Fonseca, Joao Quinta
  • Jedrasiak, Patryk
  • Shercliff, Hugh
  • Mishra, Sumeet
  • Shercliff, Hugh R.
  • Quinta Da Fonseca, João
  • Peyton, Christian J.
  • Bradley, Luke
  • Honniball, Peter D.
  • Garner, Alistair
  • Preuss, Michael
  • Prangnell, Philip B.
  • Prangnell, Philip
  • Donoghue, Jack
  • Prangnell, Phil B.
  • Martina, Filomeno
  • Da Fonseca, João Quinta
  • Davis, Alec E.
OrganizationsLocationPeople

booksection

Quantifying Processing Map Uncertainties by Modeling the Hot-Compression Behavior of a Zr-2.5Nb Alloy

  • Shercliff, Hugh R.
  • Daniel, Christopher S.
  • Quinta Da Fonseca, João
  • Jedrasiak, Patryk
  • Peyton, Christian J.
  • Bradley, Luke
  • Honniball, Peter D.
Abstract

Compression dilatometer tests were used to study the hot deformation response of a zirconium (Zr)-2.5% niobium (Nb) alloy over the temperature range 650°C to 850°C and strain rates of 10−2.5 s−1 to 10+1 s−1. A high number of test conditions was used (72, with every test duplicated) in order to assess how differences in data processing influence the resulting relationships among flow stress, temperature, and strain rate. Particular attention was paid to processing maps, showing strain-rate sensitivity over the processing domain, commonly cited in the field and widely used as a basis to determine optimum processing conditions. Significant variations in these maps were found to depend on the number of data points included and the fitting procedure used to smooth the data. A finite element model of the test demonstrates the order of the corrections that can be required to the flow stress and the consequent processing maps due to friction at the platen-workpiece interface and nonuniform temperature and deformation in the test piece. Changes in crystallographic texture, measured using electron-backscatter diffraction, illustrate the effect of temperature, strain, and strain rate on the deformation, phase transformation, and recrystallization mechanisms. A significant spread in response arises as a result of variation in microtexture among samples and the tendency for flow to localize, giving rise to scatter in the measurements and generating artifacts in the processing map. Although the processing map methodology is strongly affected by experimental uncertainty, a detailed analysis of the final microstructures in the test samples shows similar features to those produced during industrial-scale processing, providing insight into the deformation mechanisms in dual-phase Zr-Nb alloys.

Topics
  • impedance spectroscopy
  • microstructure
  • phase
  • zirconium
  • texture
  • deformation mechanism
  • recrystallization
  • niobium