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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Tamanna, Nusrat

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University of Warwick

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2022Effect of Sample Geometry on Strain Uniformity and Double Hit Compression Tests for Softening Kinetics Determination1citations
  • 2022Effect of sample geometry on strain uniformity and double hit compression tests for softening kinetics determination1citations
  • 2021Optimising compression testing for strain uniformity to facilitate microstructural assessment during recrystallisation4citations
  • 2021Optimising compression testing for strain uniformity to facilitate microstructural assessment during recrystallisation4citations

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Chart of shared publication
Davis, Claire
3 / 47 shared
Slater, Carl
2 / 16 shared
Chart of publication period
2022
2021

Co-Authors (by relevance)

  • Davis, Claire
  • Slater, Carl
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article

Optimising compression testing for strain uniformity to facilitate microstructural assessment during recrystallisation

  • Tamanna, Nusrat
  • Davis, Claire
Abstract

Predicting the kinetics of recrystallisation in metals, and recrystallised grain size distributions, is one the key approaches to controlling and refining grain size during metal processing, which typically increases strength and toughness/ductility. Recrystallisation prediction models and equations are supported by lab-based simulations that can systematically assess recrystallisation over a range of temperatures and strains for different materials and starting grain sizes. This work uses modelling and experimental verification to assess the different commonly used compression test sample geometries to determine strain uniformity and potential sources of error in microstructural assessment and proposes a modified geometry that increases the area of constant known strain. Whilst flow stress measurements in all samples showed good agreement. It has been shown that the new plane strain geometry offers a more consistent, homogeneous strain through the sample such that the large number of grains needed for accurate grain size distribution measurement can be readily achieved. Over double the area of ±10% of the target strain was achieved in the modified plane strain sample compared to a conventional uniaxial specimen, this area was also shown to be more conducive to metallographic assessment and offers in excess of 1500 grains of 250 μm to be assess per cross-sectional slice.

Topics
  • impedance spectroscopy
  • grain
  • grain size
  • simulation
  • strength
  • compression test
  • ductility