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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United Kingdom Atomic Energy Authority

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2021High strain rate elasto-plasticity identification using the Image-Based Inertial Impact (IBII) test part 1: Error quantification11citations
  • 2021High strain rate elasto-plasticity identification using the Image-Based Inertial Impact (IBII) test part 2: Experimental validation8citations
  • 2020Image-Based Inertial Impact (IBII) Tests for Measuring the Interlaminar Shear Moduli of Composites6citations
  • 2020The off-axis IBII test for composites9citations
  • 2020Image-based inertial impact (IBII) tests for measuring the interlaminar shear moduli of compositescitations
  • 2019A Manual for Conducting Image-Based Inertial Impact (IBII) Testscitations
  • 2019A Manual for Conducting Image-Based Inertial Impact (IBII) Testscitations
  • 2019Dynamic VFM to Identify Viscoplastic Parameters. Analysis of Impact Tests on Titanium Alloycitations
  • 2018Inertial impact tests to identify the plastic properties of metals1citations
  • 2018Image-based inertial impact test for composite interlaminar tensile properties22citations
  • 2018Image-based high strain rate testing of orthopaedic bone cement1citations
  • 2018An image-based approach for measuring dynamic fracture toughnesscitations

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Chart of shared publication
Pierron, Fabrice
10 / 41 shared
Davis, Frances M.
2 / 2 shared
Dreuilhe, Sarah Marie
2 / 2 shared
Marek, Aleksander
2 / 2 shared
Parry, Samuel Laurence
1 / 1 shared
Van Blitterswyk, Jared
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Bouda, Pascal
1 / 8 shared
Langrand, Bertrand
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Fourest, Thomas
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Notta-Cuvier, Delphine
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Markiewicz, Eric
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Davis, Frances
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Seghir, Rian
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Browne, Martin
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Regal, Xavier
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Lamberson, Leslie
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Co-Authors (by relevance)

  • Pierron, Fabrice
  • Davis, Frances M.
  • Dreuilhe, Sarah Marie
  • Marek, Aleksander
  • Parry, Samuel Laurence
  • Van Blitterswyk, Jared
  • Bouda, Pascal
  • Langrand, Bertrand
  • Fourest, Thomas
  • Notta-Cuvier, Delphine
  • Markiewicz, Eric
  • Davis, Frances
  • Seghir, Rian
  • Browne, Martin
  • Regal, Xavier
  • Lamberson, Leslie
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article

High strain rate elasto-plasticity identification using the Image-Based Inertial Impact (IBII) test part 1: Error quantification

  • Pierron, Fabrice
  • Davis, Frances M.
  • Dreuilhe, Sarah Marie
  • Marek, Aleksander
  • Fletcher, Lloyd
Abstract

Current high strain rate testing procedures generally rely on the split Hopkinson bar (SHB). In order to gain accurate material data with this technique it is necessary to assume the test sample is in a state of quasi-static equilibrium so that inertial effects can be neglected. During the early portion of an SHB test it is difficult to satisfy this assumption making it challenging to investigate the elastic-plastic transition for metals. With the development of ultra-high speed imaging technology the image-based inertial impact (IBII) test has emerged as an alternative to the SHB. This technique uses full-field measurements coupled with the virtual fields method to identify material properties without requiring the assumption of quasi-static equilibrium. The purpose of this work is to develop the IBII method for the identification of elastoplasticity in metals. In this paper (part 1) the focus is on using synthetic image deformation simulations to analyse identification errors for two plasticity models, a simple linear hardening model and a modified Voce model. Additionally, two types of virtual fields are investigated, a simple rigid body virtual field and the recently developed sensitivity-based virtual fields. The results of these simulations are then used to select optimal processing parameters for the experimental data analysed in part 2.<br/>

Topics
  • impedance spectroscopy
  • polymer
  • simulation
  • plasticity