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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Eindhoven University of Technology

in Cooperation with on an Cooperation-Score of 37%

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Publications (7/7 displayed)

  • 2023Model-Based Design to Enhance Neotissue Formation in Additively Manufactured Calcium-Phosphate-Based Scaffolds6citations
  • 2022BioDegcitations
  • 20223D-Printed Synthetic Hydroxyapatite Scaffold With In Silico Optimized Macrostructure Enhances Bone Formation In Vivo56citations
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  • 2021Computational modeling of degradation process of biodegradable magnesium biomaterials35citations
  • 2019Multiphase aluminum A356 foam formation process simulation using lattice Boltzmann method4citations
  • 2014Simulation of unconstrained solidification of A356 aluminum alloy on distribution of micro/macro shrinkage10citations

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Sadeghian Dehkord, Ehsan
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Liang, Bingbing
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Pirson, Justine
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Lambert, France
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Van Hede, Dorien
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Shetabivash, Hasan
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Mirbagheri, Seyyed Mohammad Hosein
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Mirbagheri, Seyed Mohammad Hossein
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Firoozi, Sadegh
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  • Sadeghian Dehkord, Ehsan
  • Liang, Bingbing
  • Pirson, Justine
  • Lambert, France
  • Van Hede, Dorien
  • Nolens, Grégory
  • Verlée, Bruno
  • Geris, Liesbet
  • Anania, Sandy
  • Hede, Dorien Van
  • Lamaka, Sviatlana V.
  • Mei, Di
  • Bayani, Hossein
  • Shetabivash, Hasan
  • Mirbagheri, Seyyed Mohammad Hosein
  • Mirbagheri, Seyed Mohammad Hossein
  • Firoozi, Sadegh
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article

Simulation of unconstrained solidification of A356 aluminum alloy on distribution of micro/macro shrinkage

  • Mirbagheri, Seyed Mohammad Hossein
  • Bayani, Hossein
  • Barzegari, Mojtaba
  • Firoozi, Sadegh
Abstract

In the condition of Newtonian heat transfer, A356 aluminum alloy is solidified with randomly distributed equiaxed dendrites. Ability of interdendritic liquid flow is described by permeability parameter using Darcy's law and this parameter is used to predict the micro-shrinkages. In this study the interdendritic liquid flow during nucleation and grain growth are simulated in a 1 mm × 1 mm domain. Temperature gradient is zero in the initial condition of the unconstrained solidification. The numerical simulation procedure includes two stages; first, numerical evolution of the shape, number, size, and distribution of dendrites during solidification using a novel Cellular Automation Finite Volume (CA-FV) method, and second, numerical determination of the micro-permeability by a Computational Fluid Dynamics (CFD) technique. Subsequently, the effect of Reynolds number, cooling rate and solidification rate on a critical permeability range was investigated in order to predict the micro/macro shrinkage distribution. Results showed that it is possible to propose a mathematical model to relate the Reynolds number and liquid flow rate, in the creeping flow range, on the micro-permeability during unconstrained solidification.

Topics
  • impedance spectroscopy
  • grain
  • simulation
  • aluminium
  • permeability
  • solidification
  • grain growth