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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Aghdam, M. M.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2016Modeling and analysis of reversible shape memory adaptive panels3citations
  • 2015Micro-mechanics of composite with SMA fibers embedded in metallic/polymeric matrix under off-axial loadings20citations
  • 2015A simple and efficient 1-D macroscopic model for shape memory alloys considering ferro-elasticity effectcitations
  • 2015Micromechanics of shape memory alloy fiber-reinforced composites subjected to multi-axial non-proportional loadings6citations
  • 2015Micro-macro thermo-mechanical analysis of axisymmetric shape memory alloy composite cylinders1citations
  • 2014Shape control of shape memory alloy composite beams in the post-buckling regime10citations
  • 2014Active shape/stress control of shape memory alloy laminated beams31citations
  • 2014On the vibration control capability of shape memory alloy composite beams52citations
  • 2014A robust three-dimensional phenomenological model for polycrystalline SMAs16citations
  • 2013A phenomenological SMA model for combined axial-torsional proportional/non-proportional loading conditions30citations

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Shakeri, M.
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Bodaghi, M.
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Liao, W. H.
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Co-Authors (by relevance)

  • Shakeri, M.
  • Bodaghi, M.
  • Liao, W. H.
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article

A robust three-dimensional phenomenological model for polycrystalline SMAs

  • Aghdam, M. M.
  • Shakeri, M.
  • Bodaghi, M.
Abstract

<p>This paper presents a robust three-dimensional phenomenological model and analytical closed-form solutions to simulate self-accommodation, martensitic transformation and orientation/reorientation of martensite in polycrystalline shape memory alloys (SMAs). The model is developed within the classical framework of thermo-dynamics of irreversible processes and utilizes the volume fractions of self-accommodated and oriented martensite as scalar internal variables and the preferred direction of oriented martensite variants as tensorial internal variable. Linear and exponential interpolation functions are introduced which respectively result in coarse and smooth transitions in stress-induced martensitic transformation. A unified constitutive model is presented for both stress and strain control modes that has the property of completely decoupling the reorientation mechanism from the martensitic transformation mechanism. The time-discrete counterpart of the unified constitutive model is introduced, integrating the evolution equation of martensite reorientation using both implicit backward Euler and explicit forward Euler schemes. Analytical closed-form solutions are derived for the preferred direction of oriented martensite variants and the volume fractions of self-accommodated and oriented martensite. In order to examine capabilities of the developed SMA model as well as the proposed closed-form solutions, two boundary value problems are solved including a thin NiTi wire under combined tension-torsion non-proportional loadings and a thin-walled NiTi tube subjected to combined internal pressure-tension/compression/torsion-heating paths. In the first problem, the model predictions are compared with the experimental data that shows good correlations. Due to simplicity and accuracy, the model can be used as an efficient and analytic computational tool to analyze structures made of SMAs under multi-axial non-proportional loading histories.</p>

Topics
  • impedance spectroscopy
  • wire