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 (2/2 displayed)

  • 2023Phase‐field modeling of stress‐ and temperature‐induced hysteresis behavior of shape memory alloys incorporating rate‐independent dissipation1citations
  • 2023A non-iterative parameter identification procedure for the non-local Gurson–Tvergaard–Needleman model based on standardized experiments7citations

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Kiefer, Bjoern
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Patil, Siddhi Avinash
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Von Oertzen, Vincent
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Hütter, Geralf
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Pham, Rinh-Dinh
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Seupel, Andreas
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2023

Co-Authors (by relevance)

  • Kiefer, Bjoern
  • Patil, Siddhi Avinash
  • Von Oertzen, Vincent
  • Hütter, Geralf
  • Pham, Rinh-Dinh
  • Kuna, Meinhard
  • Seupel, Andreas
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article

Phase‐field modeling of stress‐ and temperature‐induced hysteresis behavior of shape memory alloys incorporating rate‐independent dissipation

  • Kiefer, Bjoern
  • Patil, Siddhi Avinash
  • Von Oertzen, Vincent
  • Khatib, Omar El
Abstract

<jats:title>Abstract</jats:title><jats:p>Shape memory alloys (SMAs) are a unique class of multifunctional materials, which exhibit distinctive thermomechanical properties. They are primarily characterized by their ability to recover their original shape under stress and temperature‐controlled loading scenarios. This exceptional property is attributed to the phase transformation that occurs within these alloys, wherein SMAs undergo reversible transition between austenite and multi‐variant martensite phases. The phase transformation in SMAs during a complete load cycle results in a hysteresis, which represent the dissipated energy in the transformation cycle. More specifically, SMAs exhibit a rate‐independent response to a sufficiently slow loading, so that their cyclic response is characterized by a hysteresis loop that maintains a finite width even when the external loading rate approaches zero. Understanding and accurately predicting the rate‐independent hysteresis behavior of SMAs is therefore crucial for their efficient utilization in various engineering applications. In this regard, the phase‐field method has emerged as an appropriate modeling framework resolving the evolution of complex interface topologies as observed in phase‐transforming solids. However, the majority of already existing models typically rely on rate‐dependent formulations and thus remain incapable of reproducing thermoelastic hysteresis behavior at quasi‐static loading scenarios. To overcome this issue, a thermomechanically coupled—and variationally consistent—Allen–Cahn based phase‐field approach incorporating both rate‐dependent and ‐independent driving force formulations is introduced in this work. In order to demonstrate potential applications of the proposed model, two‐dimensional finite‐element simulations were performed to resolve the microstructure formation of twinned martensite in ZrO<jats:sub>2</jats:sub>. In addition, rate‐dependent and ‐independent stress‐ and temperature‐induced hysteresis curves are predicted qualitatively within the given approach, thus proving its adaptability. Furthermore, the influence of model specific parameters on resulting austenitic and martensitic start and finish temperatures is discussed for cyclic undercooling simulations. The proposed model is thus shown to serve as a valuable tool for the design and optimization of SMA‐based devices.</jats:p>

Topics
  • impedance spectroscopy
  • phase
  • simulation
  • twinned