An approach to predict the shape-memory behavior of amorphous polymers from Dynamic Mechanical Analysis (DMA) data

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6 Citations (Scopus)

Abstract

The prediction of shape-memory behavior is essential regarding the design of a smart material for different applications. This paper proposes a simple and quick method for the prediction of shape-memory behavior of amorphous shape memory polymers (SMPs) on the basis of a single dynamic mechanical analysis (DMA) temperature sweep at constant frequency. All the parameters of the constitutive equations for linear viscoelasticity are obtained by fitting the DMA curves. The change with the temperature of the time–temperature superposition shift factor (aT) is expressed by the Williams–Landel–Ferry (WLF) model near and above the glass transition temperature (Tg), and by the Arrhenius law below Tg. The constants of the WLF and Arrhenius equations can also be determined. The results of our calculations agree satisfactorily with the experimental free recovery curves from shape-memory tests.

Original languageEnglish
Pages (from-to)87-93
Number of pages7
JournalMechanics of Time-Dependent Materials
Volume19
Issue number1
DOIs
Publication statusPublished - 2015

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Dynamic mechanical analysis
Shape memory effect
Polymers
Intelligent materials
Viscoelasticity
Constitutive equations
Recovery
Temperature

Keywords

  • Dynamic mechanical analysis (DMA)
  • Free recovery curve
  • Shape memory polymer (SMP)
  • Shift factor

ASJC Scopus subject areas

  • Materials Science(all)
  • Chemical Engineering(all)
  • Mechanical Engineering
  • Aerospace Engineering

Cite this

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title = "An approach to predict the shape-memory behavior of amorphous polymers from Dynamic Mechanical Analysis (DMA) data",
abstract = "The prediction of shape-memory behavior is essential regarding the design of a smart material for different applications. This paper proposes a simple and quick method for the prediction of shape-memory behavior of amorphous shape memory polymers (SMPs) on the basis of a single dynamic mechanical analysis (DMA) temperature sweep at constant frequency. All the parameters of the constitutive equations for linear viscoelasticity are obtained by fitting the DMA curves. The change with the temperature of the time–temperature superposition shift factor (aT) is expressed by the Williams–Landel–Ferry (WLF) model near and above the glass transition temperature (Tg), and by the Arrhenius law below Tg. The constants of the WLF and Arrhenius equations can also be determined. The results of our calculations agree satisfactorily with the experimental free recovery curves from shape-memory tests.",
keywords = "Dynamic mechanical analysis (DMA), Free recovery curve, Shape memory polymer (SMP), Shift factor",
author = "{\'A}kos Kuki and K. Czifr{\'a}k and J. Karger-Kocsis and M. Zsuga and S. K{\'e}ki",
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AU - Kuki, Ákos

AU - Czifrák, K.

AU - Karger-Kocsis, J.

AU - Zsuga, M.

AU - Kéki, S.

PY - 2015

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N2 - The prediction of shape-memory behavior is essential regarding the design of a smart material for different applications. This paper proposes a simple and quick method for the prediction of shape-memory behavior of amorphous shape memory polymers (SMPs) on the basis of a single dynamic mechanical analysis (DMA) temperature sweep at constant frequency. All the parameters of the constitutive equations for linear viscoelasticity are obtained by fitting the DMA curves. The change with the temperature of the time–temperature superposition shift factor (aT) is expressed by the Williams–Landel–Ferry (WLF) model near and above the glass transition temperature (Tg), and by the Arrhenius law below Tg. The constants of the WLF and Arrhenius equations can also be determined. The results of our calculations agree satisfactorily with the experimental free recovery curves from shape-memory tests.

AB - The prediction of shape-memory behavior is essential regarding the design of a smart material for different applications. This paper proposes a simple and quick method for the prediction of shape-memory behavior of amorphous shape memory polymers (SMPs) on the basis of a single dynamic mechanical analysis (DMA) temperature sweep at constant frequency. All the parameters of the constitutive equations for linear viscoelasticity are obtained by fitting the DMA curves. The change with the temperature of the time–temperature superposition shift factor (aT) is expressed by the Williams–Landel–Ferry (WLF) model near and above the glass transition temperature (Tg), and by the Arrhenius law below Tg. The constants of the WLF and Arrhenius equations can also be determined. The results of our calculations agree satisfactorily with the experimental free recovery curves from shape-memory tests.

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KW - Free recovery curve

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KW - Shift factor

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