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Cited by 11Advanced Materials and MechanicsPolymer composites and self-healingDielectric materials and actuators

Demonstration of a multiscale modeling technique: prediction of the stress–strain response of light activated shape memory polymers

Beblo, Richard V, Weiland, Lisa Mauck·2010·Smart Materials and Structures
DOI 10.1088/0964-1726/19/9/094012
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Abstract

Presented is a multiscale modeling method applied to light activated shape memory polymers (LASMPs). LASMPs are a new class of shape memory polymer (SMPs) being developed for adaptive structures applications where a thermal stimulus is undesirable. LASMP developmental emphasis is placed on optical manipulation of Young’s modulus. A multiscale modeling approach is employed to anticipate the soft and hard state moduli solely on the basis of a proposed molecular formulation. Employing such a model shows promise for expediting down-selection of favorable formulations for synthesis and testing, and subsequently accelerating LASMP development. An empirical adaptation of the model is also presented which has applications in system design once a formulation has been identified. The approach employs rotational isomeric state theory to build a molecular scale model of the polymer chain yielding a list of distances between the predicted crosslink locations, or r -values. The r -values are then fitted with Johnson probability density functions and used with Boltzmann statistical mechanics to predict stress as a function of the strain of the phantom polymer network. Empirical adaptation for design adds junction constraint theory to the modeling process. Junction constraint theory includes the effects of neighboring chain interactions. Empirical fitting results in numerically accurate Young’s modulus predictions. The system is modular in nature and thus lends itself well to being adapted to other polymer systems and development applications.

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  • The intensity, polarization, and phase of light can be easily modulated into complex patterns.

    “The intensity, polarization, and phase can be easily modulated into complex patterns [538,539].”

    From A review of stimuli-responsive shape memory polymer composites (2013) · cites this paper as [539]

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Related

Authors
Beblo, R. V., & Weiland, L. M.
Affiliations
University of Pittsburgh (US)
ORCID
Beblo, Richard V
Venue
Smart Materials and Structures
Publisher
IOP Publishing
Published
2010-08-05
Volume
19
Issue
9
Pages
094012
ISSN
  • 0964-1726 (ISSN-L)
  • 1361-665X
DOI
10.1088/0964-1726/19/9/094012
OpenAlex
W2069845860
Cited by
11
References
18
Citations by year
2025: 3 · 2020: 2 · 2019: 1 · 2017: 1 · 2013: 3 · 2012: 1
FWCI
2.43
Type
journal article
Language
en
Open access
closed
Locations
Smart Materials and Structures (publishedVersion)
Funders
Defense Advanced Research Projects Agency
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
  • Physical Sciences › Materials Science › Polymers and Plastics › Polymer composites and self-healing
  • Physical Sciences › Engineering › Biomedical Engineering › Dielectric materials and actuators
Keywords
multiscale modeling, stress-strain behavior, Young's modulus prediction, adaptive structures, optical actuation

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