Investigation of parameters to achieve temperatures required to initiate the shape-memory effect of magnetic nanocomposites by inductive heating
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The activation of the shape-memory effect of nanocomposites (NC) by alternating magnetic fields requires exceeding the switching temperature T s . Different factors, which can influence this process, have been investigated. The intrinsic properties of magnetic nanoparticles (MNP), their content and distribution in the polymer matrix as well as the heat transport conditions, which are essentially determined by the surface to volume ratio (S/V) of the specimens and their surroundings, influence the achievable temperature in an alternating magnetic field. We used MNP having an iron (II, III) oxide core embedded in amorphous silica, which was homogeneously distributed in a polymer matrix by extrusion moulding. The thermoplastic polymer matrix consists either of an aliphatic polyetherurethane (TFX) for demonstration of the basic correlations between magnetic field and the sample, or of a biodegradable multiblock copolymer (PDC), which is prepared from hard segment forming poly(p-dioxanone)diol (PPDO), switching segment forming poly(ε-caprolactone)diol (PCL) and 2,2(4),4-trimethylhexanediisocyanate (TMDI) as a junction unit. We could demonstrate that a nanoparticle content up to 10 wt% does not decisively change the shape-memory properties or mechanical properties of PDC-based materials.
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To obtain outstanding magnetic-active shape memory effect, a homogeneous distribution and a large content of fillers in the shape memory polymer matrix are required.
“To obtain outstanding magnetic-active SME, a homogeneous distribution and a large content of fillers in the SMP matrix are required [375,391].”
From A review of stimuli-responsive shape memory polymer composites (2013) · cites this paper as [375]
Section 3.2 says homogeneous nanoparticle distribution is a prerequisite for consistent heating and that increasing particle content raises the achievable temperature. It does not establish that a large filler content is required for a strong magnetically activated shape-memory effect; the Results and discussion also identify magnetic-field conditions, particle properties, sample geometry, and surroundings as relevant factors. Page numbers are unavailable in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredTo obtain outstanding magnetic-active SME, a homogeneous distribution and a large content of fillers in the SMP matrix are required.
“To obtain outstanding magnetic-active SME, a homogeneous distribution and a large content of fillers in the SMP matrix are required [375,391].”
From A review of stimuli-responsive shape memory polymer composites (2013) · cites this paper as [375]
Section 3.2 says homogeneous nanoparticle distribution is a prerequisite for consistent heating and that increasing particle content raises the temperature. But Section 3 says magnetic triggering depends on several interdependent conditions; it does not establish that a large filler content is required for an outstanding shape-memory effect. Page numbers are unavailable in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe relationships among the interface interaction, induction heating performance, as well as the influence on the mechanical properties and SME have been investigated systemically.
“The relationships among the interface interaction, induction heating performance, as well as the influence on the mechanical properties and SME have been investigated systemically [375,380,391,396].”
From A review of stimuli-responsive shape memory polymer composites (2013) · cites this paper as [375]
The Results and discussion and §§3.7–3.8 examine induction-heating conditions, mechanical properties, and shape-memory properties. The paper notes a hydrophobic nanoparticle coating, but the passages do not establish a systematic investigation of how nanoparticle–polymer interface interactions relate to heating performance and those properties. Page numbers are unavailable in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSMPs can be thermally triggered by indirect heating via Joule effect, infra-red irradiation, or magnetically actuated nanocomposites.
“In addition, SMPs can be thermally-triggered by indirect heating via Joule effect (e.g., PURs enriched with carbon nanotubes) [41,42], infra-red (IR) irradiation (e.g., cellulose nanocrystals filled thermoplastics elastomers) [43] or magnetically actuated nanocomposites [44-46].”
From Shape-memory polymers for multiple applications in the materials world (2016) · cites this paper as [45]
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- Authors
- Weigel, T., Mohr, R., & Lendlein, A.
- Affiliations
- Research Institute Bioactive Polymer Systems (DE)
- ORCID
- Lendlein, A
- Venue
- Smart Materials and Structures
- Publisher
- IOP Publishing
- Published
- 2009-01-13
- Volume
- 18
- Issue
- 2
- Pages
- 025011
- ISSN
- 0964-1726 (ISSN-L)
- 1361-665X
- OpenAlex
- W2017243495
- Cited by
- 109
- References
- 34
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 3 · 2022: 2 · 2021: 5 · 2020: 6 · 2019: 5 · 2017: 3 · 2016: 9 · 2015: 5 · 2014: 12 · 2013: 10 · 2012: 11
- FWCI
- 26.72
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Smart Materials and Structures (publishedVersion)
- Helmholtz-Zentrum Geesthacht Zentrum für Materialforschung und kustenforschung (The Helmholtz Center Geesthacht) (submittedVersion)
- Funders
- Bundesministerium für Wirtschaft und Technologie
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
- Physical Sciences › Materials Science › Polymers and Plastics › Polymer composites and self-healing
- Physical Sciences › Materials Science › Materials Chemistry › Shape Memory Alloy Transformations
- Keywords
- shape memory effect, magnetic nanocomposites, induction heating, alternating magnetic field, switching temperature, iron oxide nanoparticles, silica-coated nanoparticles, heat transport, surface-to-volume ratio, polyether polyurethane, poly(ε-caprolactone) diol, extrusion moulding, nanoparticle content, mechanical properties
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