Micromechanism-based magneto-thermomechanical properties of magnetic particles filled shape memory polymer composite

•A magneto-thermo viscoplastic model is established based on the microphysical mechanism of interaction between magnetic nanoparticles and polymer chains ; the viscous dissipation and heating mechanism of MSMPC are considered by the relaxation behavior of magnetic nanoparticles under magnetic field....

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Veröffentlicht in:Composite structures 2024-03, Vol.331, p.117837, Article 117837
Hauptverfasser: Zhang, Li, Jiang, Kun, Tao, Ran, Mao, Yiqi, Hou, Shujuan
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Sprache:eng
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Zusammenfassung:•A magneto-thermo viscoplastic model is established based on the microphysical mechanism of interaction between magnetic nanoparticles and polymer chains ; the viscous dissipation and heating mechanism of MSMPC are considered by the relaxation behavior of magnetic nanoparticles under magnetic field.•The phenomena-logical viscoplastic model effectively illustrates the multiple (thermal and magnetic) shape memory and non-contact deformation behaviors of MSMPC.•The effects of each physical mechanism and characteristic parameters/conditions on shape memory behavior are discussed in detail. Magnetic nanoparticles-filled shape memory polymer composite (MSMPC) possesses excellent magnetothermal property, showing wide prospects for engineering applications. The thermo-magnetically triggered shape memory (SM) process contains complex multi-physical mechanisms, especially when coupled with finite deformation rooted on micro-mechanisms. A multi-physicals finite deformation model is necessary to get a deep understanding on the coupled magneto-thermo-mechanical properties of MSMPC, beneficial to its design and wide application. Taking into consideration of micro-physical mechanisms of the nanoparticles interacting with chain network, a finite deformation theoretical model is developed in this work based on two superimposed networks of a crosslinked network formed between magnetic particles (PP network) and another crosslinked network of polymer chains (CC network). The intact CC network is considered featuring with entropic-hyperelastic properties, superimposed with a PP network where effects of particle size and chain distribution between particle-pairs are considered. The model is calibrated by a series of experiments and is further used to investigate multiply (magnetically and thermally) triggered shape recoveries by directly heating and magnetic-heating due to Neel and Brown relaxation. Numerical examples assess the effects of nanoparticle concentration and size, magnetic field strength, loading strain rate and phase evolution on SM behavior. This model demonstrates good feasibility in capturing the coupled magneto-thermo-mechanical behavior of MSMPC and provides theoretical understandings and design guidelines for MSMPC.
ISSN:0263-8223
1879-1085
DOI:10.1016/j.compstruct.2023.117837