Modelling the thermo-mechanical responses and shape recovery performance of particle-reinforced shape memory polymer composites in cold and hot programming

Wencheng Pan, Lili Wan, Hao Duan, Jianping Gu, Huiyu Sun · Elsevier BV · 2026

A study focused on modeling thermo-mechanical behavior and shape recovery of particle-reinforced shape-memory polymer composites when programmed in cold versus hot conditions.

Moderate AI ConfidenceStrong SourceSimulationReadiness Unknown

Plain English summary

The record is about modeling how particle-reinforced shape-memory polymer composites respond to thermo-mechanical conditions. It specifically addresses shape recovery performance under two programming regimes: cold programming and hot programming. No abstract text is provided, so the specific modeling approach, materials details, and results are not available from the provided information.

Why this matters

Unknown (no abstract content provided to state what is new). No evidence is provided about prototypes, testing, or commercialization; only 'modelling' is indicated by the title.

Limitations

The abstract is empty, so there is no information on methods, results, validation, or claimed novelty/limitations beyond what can be inferred from the title.

Publication

Publisher
Elsevier BV
Publication date
August 1, 2026
Research type
Paper
License
https://www.elsevier.com/tdm/userlicense/1.0/

Tags

More on Shape-Memory Polymers

See all →
Shape-Memory Polymerspaper· Jul 7, 2026

Mobility-Driven Design of PDMS-Modified Glassy Polymer Networks for Thermally Activated Shape Memory in Vat Photopolymerization

By tuning PDMS-MMA mobility segments and switching monomer chemistry in photocurable networks, the study achieves thermally activated shape-memory behavior suitable for vat photopolymerization 4D printing.

Yura Choi, Namchul Cho · MDPI AGLaboratory Research
Shape-Memory Polymerspaper· May 25, 2026

In Situ Scanning Electron Microscopy Investigation of Flexural and Interlaminar Failure Mechanisms in Carbon Nanotube‐Reinforced Shape Memory Polymer Composites

In situ SEM shows that CNT-reinforced shape memory polymer composites fail via distinct, architecture-dependent mechanisms, with buckypaper interleaves improving Mode II interlaminar fracture toughness.

Jose Roman, Mohamed H. Hamza +1 · WileyLaboratory Research
Shape-Memory Polymerspaper· Apr 27, 2026

Solvent‐Responsive Shape Memory Porous Semicrystalline Thermoplastic Polyurethane

Porous semicrystalline TPU made by salt-leaching can recover shape in ethyl acetate, with solvent-driven changes in amorphous mobility and partial crystalline dissolution improving recovery while preserving mechanical properties.

Jizhong Huang, Meiqing Wang +3 · WileyLaboratory Research
Shape-Memory Polymerspaper· Mar 6, 2026

Shape Memory Polymers: An Overview

This review systematically surveys shape-memory polymer composites and their thermally, solvent, light, electrically, and magnetically induced response mechanisms, highlighting key design strategies and remaining challenges.

Wen Xin, Zihan Yang +2 · WileyUnknown
Shape-Memory Polymerspaper· Feb 10, 2026

Fluorescent Shape Memory Polymer with Dynamic Aggregation-Induced Emission Cross-Linking: Visualization and Prediction of Shape Memory Performance

A fluorescent shape-memory polymer is designed with dynamic aggregation-induced emission cross-linking to enable visualization and prediction of its shape-memory performance.

Yangfei Wu, Haotian Ma +7 · American Chemical Society (ACS)Unknown
Shape-Memory Polymerspaper· Feb 1, 2026

Photothermal driven shape memory polymer based on MXene-grafted-polycaprolactone with fast response and easy recyclability

A photothermal-driven shape-memory polymer based on MXene-grafted polycaprolactone is presented as having fast response and easy recyclability.

Jingyue Zhang, Haoge Cheng +6 · Elsevier BVUnknown
Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-5.4-nano-2026-03-17