Volume 141, Issue 1 e54750
RESEARCH ARTICLE

Influence of annealing-induced phase separation on the shape memory effect of graphene-based thermoplastic polyurethane nanocomposites

Fernanda Cabrera Flores Valim

Fernanda Cabrera Flores Valim

Mackgraphe-Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian Institute, São Paulo, Brazil

Institute for Technological Research (IPT)–Laboratory of Chemical Processes and Particle Technology, Group for Bionanomanufacturing (BIONANO), São Paulo, Brazil

Engineering School, Mackenzie Presbyterian University, São Paulo, Brazil

Contribution: Conceptualization (lead), Data curation (lead), Formal analysis (lead), ​Investigation (lead), Methodology (lead), Writing - original draft (lead), Writing - review & editing (lead)

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Gustavo Peixoto Oliveira

Gustavo Peixoto Oliveira

Mackgraphe-Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian Institute, São Paulo, Brazil

Contribution: Formal analysis (supporting), ​Investigation (supporting), Methodology (supporting), Writing - original draft (supporting)

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Lucilene Betega de Paiva

Lucilene Betega de Paiva

Institute for Technological Research (IPT)–Laboratory of Chemical Processes and Particle Technology, Group for Bionanomanufacturing (BIONANO), São Paulo, Brazil

Contribution: Conceptualization (equal), Formal analysis (equal), Funding acquisition (lead), Methodology (equal), Supervision (equal), Writing - original draft (equal), Writing - review & editing (equal)

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Leice Gonçalves Amurin

Leice Gonçalves Amurin

Center of Technology in Nanomaterials (CTNano), Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil

Contribution: ​Investigation (equal), Methodology (equal), Writing - original draft (equal), Writing - review & editing (equal)

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Chiara Santillo

Chiara Santillo

Institute for Polymers, Composites and Biomaterials, National Research Council of Italy (IPCB-CNR), Portici, Italy

Contribution: Formal analysis (equal), ​Investigation (equal), Methodology (equal), Validation (equal), Writing - original draft (equal), Writing - review & editing (equal)

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Marino Lavorgna

Corresponding Author

Marino Lavorgna

Institute for Polymers, Composites and Biomaterials, National Research Council of Italy (IPCB-CNR), Portici, Italy

Correspondence

Marino Lavorgna, Institute for Polymers, Composites and Biomaterials, National Research Council of Italy (IPCB-CNR), Portici (NA), Italy.

Email: [email protected]

Ricardo Jorge Espanhol Andrade, Mackgraphe-Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian Institute, São Paulo, Brazil.

Email: [email protected]

Contribution: Data curation (lead), Formal analysis (lead), ​Investigation (equal), Methodology (equal), Validation (lead), Writing - original draft (lead), Writing - review & editing (lead)

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Ricardo Jorge Espanhol Andrade

Corresponding Author

Ricardo Jorge Espanhol Andrade

Mackgraphe-Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian Institute, São Paulo, Brazil

Engineering School, Mackenzie Presbyterian University, São Paulo, Brazil

Correspondence

Marino Lavorgna, Institute for Polymers, Composites and Biomaterials, National Research Council of Italy (IPCB-CNR), Portici (NA), Italy.

Email: [email protected]

Ricardo Jorge Espanhol Andrade, Mackgraphe-Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian Institute, São Paulo, Brazil.

Email: [email protected]

Contribution: Conceptualization (lead), Data curation (lead), Formal analysis (lead), Funding acquisition (lead), ​Investigation (lead), Methodology (equal), Project administration (lead), Resources (lead), Supervision (lead), Validation (lead), Writing - original draft (lead), Writing - review & editing (lead)

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First published: 03 October 2023

Abstract

Thermoplastic polyurethane (TPU) is a multiblock copolymer that exhibits an attractive shape memory effect (SME). Its morphology consists of a soft segment (SS), which corresponds to the polyol or a long-chain diol, while the hard segment involves the intercalation of a diisocyanate and a chain extender. Due to the distinct thermodynamic parameters of each monomer, these segments are not miscible with each other, resulting in a phase-separated structure in their morphology. This structure is characterized by the formation of soft and hard domains (SD and HD), respectively. When incorporating 0.1 wt% of graphene nanoplatelets (GNP) or 0.1 wt% of multilayer graphene oxide (mGO) into the TPU matrix using solution casting process, a contribution to the phase separation of these domains is observed. This phenomenon becomes even more pronounced when graphene-based nanocomposites are subjected to annealing at 110°C for 24 hours, indicating a good interaction between the GO and GNP with the HD and SS, respectively. After annealing, the nanocomposites (TPU + GNP and TPU + mGO) exhibit improved performance in SME, as evidenced by an approximately 9% increase in the shape recovery ratio compared to the nonannealed TPU. Additionally, all nanocomposites maintained a high strain during SME programming, surpassing that of pure TPU, both before and after annealing. This suggests a direct influence of the graphene-based nanoparticles on the shape memory effect.

CONFLICT OF INTEREST STATEMENT

The authors declare no conflict of interest.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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