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Related Experiment Video

Updated: Sep 1, 2025

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Modeling Self-Rollable Elastomeric Films for Building Bioinspired Hierarchical 3D Structures.

Lorenzo Vannozzi1,2, Alessandro Lucantonio1,2, Arturo Castillo1,2

  • 1The BioRobotics Institute, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, 56127 Pisa, Italy.

International Journal of Molecular Sciences
|August 12, 2022
PubMed
Summary
This summary is machine-generated.

A new model accurately predicts radii in rolled polydimethylsiloxane (PDMS) bilayers, improving upon existing formulas by including friction for large deformations. This innovation is key for advanced materials and bioinspired designs.

Keywords:
bilayerbioinspired materialsmicrofabricationpolydimethylsiloxaneprogrammable deformationself-rolling

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Biomedical Engineering

Background:

  • Rolled structures from elastomeric bilayers are crucial for advanced applications.
  • Existing models like Timoshenko's formula have limitations in predicting behavior under large deformations and multi-turn rolling.

Purpose of the Study:

  • To develop an innovative model for predicting inner and outer radii in rolled polydimethylsiloxane (PDMS) bilayers.
  • To improve upon Timoshenko's formula by incorporating inter-layer friction for multi-turn rolling.
  • To explore applications in cell/tissue engineering and bioinspired materials.

Main Methods:

  • Development of a predictive model for rolled elastomeric bilayers.
  • Incorporation of friction effects between layers during multi-turn rolling.
  • Experimental validation using PDMS bilayers with varied initial strain and thickness.

Main Results:

  • The model accurately predicted experimental data for inner and outer radii, with errors below 2% for the outer diameter under high friction.
  • The model demonstrated superior performance compared to existing literature, especially for multi-turn rolling scenarios.
  • Successful prediction of complex 3D bioinspired hierarchical elastomeric microstructures with errors smaller than 18%.

Conclusions:

  • The proposed model enhances the prediction of rolled structure geometry, particularly for elastomeric bilayers undergoing large deformations.
  • The model's ability to account for friction broadens its applicability in materials design.
  • The findings open new avenues for fabricating and modeling bioinspired materials for diverse applications, including tissue engineering.