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Related Experiment Video

Updated: Oct 30, 2025

Rapid and Low-cost Prototyping of Medical Devices Using 3D Printed Molds for Liquid Injection Molding
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Simulation Approach for Hydrophobicity Replication via Injection Molding.

Tomás Baldi-Boleda1, Ehsan Sadeghi1, Carles Colominas2

  • 1Grup d'Enginyeria en Producte Industrial (GEPI), Institut Químic de Sarrià, Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain.

Polymers
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

Simulating nanopattern replication for complex 3D hydrophobic surfaces is computationally intensive. Polyflow software significantly reduces simulation time, enabling efficient process parameter optimization for enhanced replication.

Keywords:
computational fluid dynamics (CFD)finite elements (FE)hydrophobicitynanopatternplastic injectionreplicationsimulationviscosityvolume of fluid (VOF)

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Area of Science:

  • Materials Science
  • Computational Fluid Dynamics (CFD)
  • Polymer Processing

Background:

  • Nanopattern replication via plastic injection is crucial for advanced materials.
  • Simulating complex 3D structures demands significant computational resources.
  • Previous methods faced high CPU demands for 2D periodic trench simulations.

Purpose of the Study:

  • To develop efficient simulation methods for complex 3D nanopattern replication.
  • To compare computational fluid dynamics (CFD) software for accuracy and speed.
  • To identify optimal processing parameters for hydrophobic surface replication.

Main Methods:

  • Utilized Ansys Fluent and FE-based CFD Polyflow for laminar flow simulations.
  • Compared simulation performance for replicating complex 3D hydrophobic surfaces.
  • Analyzed the impact of injection and mold temperatures on replication fidelity.

Main Results:

  • Polyflow reduced simulation time from 72 hours to 5 minutes.
  • Higher injection and mold temperatures correlated with improved hydrophobicity replication.
  • FE-based CFD Polyflow demonstrated superior computational efficiency over traditional CFD.

Conclusions:

  • Polyflow is an effective tool for simulating nanopattern replication.
  • Optimized process parameters (temperature, cycle times) can be determined using Polyflow.
  • Efficient simulation accelerates the development of hydrophobic surfaces with nanopatterns.