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  11. Numerical Study Of Drop Dynamics For Inkjet Based 3d Printing Of Pharmaceutical Tablets

Numerical study of drop dynamics for inkjet based 3D printing of pharmaceutical tablets

Tanu Mehta1, Hossain Aziz1, Koyel Sen1

  • 1Department of Pharmaceutical Sciences, University of Connecticut, USA.

International Journal of Pharmaceutics
|March 24, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Computational Fluid Dynamics (CFD) modeling accurately simulated inkjet 3D printing drop formation. This research validates CFD for optimizing pharmaceutical printing processes by analyzing fluid properties and drop characteristics.

Area of Science:

  • Pharmaceutical Engineering
  • Materials Science
  • Computational Science

Background:

  • 3D printing offers advantages in pharmaceutical manufacturing, including personalized medicine and cost-effectiveness.
  • Inkjet-based 3D printing is gaining traction, highlighted by FDA-approved Spritam®.
  • Precise control over ink/binder jetting dynamics is crucial for 3D printing efficiency.

Purpose of the Study:

  • To investigate the drop formation process in inkjet-based 3D printing using Computational Fluid Dynamics (CFD).
  • To analyze the influence of ink properties on drop characteristics for piezoelectric and thermal printheads.
  • To validate a CFD model against experimental data for inkjet printing applications.

Main Methods:

  • Utilized Computational Fluid Dynamics (CFD) with the Volume of Fluid (VOF) method to model drop formation.
Keywords:
3D printingCFDFluid dynamicsInkjet printing

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  • Employed ANSYS-Fluent software for CFD model development.
  • Experimentally validated the CFD model using a drop watcher setup to record drop progression and velocity.

    • Main Results:

    • Evaluated water, Fujifilm model fluid, and Amitriptyline solutions as ink formulations.
    • Examined the impact of ink properties (surface tension, viscosity, density) on drop volume, diameter, and velocity.
    • Achieved good agreement between simulated and experimental data for drop volume and velocity.

    Conclusions:

    • CFD modeling, specifically the VOF method, is a reliable tool for simulating inkjet-based 3D printing drop formation.
    • The study provides a validated approach for optimizing ink formulations and printhead designs in pharmaceutical 3D printing.
    • Understanding fluid dynamics is key to enhancing the precision and efficiency of 3D printed medicines.
    VOF