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Modeling powder encapsulation in dosator-based machines: I. Theory.

Ammar Khawam1

  • 1Department of Pharmaceutics, Boehringer Ingelheim Pharmaceuticals, 900 Ridgebury Road, Ridgefield, CT 06877, USA. ammar.khawam@boehringer-ingelheim.com

International Journal of Pharmaceutics
|October 25, 2011
PubMed
Summary

This study models powder encapsulation in dosator-based machines, predicting plug weight and length. The model considers factors like powder density, compression, and piston movement for accurate capsule filling.

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Area of Science:

  • Pharmaceutical Engineering
  • Materials Science

Background:

  • Automatic capsule filling machines utilize dosing discs or dosators.
  • Dosator-based machines create compressed powder plugs for capsule insertion.

Purpose of the Study:

  • To develop and present a model for predicting powder plug weight and length in dosator-based capsule filling.
  • To provide the theoretical foundation for the encapsulation model, outlining its applications and limitations.

Main Methods:

  • Modeling the powder compression and plug formation process within a dosator.
  • Identifying key parameters influencing plug weight (piston dimensions, powder density, precompression) and length (piston height, displacement, spring stiffness, compressibility).

Main Results:

  • Plug weight is determined by piston dimensions, powder-bed height, bulk density, and precompression.
  • Plug length depends on piston height, displacement, spring stiffness, and powder compressibility.
  • Powder densification can be achieved through precompression, compression, or a combination of both.

Conclusions:

  • The developed model offers a theoretical basis for understanding and predicting encapsulation performance.
  • The model's predictions for plug weight and length are contingent on specific input parameters.
  • Future work will involve applying this theoretical model to experimental data for validation.