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Particle aggregation with simultaneous surface growth.

Pablo Mitchell1, Michael Frenklach

  • 1Department of Mechanical Engineering, University of California at Berkeley, 94720-1740, USA. pablo.mitchell@cal.Berkeley.EDU

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Summary
This summary is machine-generated.

This study models particle aggregation and surface growth using dynamic Monte Carlo simulations. Findings reveal that particle morphology during aggregation depends on surface deposition and nucleation rates.

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Area of Science:

  • Physical Chemistry
  • Materials Science
  • Chemical Engineering

Background:

  • Particle aggregation and surface growth are critical phenomena in various industrial processes.
  • Understanding the interplay between aggregation kinetics and surface deposition is essential for controlling particle morphology.
  • Existing models often simplify the complex dynamics of simultaneous aggregation and growth.

Purpose of the Study:

  • To model particle aggregation with simultaneous surface growth using a dynamic Monte Carlo method.
  • To investigate the transition between coalescent and fractal aggregation regimes.
  • To quantify the influence of surface deposition and nucleation rates on particle morphology.

Main Methods:

  • Dynamic Monte Carlo simulations were employed to model particle aggregation.
  • Simulations included scenarios with and without surface growth, and varied growth conditions.
  • Shape descriptors were utilized to quantify particle geometry and define aggregation regimes.

Main Results:

  • Particle morphology is strongly influenced by surface deposition and nucleation rates.
  • A transition between coalescent and fractal aggregation regimes was identified and characterized.
  • The timing and rate of surface growth significantly impact the final aggregate structure.

Conclusions:

  • The dynamic Monte Carlo model effectively captures the complex interplay of aggregation and surface growth.
  • Particle morphology control can be achieved by manipulating surface deposition and nucleation processes.
  • This research provides insights into the fundamental mechanisms governing particle formation and evolution.