A generalized analytical energy balance model for evaluating agglomeration from a binary collision of wet particles

Area of Science:

• Chemical Engineering
• Materials Science
• Fluid Dynamics

Background:

• Wet particle agglomeration is crucial in processes like fluidized bed combustion.
• Understanding binary collisions of wet particles with varying properties is essential for process optimization.
• Existing models often lack the generalized approach needed for diverse wet particle systems.

Purpose of the Study:

• To develop a generalized agglomeration model for binary wet particle collisions.
• To incorporate energy conservation principles and various physical interactions.
• To provide a tool for predicting collision outcomes in diverse industrial applications.

Main Methods:

• Developed a model based on energy conservation before and after collision.
• Incorporated body forces, solid-solid contact, liquid capillary, and viscous effects.
• Validated the model using existing analytical models and experimental data.

Main Results:

• The generalized model accurately predicts collision outcomes for identical wet particles.
• Model predictions align with experimental data from literature.
• Collision direction has minimal impact on outcomes in many practical scenarios.

Conclusions:

• The new generalized model offers a robust approach to predicting wet particle agglomeration.
• Accurate estimation of impact speed and layer properties is critical for precise predictions.
• The model enhances understanding and design of processes involving wet particle interactions.