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

Journal Article · 13 February 2024 · Heliyon

DOI: https://doi.org/10.1016/j.heliyon.2024.e26320 · OSTI ID:2471185

Shabanian, Jaber ^[1]; Duchesne, Marc A.  ^[2]; Syamlal, Madhava  ^[3]; Runstedtler, Allan ^[2]

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1. CanmetENERGY, Ottawa, ON (Canada); Polytechnique Montreal, QC (Canada)
2. CanmetENERGY, Ottawa, ON (Canada)
3. National Energy Technology Laboratory (NETL), Morgantown, WV (United States)

Agglomeration of wet particles, i.e., particles coated with a thin liquid layer, is a common phenomenon in many processes like fluidized bed combustion of low rank fuels. The availability of an agglomeration model that can evaluate the outcome of a binary collision between wet particles differing in solid particle properties, liquid layer thicknesses, and initial collision (impact) speeds is essential for obtaining a comprehensive understanding on the existing processes experiencing wet particle agglomeration or for a successful development of new processes with high chances of wet particle agglomeration. This study presents a generalized agglomeration model on the basis of energy conservation before and after collision when colliding wet particles may differ in solid particle properties, liquid layer thicknesses, and impact speeds. The model was established based on the approximate values of energy losses that may happen during the collision. It incorporates body forces, solid-solid contacting, liquid capillary, and viscous contributions, as well as the liquid bridge volume effect. Predictions of the new model for collision outcomes of identical wet particles were like those from an analytical energy balance model developed recently by the group for identical wet particles. We also validated the new model by experimental data from literature. The results of a collision direction analysis indicated that the direction often has a minimal effect on the collision outcome in many practical scenarios. The results of Monte Carlo uncertainty analyses with the new model revealed that proper estimations of impact speed, under capillary limiting conditions, and thickness of coating layers and asperity heights, under viscous limiting conditions, are critical for the realistic prediction of collision outcomes at impact speeds close to critical impact speed, i.e., the minimum particle speed required for the particles to rebound.

• Research Organization: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
• Sponsoring Organization: USDOE
• OSTI ID: 2471185
• Journal Information: Heliyon, Journal Name: Heliyon Journal Issue: 7 Vol. 10; ISSN 2405-8440
• Publisher: ElsevierCopyright Statement
• Country of Publication: United States
• Language: English