Review on CFD modeling of electrostatic powder charging during pneumatic conveying

TL;DR

This review analyzes the current state and limitations of CFD models for electrostatic powder charging in pneumatic conveying, highlighting recent advances and ongoing challenges in developing reliable predictive tools.

Contribution

The paper provides a comprehensive review of recent CFD modeling approaches for powder electrification, including new models and frameworks that improve simulation efficiency and accuracy.

Findings

Condenser model fails to predict key charging features.

Advanced models like the non-uniform charge model improve local charge distribution predictions.

Eulerian framework offers computational efficiency for powder charging simulations.

Abstract

Thus far, Computational Fluid Dynamics (CFD) simulations fail to reliably predict the electrostatic charging of powder during pneumatic conveying. The lack of a predictive tool is one reason for unwanted discharges and growing deposits that make a plant a prime candidate for an explosion. This paper reviews the numerical models' state-of-the-art, limitations, and progress in recent years. In particular, the discussion includes the condenser model, which is up to today most popular in CFD simulations of powder flow electrification but fails to predict most of its features. New experiments led to advanced models, such as the non-uniform charge model, which resolves the local distribution of charge on non-conductive particle surfaces. Further, models relying on the surface state theory predicted bipolar charging of polydisperse particles made of the same material. Whereas these models were usually implemented in CFD tools using an Eulerian-Lagrangian strategy, powder charging was recently successfully described in an Eulerian framework. The Eulerian framework is computationally efficient when handling complete powders; thus, this research can pave the way from academic studies to simulating powder processing units. Overall, even though CFD models for powder flow charging improved, major hurdles toward a predictive tool remain.