A numerical analysis of the influence of material properties on dry powder coating performance

Dry powder coating is a preferable surface modification technique over the traditional aqueous coating technique due to reduced energy waste and less environmental impact. Despite the benefits of dry powder coating, excessive amount of coating powder energy input is often applied to ensure sufficient coating is achieved. In this study, the Discrete Element Method (DEM) is utilised to assess the influence of material properties on dry coating efficiency in a blade-driven system.

Highlights

• DEM is used to assess the effect of material properties on dry coating efficiency.

• The influence of size ratio, density ratio and surface energy are investigated.

• Coating performance is predicted based on granular Bond number.

• An optimal range of material properties is defined to maximise surface coverage.

Granular Bond number is used to predict coating performance based on multiple simulations with varied material properties. This provides insight on the optimal range of material properties (size ratio, density ratio and surface energy) to achieve uniformly distributed coatings, thus providing precise control of the quantity of coating material required and minimising energy consumption.

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Marv J. Khala, Colin Hare, Vikram Karde, Jerry Y.Y. Heng, A numerical analysis of the influence of material properties on dry powder coating performance, Chemical Engineering Research and Design, Volume 193, 2023, Pages 158-167, ISSN 0263-8762, https://doi.org/10.1016/j.cherd.2023.03.028.