A regime map for dry powder coating: the influence of material properties and process parameters
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Published version
Author(s)
Khala, M
Hare, C
Karde, V
Heng, JYY
Type
Journal Article
Abstract
A numerical study is carried out to investigate the combined influence of material properties and process parameters on coating quality in a high shear mixer (specifically an FT4 Powder Rheometer) to construct a regime map. The Discrete Element Method (DEM) is employed to simulate a range of material properties (size, density, and surface energy) and process parameters (impeller speed and mixing time) via Design of Experiments (DoE). A robust regime map is proposed for prediction of dry coating performance based on dimensionless Stokes deformation number (Stdef) and granular Bond number (Bo). The regime map provides insight on the optimal range of material properties and process parameters to achieve high coating levels in a high-shear bladed mixer. Furthermore, the minimum energy required to achieve optimal coating performance as well as regions of poor coating quality due to guest detachment exacerbated by excessive energy input can be identified from the regime map, thus reducing wastage of energy and coating material required. The regime map enables the required mixing time for optimal coating to be determined so long as particle size distributions and surface energies are known.
Date Issued
2023-11-23
Online Publication Date
2024-03-11T15:52:07Z
Date Acceptance
2023-11-08
ISSN
2673-2718
Publisher
Frontiers Media S.A.
Journal / Book Title
Frontiers in Chemical Engineering
Volume
5
Copyright Statement
Copyright © 2023 Khala, Hare, Karde and Heng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
License URI
Identifier
http://dx.doi.org/10.3389/fceng.2023.1301386
Publication Status
Published
Article Number
1301386
Date Publish Online
2023-11-23