TY - JOUR
T1 - Investigating the upper limit for applying the coarse grain model in a discrete element method examining mixing processes in a rolling drum
AU - Kosaku, Yoshihiro
AU - Tsunazawa, Yuki
AU - Tokoro, Chiharu
N1 - Funding Information:
Part of this work was performed at the Waseda Research Institute for Science and Engineering and Research Organization for Open Innovation Strategy, Waseda University. We thank Suzanne Adam, PhD, from Edanz (https://jp.edanz.com/ac) for editing a draft of this manuscript.
Publisher Copyright:
© 2021 The Society of Powder Technology Japan
PY - 2021
Y1 - 2021
N2 - Mixing is an essential manufacturing process in various industries. The processing procedure and final product quality depend on the homogeneity of mixing. Because it is difficult to evaluate mixing systems experimentally, the discrete element method is commonly employed. However, as the number of particles increases, this approach incurs huge computational costs. The coarse grain model offers a potential solution, but its applicability has not been widely demonstrated; this study aimed to elucidate the upper limit for applying the coarse grain model. To determine the appropriate simulation parameters, calibrations were performed by comparing the powder bed in experiments versus simulations. Various mixing processes were numerically evaluated, and the mixing characteristics were qualitatively consistent among all coarse-grained ratios. These mixing systems were also evaluated quantitatively based on Lacey's mixing index, which indicated that the upper limit of the coarse-grained ratio was five times. It is therefore important to secure a sufficient number of particles in each cell and to use an appropriate number of cells. This study clarified the upper application limit and criteria for the coarse grain model and verified the maximum coarse-grained ratio (five times). This approach can be used to determine the coarse-grained ratio and reduce computational costs.
AB - Mixing is an essential manufacturing process in various industries. The processing procedure and final product quality depend on the homogeneity of mixing. Because it is difficult to evaluate mixing systems experimentally, the discrete element method is commonly employed. However, as the number of particles increases, this approach incurs huge computational costs. The coarse grain model offers a potential solution, but its applicability has not been widely demonstrated; this study aimed to elucidate the upper limit for applying the coarse grain model. To determine the appropriate simulation parameters, calibrations were performed by comparing the powder bed in experiments versus simulations. Various mixing processes were numerically evaluated, and the mixing characteristics were qualitatively consistent among all coarse-grained ratios. These mixing systems were also evaluated quantitatively based on Lacey's mixing index, which indicated that the upper limit of the coarse-grained ratio was five times. It is therefore important to secure a sufficient number of particles in each cell and to use an appropriate number of cells. This study clarified the upper application limit and criteria for the coarse grain model and verified the maximum coarse-grained ratio (five times). This approach can be used to determine the coarse-grained ratio and reduce computational costs.
KW - Coarse grain model
KW - Coarse-grained ratio
KW - Discrete element method
KW - Lacey's mixing index
KW - Mixing
UR - http://www.scopus.com/inward/record.url?scp=85115038859&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85115038859&partnerID=8YFLogxK
U2 - 10.1016/j.apt.2021.08.039
DO - 10.1016/j.apt.2021.08.039
M3 - Article
AN - SCOPUS:85115038859
SN - 0921-8831
JO - Advanced Powder Technology
JF - Advanced Powder Technology
ER -