Application of the discrete element method for manufacturing process simulation in the pharmaceutical industry

SB Yeom, ES Ha, MS Kim, SH Jeong, SJ Hwang… - Pharmaceutics, 2019 - mdpi.com
Process simulation using mathematical modeling tools is becoming more common in the
pharmaceutical industry. A mechanistic model is a mathematical modeling tool that can …

[HTML][HTML] Jamming during particle spreading in additive manufacturing

W Nan, M Pasha, T Bonakdar, A Lopez, U Zafar… - Powder Technology, 2018 - Elsevier
Additive manufacturing (AM) is going through an exponential growth, due to its enormous
potential for rapid manufacturing of complex shapes. One of the manufacturing methods is …

DEM parameter calibration of cohesive bulk materials using a simple angle of repose test

T Roessler, A Katterfeld - Particuology, 2019 - Elsevier
The numerical effort of discrete element method (DEM) simulations results in a general
idealisation of DEM models that makes the calibration crucial to obtaining realistic …

High shear seeded granulation: Its preparation mechanism, formulation, process, evaluation, and mathematical simulation

R Maharjan, SH Jeong - Powder Technology, 2020 - Elsevier
Seeded granulation is one of the recently adopted wet granulation techniques. The seeded
granules consist of high-density core nuclei and low-density particles layered on the outside …

[HTML][HTML] Numerical simulation of particle flow and segregation during roller spreading process in additive manufacturing

W Nan, M Pasha, M Ghadiri - Powder Technology, 2020 - Elsevier
Additive Manufacturing (AM) using powder spreading requires uniform spreading. For
narrow spreader gaps, as commonly used, transient jamming and segregation could …

On the scaling law of JKR contact model for coarse-grained cohesive particles

X Chen, JA Elliott - Chemical Engineering Science, 2020 - Elsevier
The computational cost of using discrete element method (DEM) simulations for particulate
processes with fine and cohesive particles is enormously large. To overcome this limitation …

The effect of particle shape on predicted segregation in binary powder mixtures

M Alizadeh, A Hassanpour, M Pasha, M Ghadiri… - Powder Technology, 2017 - Elsevier
Particle shape driven segregation in particulate mixtures has received limited attention in the
literature either experimentally or via simulation. This study investigates the shape driven …

A coarse grain model with parameter scaling of adhesion forces from liquid bridge forces and JKR theory in the discrete element method

Y Kosaku, Y Tsunazawa, C Tokoro - Chemical Engineering Science, 2023 - Elsevier
The discrete element method (DEM) is a reliable tool for analyzing powder processes.
However, the DEM is problematic for fine particle simulations owing to its huge …

Application of a staggered symmetrical spiral groove wheel on a quantitative feeding device and investigation of particle motion characteristics based on DEM

X Gao, G Xie, Y Xu, Y Yu, Q Lai - Powder Technology, 2022 - Elsevier
The uniformity of particle flow is the key to the research of quantitative feeding devices.
Ensuring particle motion characteristics will help improve the working performance of the …

Numerical simulation of particle mixing and granulation performance in rotating drums during the iron ore sintering process

Y Wang, J Xu, S He, S Liu, Z Zhou - Powder Technology, 2023 - Elsevier
Granulation is an important process in iron ore sintering to increase particle size for better
permeability. In this study, the granulation of mixed iron ore, coke, and flux in a rotating drum …