TY - JOUR
T1 - DEM modelling for flow of cohesive lignocellulosic biomass powders
T2 - Model calibration using bulk tests
AU - Pachón-Morales, John
AU - Do, Huy
AU - Colin, Julien
AU - Puel, François
AU - Perré, Patrick
AU - Schott, Dingena
N1 - Accepted Author Manuscript
PY - 2019
Y1 - 2019
N2 - Biomass feeding problems greatly hinder the industrialization of entrained-flow gasification systems for production of 2nd generation biofuels. Appropriate DEM modelling could allow engineers to design solutions that overcome these flow problems. This work shows the application of a DEM calibration framework to produce a realistic, calibrated and efficient material model for lignocellulosic biomass. A coarse (500–710 µm) and a fine (200–315 µm) sieving cut of milled poplar were used in this study. The elongated shape and the cohesive behavior were respectively simulated using a coarse-grained multisphere approach and a cohesive SJKR contact model. Measurements of three physical responses (angle-of-repose, bulk density, a retainment ratio) allowed calibration of the sliding (µs) and rolling friction (µr) coefficients and the cohesion energy density (CED). Using a statistical analysis, the most influential calibration parameters for each bulk response were identified. A Non-Dominated Sorting Genetic Algorithm was used to solve the calibration multi-objective optimization problem. Several sets of optimal solutions reproduced accurately the three physical responses and the experimental shear responses were closely reproduced by simulations for the population of coarse particles. The DEM calibration framework studied here aims to produce material models useful for assessing flow behavior and equipment interaction for biomass particles.
AB - Biomass feeding problems greatly hinder the industrialization of entrained-flow gasification systems for production of 2nd generation biofuels. Appropriate DEM modelling could allow engineers to design solutions that overcome these flow problems. This work shows the application of a DEM calibration framework to produce a realistic, calibrated and efficient material model for lignocellulosic biomass. A coarse (500–710 µm) and a fine (200–315 µm) sieving cut of milled poplar were used in this study. The elongated shape and the cohesive behavior were respectively simulated using a coarse-grained multisphere approach and a cohesive SJKR contact model. Measurements of three physical responses (angle-of-repose, bulk density, a retainment ratio) allowed calibration of the sliding (µs) and rolling friction (µr) coefficients and the cohesion energy density (CED). Using a statistical analysis, the most influential calibration parameters for each bulk response were identified. A Non-Dominated Sorting Genetic Algorithm was used to solve the calibration multi-objective optimization problem. Several sets of optimal solutions reproduced accurately the three physical responses and the experimental shear responses were closely reproduced by simulations for the population of coarse particles. The DEM calibration framework studied here aims to produce material models useful for assessing flow behavior and equipment interaction for biomass particles.
KW - Cohesion
KW - Discrete element method
KW - Multi-objective optimization
KW - Parameter calibration
KW - Woody biomass powder
UR - http://www.scopus.com/inward/record.url?scp=85060430984&partnerID=8YFLogxK
U2 - 10.1016/j.apt.2019.01.003
DO - 10.1016/j.apt.2019.01.003
M3 - Article
AN - SCOPUS:85060430984
SN - 0921-8831
VL - 30
SP - 732
EP - 750
JO - Advanced Powder Technology
JF - Advanced Powder Technology
IS - 4
ER -