Coarse-Grained Discrete Element Method of Particle Behavior and Heat Transfer in a Rotary Kiln

2021 ◽  
pp. 130969
Author(s):  
Motoaki Saruwatari ◽  
Hideya Nakamura
Keyword(s):  
Heat Transfer ◽  
Discrete Element Method ◽  
Rotary Kiln ◽  
Discrete Element ◽  
Coarse Grained ◽  
Particle Behavior ◽  
Element Method

scholarly journals Coarse-grained discrete element method for granular shear flow

2020 ◽  
Vol 4 ◽  
pp. 100050
Author(s):  
Hideya Nakamura ◽  
Hiroharu Takimoto ◽  
Naoki Kishida ◽  
Shuji Ohsaki ◽  
Satoru Watano
Keyword(s):  
Shear Flow ◽  
Discrete Element Method ◽  
Discrete Element ◽  
Coarse Grained ◽  
Granular Shear ◽  
Element Method

Predicting Skin Friction and Heat Transfer for Turbulent Flow Over Real Gas-Turbine Surface Roughness Using the Discrete-Element Method

2003 ◽  
Author(s):  
Stephen T. McClain ◽  
B. Keith Hodge ◽  
Jeffrey P. Bons
Keyword(s):  
Heat Transfer ◽  
Surface Roughness ◽  
Wind Tunnel ◽  
Discrete Element Method ◽  
Skin Friction ◽  
Gas Turbine ◽  
Discrete Element ◽  
Real Gas ◽  
Roughness Elements ◽  
Element Method

The discrete-element method considers the total aerodynamic drag on a rough surface to be the sum of shear drag on the flat part of the surface and the form drag on the individual roughness elements. The total heat transfer from a rough surface is the sum of convection through the fluid on the flat part of the surface and the convection from each of the roughness elements. The discrete-element method has been widely used and validated for predicting heat transfer and skin friction for rough surfaces composed of sparse, ordered, and deterministic elements. Real gas-turbine surface roughness is different from surfaces with sparse, ordered, and deterministic roughness elements. Modifications made to the discrete-element roughness method to extend the validation to real gas-turbine surface roughness are detailed. Two rough surfaces found on high-hour gas-turbine blades were characterized using a Taylor-Hobson Form Talysurf Series 2 profilometer. Two rough surfaces and two elliptical-analog surfaces were generated for wind-tunnel testing using a three-dimensional printer. The printed surfaces were scaled to maintain similar boundary-layer thickness to roughness height ratio in the wind tunnel as found in gas-turbine operation. The results of the wind tunnel skin friction and Stanton number measurements and the discrete-element method predictions for each of the four surfaces are presented and discussed. The discrete-element predictions made considering the gas-turbine roughness modifications are within 7% of the experimentally-measured skin friction coefficients and are within 16% of the experimentally-measured Stanton numbers.

scholarly journals Investigating Electrode Calendering and its Impact on Electrochemical Performance by Means of a New Discrete Element Method Model: Towards a Digital Twin of Li-Ion Battery Manufacturing

2020 ◽  
Author(s):  
Alain Ngandjong ◽  
Teo Lombardo ◽  
Emiliano Primo ◽  
Mehdi Chouchane ◽  
Abbos Shodiev ◽  
...  
Keyword(s):  
Discrete Element Method ◽  
Electrochemical Performance ◽  
Active Material ◽  
Lithium Ion ◽  
Discrete Element ◽  
Coarse Grained ◽  
Manufacturing Optimization ◽  
Explicit Consideration ◽  
Method Model ◽  
Element Method

Lithium-ion battery (LIB) manufacturing optimization is crucial to reduce its CO2 fingerprint and cost, while improving their electrochemical performance. In this article, we present an experimentally validated calendering Discrete Element Method model for LiNi0.33Mn0.33Co0.33O2–based cathodes by considering explicitly both active material (AM) and carbon-binder domain (CBD). This model was coupled to a pre-existing Coarse-Grained Molecular Dynamics model describing the slurry equilibration and its drying and a 4D-resolved Finite Element Method model for predicting electrochemical performance. Our calendering model introduces important novelties versus the state of the art, such as the utilization of un-calendered electrode mesostructures resulting from validated simulations of the slurry and drying combined with the explicit consideration of the spatial distribution and interactions between AM and CBD particles, and its validation with both experimental micro-indentation and porosity vs. calendering pressure curves. The effect of calendering on the electrode mesostructure is analyzed in terms of pore size distribution, tortuosity and particles arrangement. In addition, the evolution of the macroscopic electrochemical behavior of the electrodes upon the degree of calendering is discussed, offering added insights into the links between the calendering pressure, the electrode mesostructure and its overall performance.<br>

scholarly journals Algorithm design and the development of a discrete element method for simulating particulate flow and heat transfer

Clean Energy ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 141-166
Author(s):  
Bing Liu
Keyword(s):  
Heat Transfer ◽  
Discrete Element Method ◽  
Algorithm Design ◽  
Discrete Element ◽  
Discharge Process ◽  
Time Step ◽  
Flow And Heat Transfer ◽  
Alloy Particles ◽  
The Status ◽  
Element Method

Abstract An algorithm using the discrete element method (DEM) for simulating the particulate behaviour of flow and heat transfer is developed and described, the reasonable hypothesis and the ingenious design of which have been presented in detail. The organizational structure of the developed algorithm contains an efficient method for determining particle collisions, the status analysis for each particle and the particulate-kinematics analysis during the time step. The reasonability and correctness of the developed DEM algorithm are validated by laboratory experiments: the discharge process of glass beads from a silo; and heating of metal alloy particles in a calciner. Afterwards, a group of validated mechanics parameter values for coal and sand have been tested and verified in the article, preparing for the simulation of the pyrolysis process in a downer or screw reactor in subsequent research projects.

Smoothed Particle Hydrodynamics and Discrete Element Method Coupling for Influence of Hexagonal Boron Nitride Lubricant Particle on Friction of Elastic Coarse-Grained Micronscale Iron

2021 ◽  
Vol 144 (1) ◽  
Author(s):  
Le Van Sang ◽  
Akihiko Yano ◽  
Ai I. Osaka ◽  
Natsuko Sugimura ◽  
Hitoshi Washizu
Keyword(s):  
Boron Nitride ◽  
Discrete Element Method ◽  
Smoothed Particle Hydrodynamics ◽  
Hexagonal Boron Nitride ◽  
Discrete Element ◽  
Coarse Grained ◽  
Protective Film ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
Element Method

Abstract The present study uses the smoothed particle hydrodynamics (SPH) and discrete element method (DEM) coupling to investigate influence of the hexagonal boron nitride (hBN) particles on friction of the elastic coarse-grained micronscale iron. The hBN lubricant particles significantly improve the friction performance of iron in various simulation behaviors. The particle size, the air/water background containing the particles, and its temperature result in reduction of the friction coefficient. The surface mending, the protective film, and the energy dissipation are the main mechanisms related to the friction reduction. Additionally, it is worthy to note that the static friction and the kinetic friction can be clearly observed by this elastic coarse-graining.

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