Multiscale simulation of fine grinding and dispersing processes: Stressing probability, stressing energy and resultant breakage rate

Beinert, S.; Fragnière, Greta; Schilde, Carsten; Kwade, Arno

doi:10.1016/j.apt.2017.11.034

Cited by 44 publications

(13 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The highest SNg (>15 × 10 8 /m 3 s) can be found in this area (Figure 13b). Overall, the SNg that the product particles are captured at and stressed by the grinding media increases with stirrer speed [15].…”

Section: Stress Energy Distributionmentioning

confidence: 95%

“…In fact, most of the energy of the grinding media is dissipated as heat via several mechanisms, such as friction against the chamber wall, bead-bead contacts and bead wear/deformation [22]. However, the 'true' stress energy contributing to particle crushing, and the energy efficiency simulation, remain unknown and need to be addressed in future [15,17].…”

Section: Energy Efficiencymentioning

confidence: 99%

“…Cisternas et al [14] analyzed the current trends of multiphase system in modeling, design and optimization. Beinert et al [15] developed a multi-scale modelling method to predict and optimize wet grinding processes. Based on the DEM-CFD simulation, the acting forces, stressing probability, stressing energy and bead motion are studied at the meso-and macro-scales.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation of Grinding Media Motion and Collisions in Wet-Operated Accelerator-Mill Using DEM Coupled with CFD

Jia

Sun

et al. 2022

Minerals

View full text Add to dashboard Cite

The relative motion and collision between grinding media in a wet-stirred accelerator mill are modelled using the discrete element method (DEM) coupled with computational fluid dynamics (CFD). The local average normalized grinding media velocity profile is employed to divide the grinding chamber into four volumes, which facilitates the analysis of the stress energy distribution. The local grinding media filling levels, velocity distributions, stress energy distributions and energy efficiencies are compared at various total grinding media filling levels and stirrer speeds. The rationality of the division of stress energy volume was verified by the stress energy distribution. The stress intensity, stress number and collision stress energy from the grinding media’s motion and particle collisions exhibited different distributions, with the stress number playing a leading role in the collision stress energy distribution. Moreover, energy efficiency is quantitatively characterized under different process conditions. This simulation-based research provides a theoretical reference for the industrial application and product development of accelerator mills used for grinding applications.

show abstract

Section: Stress Energy Distributionmentioning

confidence: 95%

Section: Energy Efficiencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation of Grinding Media Motion and Collisions in Wet-Operated Accelerator-Mill Using DEM Coupled with CFD

Jia

Sun

et al. 2022

Minerals

View full text Add to dashboard Cite

show abstract

“…[ 91 ] Further, computational fluid dynamics (CFD)/discrete element method (DEM) model were developed at meso‐ and macro‐ scale to focus on the acting forces, stressing probability, grinding media motion and the stressing energy distribution of a stirred media mill, and at micro‐scale to investigate the effect of the drag coefficient and the fracture processes of aggregates with various fractal dimension and solid bond properties. [ 92 ] DEM simulations on an N‐methyl‐2‐pyrrolidone (NMP) based cathode slurries with 95.5 wt.% LiNi 0.6 Co 0.2 Mn 0.2 O 2 (NCM622) and a high mass content (82.5 wt.%) indicated that the minimum particle sizes of CB after long dispersion follow a power‐law function and converge to a reachable end particle size, which is dependent on the acting shear stresses processed in a planetary mixer PMH10 from NETZSCH. [ 93 ] An important work focusing on efficiency, stress intensity, viscosity, and stress energy by different milling machines and kneader was carried out to compare the different stress mechanisms dominated the dispersing process at different stages of the process, and the characteristic product quality of various dispersing devices with respect to required specific energy input and applicable solids content are shown in Figure , [ 94 ] though the respective stress mechanisms and the accumulative stress intensity distribution of a process might need further proof by CFD‐DEM studies.…”

Section: Transforming Materials Into Practicalmentioning

confidence: 99%

Transforming Materials into Practical Automotive Lithium‐Ion Batteries

Hou

Yang

Zhou³

et al. 2021

Adv Materials Technologies

View full text Add to dashboard Cite

Although tremendous efforts have been devoted into research and development of materials science and engineering, chemistry, electrochemistry, and solid‐state physics in lithium‐ion batteries (LIBs) over the last 30 years, the critical technologies and applied science underneath manufacturing and processing seem very seldom reported, which is further manifested by the realization of the gap between academy and industry within recent years. In this paper, the intrinsic relationship of materials‐processing‐performance is highlighted by thoroughly reviewing the bridge effect of processing, transport, and transfer at different scales across electrode, heterogeneous thermodynamics, and kinetics during charge‐discharge cycles, the tradeoff between areal capacity and rate performance, and some practical novel electrode designs. Based on very limited open literature, the fundamental basics and sciences of the state of art production steps including slurry mixing, coating, drying, calendering, electrolyte filling, and formatting are comprehensively discussed. Through correlating with the materials design and development, the electrode compositions and structures, and the bridge effect of processing, the in‐depth understanding of the importance of individual steps and their interactions are provided to shed light on further improvement on materials and manufacturing for LIBs.

show abstract

“…Typical 𝜇 ! values of analogous analyses in DEM range from 0.20 to 0.40 for beads feeds of similar roughness and hardness [43,44]. 𝜇 !…”

Section: Calibration Of Dem Parametersmentioning

confidence: 99%

Application of hydrodynamic lubrication in discrete element method (DEM) simulations of wet bead milling chambers

et al. 2021

View full text Add to dashboard Cite

Multiscale simulation of fine grinding and dispersing processes: Stressing probability, stressing energy and resultant breakage rate

Cited by 44 publications

References 45 publications

Simulation of Grinding Media Motion and Collisions in Wet-Operated Accelerator-Mill Using DEM Coupled with CFD

Simulation of Grinding Media Motion and Collisions in Wet-Operated Accelerator-Mill Using DEM Coupled with CFD

Transforming Materials into Practical Automotive Lithium‐Ion Batteries

Application of hydrodynamic lubrication in discrete element method (DEM) simulations of wet bead milling chambers

Contact Info

Product

Resources

About