Schneiderbauer S

About Schneiderbauer S

Schneiderbauer S, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at Johannes Kepler Universität Linz, specializes in the field of fluidised beds, gas-particle flows, turbulence modelling, kinetic theory of granular flows, discrete element method.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dust cloud evolution and flame propagation of organic dust deflagration under low wall influence

A comprehensive comparison of Two-Fluid Model, Discrete Element Method and experiments for the simulation of single-and multiple-spout fluidized beds

Machine Learning Approaches to Close the Filtered Two-Fluid Model for Gas–Solid Flows: Models for Subgrid Drag Force and Solid Phase Stress

Validation study of a Spatially-Averaged Two-Fluid Model for heat transport in gas-particle flows

Anisotropy characterization of turbulent fluidization

The impact of interphase forces on the modulation of turbulence in multiphase flows

Measurement of dust flame propagation and temperature with low wall influence

Toward a universal description of multiphase turbulence phenomena based on the vorticity transport equation

Schneiderbauer S Information

University

Position

Department of Particulate Flow Modelling

Citations(all)

1740

Citations(since 2020)

1054

Cited By

1168

hIndex(all)

23

hIndex(since 2020)

19

i10Index(all)

41

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Schneiderbauer S Skills & Research Interests

fluidised beds

gas-particle flows

turbulence modelling

kinetic theory of granular flows

discrete element method

Top articles of Schneiderbauer S

Dust cloud evolution and flame propagation of organic dust deflagration under low wall influence

Journal of Loss Prevention in the Process Industries

2023/7/1

A comprehensive comparison of Two-Fluid Model, Discrete Element Method and experiments for the simulation of single-and multiple-spout fluidized beds

Chemical Engineering Science

2023/3/5

Machine Learning Approaches to Close the Filtered Two-Fluid Model for Gas–Solid Flows: Models for Subgrid Drag Force and Solid Phase Stress

arXiv preprint arXiv:2401.00179

2023/12/30

Validation study of a Spatially-Averaged Two-Fluid Model for heat transport in gas-particle flows

International Journal of Heat and Mass Transfer

2022/12/1

Anisotropy characterization of turbulent fluidization

Physical Review Fluids

2022/9/6

The impact of interphase forces on the modulation of turbulence in multiphase flows

Acta Mechanica Sinica

2022/8

Measurement of dust flame propagation and temperature with low wall influence

2022/7/15

Toward a universal description of multiphase turbulence phenomena based on the vorticity transport equation

Physics of Fluids

2022/7/1

A dynamic multiphase turbulence model for coarse-grid simulations of fluidized gas-particle suspensions

Chemical Engineering Science

2022/1/16

Favre-filtered LES-VOF of two-phase flows with eddy viscosity-based subgrid closure models: An a-posteriori analysis

International Journal of Multiphase Flow

2021/11/1

Small-scale flow topologies, pseudo-turbulence, and impact on filtered drag models in turbulent fluidization

Physical Review Fluids

2021/7/12

A revised coarse-graining approach for simulation of highly poly-disperse granular flows

Powder Technology

2021/6/1

A fast modeling of chemical reactions in industrial‐scale olefin polymerization fluidized beds using recurrence CFD

AIChE Journal

2021/5

Disclosing recurrence properties in fluidized beds

Physical Review Fluids

2021/4/23

Sub-grid deconvolution approach for filtered two-fluid models and the application to fluidized gas-particle suspensions

2021

Application of Eulerian-Eulerian-Lagrangian hybrid model to simulate liquid-liquid drop size distribution in stirred tank reactors

Journal of Dispersion Science and Technology

2020/12/31

A CFD-DEM model for the simulation of direct reduction of iron-ore in fluidized beds

Chemical Engineering Science

2020/12/14

Computational Fluid Dynamics Simulation of Iron Ore Reduction in Industrial‐Scale Fluidized Beds

steel research international

2020/12

A dynamic spatially averaged two-fluid model for heat transport in moderately dense gas–particle flows

Physics of Fluids

2020/6/1

Verification and validation of spatially averaged models for fluidized gas‐particle suspensions

Chemical Engineering & Technology

2020/5

See List of Professors in Schneiderbauer S University(Johannes Kepler Universität Linz)

Co-Authors

academic-engine