Simon Schneiderbauer
Johannes Kepler University of Linz
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Simon Schneiderbauer.
The Journal of Computational Multiphase Flows | 2014
Simon Schneiderbauer; Stefan Pirker
Due to increasing computer power the numerical simulation of fluidized and moving beds has become feasible. However, while kinetic theory based CFD (Computational Fluid Dynamics) has become a valuable design tool for modeling pilot plant scale gas-solid fluidized bed reactors, a fully resolved simulation of industrial scale reactor is still nearly unfeasible. It is, therefore, common to use sub-grid models to account for the effect of the small unresolved structures on large resolved scales when using coarse grids. It is generally agreed that the influence of these small scales on the drag force is a key parameter in the prediction of the hydrodynamics of fluidized beds. We present a sub-grid drag modification dealing with the influence of heterogeneous structures on the drag force. It is assumed that these structures appear as distinct clusters of particles within an interstitial dilute particle phase. The clusters and the dilute phase itself consist of homogeneously distributed particles enabling the ap...
IOP Conference Series: Materials Science and Engineering | 2012
Simon Schneiderbauer; Stefan Pirker; Christian Chimani; R Kretz
The flow and filling characteristics during injection of liquid aluminum during high-pressure die-casting is studied threefoldly: a) analytically, b) experimentally and c) numerically. A planar jet of liquid aluminum is formed at the ingate due to its small width (≈O(10−3) m), its high aspect ratio (≈ 100) and high inlet velocity (up to 60 m/s). On the one hand, wavy disintegration of such a jet can inevitably lead to cold runs in the final casting. On the other hand, a high degree of atomization may strongly increase the porosity of the casting part. Both processes can highly reduce the mechanical stability of the product. Analytical investigations of Ohnesorge (or equivalently Weber) and Reynolds numbers show that the process of drop formation at the liquid planar free jet is dominated by atomization assuming an orifice nozzle geometry at the ingate. From a simple experimental investigation of an equivalent free jet of water, however, it is deduced that the process of drop formation can be changed to wavy disintegration by the nozzle geometry. Numerically, high-pressure die-casting is attacked by a Volume of Fluid approach. Although the drop formation at the phase interphase can not be captured by the numerical model since the drops are an order of magnitude smaller than feasible grid spacings, the global spreading of the free jet in the casting mold is well pictured by this first numerical simulation. In addition, a new approach is presented to detect cold runs at the final casting. Finally, the studies presented lead to an increased understanding of high pressure die casting and can help to improve the quality of casting products.
International Journal of Computational Fluid Dynamics | 2010
Simon Schneiderbauer; Stefan Pirker
The open boundary conditions for the CFD simulation of the micro- and meso-scale flow and temperature distribution around the Grimming mountain, Austria, are determined by an optimisation approach from interior observations. The numerical weather prediction model ALADIN–Austria provides wind speed and wind direction at those spatially arbitrarily defined observations. Furthermore, the plausibility of the resulting flow over the Grimming mountain is checked (a) by data of a ground station at the top of the Grimming mountain showing suitable correlation with the measurements. Besides, (b) the vertical turbulence profiles at the ground station are qualitatively compared to extensive studies covering the Askervein hill. In addition, (c) the wavelength of internal gravity waves obtained from the numerical CFD model is examined by analytic approximations at the Grimming mountain and by linear mountain wave theory at a mathematically idealised hill. Finally, the grid independence of the presented CFD model is shown.
Physics of Fluids | 2018
Simon Schneiderbauer; Mahdi Saeedipour
Highly resolved two-fluid model (TFM) simulations of gas-solid flows in vertical periodic channels have been performed to study closures for the filtered drag force and the Reynolds-stress-like contribution stemming from the convective terms. An approximate deconvolution model (ADM) for the large-eddy simulation of turbulent gas-solid suspensions is detailed and subsequently used to reconstruct those unresolved contributions in an a priori manner. With such an approach, an approximation of the unfiltered solution is obtained by repeated filtering allowing the determination of the unclosed terms of the filtered equations directly. A priori filtering shows that predictions of the ADM model yield fairly good agreement with the fine grid TFM simulations for various filter sizes and different particle sizes. In particular, strong positive correlation (ρ > 0.98) is observed at intermediate filter sizes for all sub-grid terms. Additionally, our study reveals that the ADM results moderately depend on the choice o...
Metallurgical and Materials Transactions B-process Metallurgy and Materials Processing Science | 2015
Stefan Pirker; Damir Kahrimanović; Simon Schneiderbauer
The submerged entry nozzle (SEN) flow behavior is crucial for continuous casting of slab steel since it controls the mold flow pattern. In this study, we focus on the bottom zone of a bifurcated SEN where the flow deflection determines the port outflow. By applying a hybrid finite volume and lattice Boltzmann-based turbulence model, the dynamic behavior of horizontally orientated secondary vortices is investigated. In addition to the pure liquid metal flow, gas bubbles are traced in both discrete and continuous way. Simulation results indicate the existence of highly turbulent secondary vortices in the deflection zone of a bifurcated SEN, which attract gas bubbles in form of bubble threads or continuous gas volumes at their rotational axes. In addition, cyclically detaching gas volumes are formed at the upper port region at higher gas flow rates. Numerical predictions agree well with observations from physical water–air models.
European Journal of Physics | 2014
Simon Schneiderbauer; Michael Krieger
The Navier–Stokes equations are nonlinear partial differential equations describing the motion of fluids. Due to their complicated mathematical form they are not part of secondary school education. A detailed discussion of fundamental physics—the conservation of mass and Newton’s second law—may, however, increase the understanding of the behaviour of fluids. Based on these principles the Navier–Stokes equations can be derived. This article attempts to make these equations available to a wider readership, especially teachers and undergraduate students. Therefore, in this article a derivation restricted to simple differential calculus is presented. Finally, we try to give answers to the questions ‘what is a fluid?’ and ‘what do the Navier–Stokes equations mean?’.
Magnesium Technology | 2014
Mahdi Saeedipour; Simon Schneiderbauer; Stefan Pirker; Salar Bozorgi
High pressure die casting (HPDC) is one of the most important and yet little known manufacturing methods especially during liquid metal injection and filling phase. During its application different problems can arise: on the one hand, wavy disintegration of the jet might result in cold shut defect in the final product, on the other hand a high degree of atomization may strongly increase the porosity defect. A numerical simulation using volume of fluid approach (VOF), is carried out to model the global spreading of liquid metal jet. The formation of droplets, which are usually smaller than the grid spacing in computational domain, is determined by a surface energy-based criterion. An Eulerian-Lagrangian framework is introduced to track and model the droplets after formation. Since liquid metal is hardly to access, we performed experiments based on water analogy to capture the flow regime changes and drop formation. The comparison between numerical results and experiments shows a very good agreement.
Particulate Science and Technology | 2018
Daniel Queteschiner; Thomas Lichtenegger; Simon Schneiderbauer; Stefan Pirker
ABSTRACT The discrete element method (DEM) is a well-established approach to study granular flows in numerous fields of application; however, the DEM is a computationally demanding method. Thus, simulations of industrial scale systems are hardly feasible on today’s hardware. This situation is typically resolved by limiting the simulation domain or introducing a coarse-grain model. While the former approach does not provide information of the full system, the latter is especially problematic in systems, where geometric restrictions are in the range of particle size, so both are insufficient to adequately describe large-scale processes. To overcome this problem, we propose a novel technique that efficiently combines resolved and coarse-grain DEM models. The method is designed to capture the details of the granular system in spatially confined regions of interest while retaining the benefits of the coarse-grain model where a lower resolution is sufficient. To this end, our method establishes two-way coupling between resolved and coarse-grain parts by volumetric passing of boundary conditions.
Archive | 2018
M. Efe Kinaci; Thomas Lichtenegger; Simon Schneiderbauer
Abstract In order to carry out investigations of one of the most advantageous direct reduction processes, the fluidized bed reactors, computational tools need to be utilized. One such tool is the Computational Fluid Dynamics - Discrete Element Method (CFD-DEM) method. In this work, two of the most common types of models that represent the reactions between solid particles and fluids are implemented into the CFD-DEM library. Levenspiel (1999) describes these models as the Shrinking Particle Model (SPM), where the solid particle reacts with the fluid and changes its size, and the Unreacted Shrinking Core Model (USCM), where after reacting a product layer is formed around the layer that impedes the reaction rate. The SPM is used to verify communication between the CFD and DEM sides, whereas the USCM is used to represent the reduction of iron-ore. The USCM is validated with a case that considers only a single iron-ore particle that reacts with a gas mixture of CO and N2. The results are then compared with available experimental data that uses the ISO 4695 conditions at 950 °C and 50 Nl/min. We investigate possible parameters that influence the reduction process such as the particle porosity and pore diameter. Also, the reaction parameters such as the frequency factor, activation energy and the equilibrium constants are investigated by comparing the fractional reduction rates of simulations with experiments. These outcomes give us insight about the total reduction process.
Journal of Dispersion Science and Technology | 2018
Reza Farzad; Stefan Puttinger; Stefan Pirker; Simon Schneiderbauer
ABSTRACT In this paper, we investigate oil-in-water emulsions in a Taylor-Couette flow. A high-speed camera was employed to record the formation of those emulsions, and image processing was used to obtain the diameter of the droplets. No surfactants were added in order to study the pure effect of the fluid dynamical forces on the droplets. The results for three different oil-in-water emulsions show that the Sauter mean diameter considerably depends on the local shear rate and the material properties and that the droplet size distribution follows a log-normal distribution. We, therefore, propose to express the Sauter mean diameter normalized by Prandtl mixing length in terms of a correlation, which is based on the Kolmogorov turbulence theory. This correlation subsequently depends on the local shear rate and the material properties such as viscosity, density, and interfacial tension. The predictions of the correlation show fairly good agreement with the experimental measurement the Sauter mean diameter. Finally, comparing the predictions of the correlation to the data presented by Eskin et al. [Chem. Eng. Sci. 161 36–47; 2017] shows excellent agreement in the case, where the droplets are larger than the Kolmogorov length scale. GRAPHICAL ABSTRACT