Was macht das ITV?
Das Institut für Technische Verbrennung der Universität Stuttgart forscht mit ca. 20 wissenschaftlichen Mitarbeitern und Studenten an den Grundlagen der Modellierung und Simulation von turbulenten, reaktiven Strömungen aus den Bereichen Gasphasenverbrennung, Mehrphasenströmungen (gasförmig/flüssig und gasförmig/fest) und Nanopartikelprozesse. In der Lehre vermittelt das ITV die Grundlagen und weiterführende Inhalte der technischen Verbrennung und der Simulation von reaktiven Strömungssystemen, sowie die Grundzüge deren Programmierung.
Alle Sprechstundenzeiten siehe Team-Seite und dort jeweils die Mitarbeiter*innen.
Eine aktuelle Liste der verfügbaren Themen für Bachelor- und Masterarbeiten finden Sie HIER
Wir bieten den Studierenden die Möglichkeit, an den kommenden Präsentationen der Studien- und Masterarbeiten am ITV teilzunehmen und dafür auch einen Nachweis zu bekommen (im Formular "Seminarvorträge").
2023
Dienstag, 13. Juni - 14:00 Uhr
Mert Göksel
"Carrier-phase direct numerical simulation of solid fuel particles in a turbulent reacting mixing layer" (SRP defense)
Dienstag, 04. Juli 14:00 Uhr
Jan Gärtner
"Efficient and Scalable WENO Scheme for OpenFOAM"
mock presentation
Dienstag, 25. Juli 14:00 Uhr
Nils Hartmann
"Simulation and Analysis of the Conditions Leading to the Micro-Explosion of Droplets"
Master defense
Dienstag, 12. September 14:00 Uhr
Sergio Gutiérrez
"A side stepping mixing method for Sparse-Lagrangian MMC-LES simulations"
mock presentation
Freitag, 15. September 14:00 Uhr
Anjul Pandey
"Effective collision radii for bidisperse systems in the free molecular regime"
mock presentation
Dienstag, 19. September 14:00 Uhr
Maximilian Karsch
"The effect of rotational diffusion on nanoparticle agglomeration"
mock presentation
Freitag, 22. September 14:00 Uhr
Tien Duc Luu
"Carrier-phase DNS of micron-sized iron particles in a turbulent reacting mixing layer"
mock presentation
ORT: Pfaffenwaldring 31, Seminarraum ITV (V31.321), Dienstags 14:00 - 16:00 Uhr, bzw. Freitags 14:00 - 16:00 Uhr
Wir suchen momentan einen IT-Hiwi.
Sie finden die Stelle unter unseren Stellenausschreibungen unter:
https://www.itv.uni-stuttgart.de/institut/stellenangebote
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Aktuelle Veröffentlichungen
Fully-resolved simulations of volatile combustion and NOx formation from single coal particles in recycled flue gas environments
Authors: A. Shamooni, O.T. Stein, A. Kronenburg, A.M. Kemp, P. Debiagi, T. Li, A. Dreizler, B. Böhm, C. Hasse
The interaction of coal particles and recycled/recirculated flue gas (RFG) with elevated temperatures and low levels of oxygen occurs in various pulverised coal combustion scenarios. In this work, the effect of oxygen level and temperature on single coal particle combustion characteristics and NOx formation in N2 diluent is studied by means of fully-resolved particle simulations. [see more]
A comparative study of two-phase coupling models for a sparse-Lagrangian particle method
Authors: M. Sontheimer, A. Kronenburg, O.T. Stein
Simulations of spray combustion in statistically homogeneous turbulence with different droplet loadings are performed using a sparse-Lagrangian particle method called MMC. We compare different models for the distribution of the droplet source terms to the notional particles with corresponding CP-DNS data and solutions of a dense particle method that employs standard models for the two-phase coupling. [see more]
Modeling of Sub-Grid Conditional Mixing Statistics in Turbulent Sprays Using Machine Learning Methods
Authors: S. Yao, B. Wang, A. Kronenburg and O. T. Stein
Deep artificial neural networks (ANNs) are used for the modeling of the sub-grid scale mixing quantities such as the filtered density function (FDF) of mixture fraction and the conditional scalar dissipation rate. A deep ANN with four hidden layers is trained with carrier-phase direct numerical simulations (CP-DNS) of turbulent spray combustion. [see more]
Carrier-phase DNS of detailed NOx formation in early-stage pulverized coal combustion with fuel-bound nitrogen
Authors: A. Shamooni, P. Debiagi, B. Wang, T. D. Luu, O. T. Stein, A. Kronenburg, G. Bagheri, A. Stagni, A. Frassoldati, T. Faravelli, A. M. Kempf, X. Wen and C. Hasse
Carrier-phase direct numerical simulation of detailed NOx formation in pulverized coal flames (PCC) with fuel-bound nitrogen is conducted in a 3D temporally evolving mixing layer setup where Lagrangian particles (Colombian bituminous coal) in an air stream (upper half of the domain) mix with the products of lean volatile/ air combustion in the lower stream. [see more]
Sparse-Lagrangian PDF Modelling of Silica Synthesis from Silane Jets in Vitiated Co-flows with Varying Inflow Conditions
Authors: G. Neuber, A. Kronenburg, O. T. Stein, C. E. Garcia, B. A. O. Williams, F. Beyrau and M. J. Cleary
This paper presents a comparison of experimental and numerical results for a series of turbulent reacting jets where silica nanoparticles are formed and grow due to surface growth and agglomeration. We use large-eddy simulation coupled with a multiple mapping conditioning approach for the solution of the transport equation for the joint probability density function of scalar composition and particulate size distribution. [see more]
Mixing Time Scale Models for Multiple Mapping Conditioning with Two Reference Variables
Authors: C. Straub, A. Kronenburg, O. T. Stein, S. Galindo-Lopez and M. J. Cleary
A novel multiple mapping conditioning (MMC) approach has been developed for the modelling of turbulent premixed flames including mixture inhomogeneities due to mixture stratification or mixing with the cold surroundings. MMC requires conditioning of a mixing operator on characteristic quantities (reference variables) to ensure localness of mixing in composition space. Previous MMC used the LES-filtered reaction progress variable as reference field. [see more]
Numerical Investigation of Spray Collapse in GDI with OpenFOAM
Authors: J.W. Gärtner, Y. Feng, A. Kronenburg and O. T. Stein
During certain operating conditions in spark-ignited direct injection engines (GDI), the injected fuel will be superheated and begin to rapidly vaporize. Fast vaporization can be beneficial for fuel–oxidizer mixing and subsequent combustion, but it poses the risk of spray collapse. [see more]
Ihre Ansprechpartner
Andreas Kronenburg
Univ.-Prof. Dr.Institutsleitung
Thorsten Zirwes
Dr.-Ing.Stellvertretende Institutsleitung
Ricarda Schubert
Sekretariat