LSTM

Institute of Fluid Mechanics (LSTM)

Friedrich-Alexander-Universität Erlangen-Nürnberg

Welcome to the website of the Institute of Fluid Mechanics (LSTM) at Friedrich-Alexander University Erlangen-Nürnberg. We are a dedicated academic unit of the Department of Chemical and Bioengineering, deeply engaged in research and education on both laminar and turbulent transport of mass, momentum, and energy in natural and technical processes.

We are particularly fascinated by fluid mechanics as an integrative interdisciplinary subject, bridging natural and engineering sciences, applied mathematics, informatics, medicine, and human biology. Our research domains focus intensively on specific areas of expertise.

In the realm of education, we offer our students over 30 courses across various programs including Chemical and Bioengineering, Life Science Engineering, Chemical Engineering – Sustainable Chemical Technologies, Mechanical Engineering, Energy Technology, Advanced Materials and Processes, Computational Engineering, and Medical Engineering. Our courses span not only core concepts of fluid mechanics but also delve deeper into specialized topics, providing a comprehensive understanding of interdisciplinary applications.

Linked-in page: https://www.linkedin.com/company/lehrstuhl-für-strömungsmechanik-lstm

LSTM News	Upcoming Seminars	Upcoming Student Theses
Visualisation of a starting drone rotor New visualisation rendered from a direct numerical simulation (DNS) of a starting drone rotor, obtained using the adaptive version of Nek5000: https://www.youtube.com/watch?v=Ix7-pr6dezo See also the… New Erasmus+ contract with OsloMet (Norway) The Department CBI has now a new Erasmus+ contract with OsloMet in Norway, for both student and staff exchange. The responsible person on OsloMet’s side… LSTM welcomes Dr. Cai Tian Starting in February 2025, Dr. Cai Tian is conducting research with a Humboldt Fellowship at the Institute of Fluid Mechanics (Lehrstuhl für Strömungsmechanik LSTM) led…	Koopman meets polynomial optimization: towards a data-driven analysis of long-term chaotic dynamics Date and Time: May 22nd at 14:15, LSTM Seminar Room Speaker: Prof. Dr. Giovanni Fantuzzi, Friedrich-Alexander-Universität Erlangen-Nürnberg Topic: Koopman meets polynomial optimization: towards a data-driven… Investigation of cuttings transport in geothermal wells using computational methods Date and Time: Jun 26th at 14:15, LSTM Seminar Room Speaker: Prof. Dr. Gunther Brenner, Technical University of Clausthal Topic: Investigation of cuttings transport in… Numerical Analysis of Flows with Moving Boundaries Date and Time: Jun 5th at 14:15, LSTM Seminar Room Speaker: Prof. Dr.-Ing. Wolfgang Schröder, RWTH Aachen University Topic: Numerical Analysis of Flows with Moving…

Streamwise vorticity in a turbulent pipe flow at Reτ=1000

https://github.com/ExtremeFLOW/neko

Turbulent boundary layer

Frontal view on the gravity-driven film flow of the silicon oil over a flat incline (a) and over the bottom corrugations (b) at otherwise identical parameters. Flow is from top to bottom. Dark horizontal lines in (a) are travelling surface waves; short, bright vertical lines in the upper part of (b) are due to steady three-dimensional surface pattern (Al-Shamaa et al., 2023)

Startseite