Matthias Steinhausen

"Modeling of Near-Wall Flame Dynamics in Laminar and Turbulent Combustion"

• What is the topic of your PhD thesis?

During my PhD, I developed predictive models for turbulent combustion processes near walls. In these regions, traditional models fail to accurately predict pollutant formation because chemical reaction pathways are altered. The accurate modeling of these processes is crucial to improve predictions of emissions and overall combustion efficiency in technical combustors like aero engines.

• What does the Da Vinci competition mean to you and what does winning mean to you?

Being a finalist in the 19th Da Vinci competition was already a great honor for me. To then be also chosen as one of the winners made the experience even more rewarding, reaffirming the significance of my research and the effort I invested in it.

• What motivates you in your work?

I really enjoy solving challenging problems within an international and collaborative team, as I experienced both in my research group and during my studies abroad in Norway. I am also very passionate about the interdisciplinary nature of turbulent combustion research, where I got to work at the crossroads of science, engineering, and high-performance computing. This has allowed me to not only dive into my research but also to engage with cutting-edge software and technologies.

• Where do you see yourself in five years?

In five years, I see myself working at the intersection of science and technology, applying my expertise to drive innovation and contribute to a more sustainable future. I want to be part of projects that bridge research and real-world applications, helping to develop solutions that have a lasting positive impact.

• What advice would you give to new PhD students starting in fluid mechanics?

Be passionate about your research, but remember that a PhD is more than just writing papers and conducting studies. It is also an opportunity to develop a diverse set of skills that you can greatly benefit from in the long run.

Da Vinci P​resentation available here

P​aper summary