Dr.-Ing. Niklas Kühl
Hamburg University of Technology (TUHH)
Institute for Fluid Dynamics and Ship Theory (M8)
Am Schwarzenberg-Campus 4 (C)
D-21073 Hamburg
Room C5.003
Phone: +49 40 42878 6008
E-mail:n.kuehl(at)tuhh(dot)de
ORCID: 0000-0002-4229-1358
Bio-Sketch
Schooling in Rendsburg (Germany)
10/2011-10/2014
B.Sc. Mechanical Engineering, Hamburg University of Technology
10/2014-10/2016
M.Sc. Theoretical Mechanical Engineering, Hamburg University of Technology
10/2016-10/2021
Research Associate at Institute of Fluid Dynamics and Ship Theory, Hamburg University of Technology
10/2021-present
Postdoctoral researcher at Institute of Fluid Dynamics and Ship Theory, Hamburg University of Technology
Major Areas of Interest & Expertise
Computational Fluid Dynamics: (Continuous) Analysis of Adjoint Turbulent Two-Phase Navier-Stokes Flow, (Discrete) Development of Consistent Adjoint Numerical Approximation Schemes, Immiscible Turbulent Two-Phase Cahn-Hilliard Navier-Stokes Flow, Optimal Shape & Topology Design
Mathematical Optimization: Continuous (+ Discrete = Hybrid) Adjoint Techniques, Adjoint-Based Sensitivity Analysis, Optimization of Fluid Dynamic Systems on Industrial Level, Technical Constraints
Teaching Responsibilities
Bachelor: Fluid Mechanics (Exercise), 2017 - today
Master: Modelling, Simulation & Optimization (Exercise). 2021 - today
Student work
Adjoint-Based Shape Optimization
Research Projects
Current: -
Formerly: DFG-project DROPPS and BMWi-project DynAForm.
Affiliations
Current: Associated researcher in the research training groups GRK-2583 and SENSUS.
Formerly: Member of the Lothar Collatz School for computing in sciences
Review Activities
Journal of Fluid Mechanics (JFM), Physics of Fluid (PoF), Journal of Computational Physics (JCP), European Journal of Mechanics - B/Fluids
Publications
2022
N. Kühl and T. Rung. Discrete Adjoint Momentum-Weighted Interpolation Strategies. Journal of Computational Physics, 467:111474, 2022. doi. preprint.
N. Kühl, T.T. Nguyen, M. Palm, D. Jürgens, and T. Rung. Adjoint Node-Based Shape Optimization of Free Floating Vessels. Structural and Multidisciplinary Optimization 65, 247, 2022. doi preprint.
2021
N. Kühl. Adjoint-Based Shape Optimization Constraint by Turbulent Two-Phase Navier-Stokes Systems. PhD thesis, Hamburg University of Technology, 2021. doi.
G. Bletsos, N. Kühl, and T. Rung. Adjoint-Based Shape Optimization for the Minimization of Flow-Induced Hemolysis in Biomedical Applications. Engineering Applications of Computational Fluid Mechanics, 15(1):1095-1112, 2021. doi. preprint.
P. M. Müller, N. Kühl, M. Siebenborn, K. Deckelnick, M. Hinze, and T. Rung. A Novel p-Harmonic Descent Approach Applied to Fluid Dynamic Shape Optimization. Structural and Multidisciplinary Optimization, 2021. doi. preprint.
N. Kühl, P. M. Müller, and T. Rung. Adjoint Complement to the Universal Momentum Law of the Wall. Flow, Turbulence and Combustion, 2021. doi. preprint.
N. Kühl, J. Kröger, M. Siebenborn, M. Hinze, and T. Rung. Adjoint Complement to the Volume-of-Fluid Method for Immiscible Flows. Journal of Computational Physics, 440:110411, 2021. doi. preprint.
N. Kühl, P.M. Müller, and T. Rung. Continuous Adjoint Complement to the Blasius Equation. Physics of Fluids, 33(3):033608, 2021. doi. preprint.
N. Kühl, M. Hinze, and T. Rung. Cahn-Hilliard Navier-Stokes Simulations for Marine Free-Surface Flows. Experimental and Computational Multiphase Flow, 2021. doi. preprint.
2019
N. Kühl, P. M. Müller, A. Stück, M. Hinze, and T. Rung. Decoupling of Control and Force Objective in Adjoint-Based Fluid Dynamic Shape Optimization. AIAA journal, 57(9): 4110-4114, 2019. doi. preprint.
2018
J. Kröger, N. Kühl, and T. Rung. Adjoint Volume-of-Fluid Approaches for the Hydrodynamic Optimisation of Ships. Ship Technology Research, 65(1):47-68, January 2018. doi.