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.  doipreprint.

N. Kühl, P. M. Müller, and T. Rung. Adjoint Complement to the Universal Momentum Law of the Wall. Flow, Turbulence and Combustion, 2021.  doipreprint.

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.  doipreprint.

N. Kühl, P.M. Müller, and T. Rung. Continuous Adjoint Complement to the Blasius Equation. Physics of Fluids, 33(3):033608, 2021.  doipreprint.

N. Kühl, M. Hinze, and T. Rung. Cahn-Hilliard Navier-Stokes Simulations for Marine Free-Surface Flows. Experimental and Computational Multiphase Flow, 2021. doipreprint.

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. doipreprint.

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.