Paul Kieckhefen

Paul Kieckhefen

Computational Engineer

BASF

Biography

Paul Kieckhefen is a Computational Research Engineer in the chemical industry and was formerly a researcher at the Institute for Solids Process Engineering and Particle Technology at the Hamburg University of Technology (TUHH). His research interests include multiphase flows, simulation of coupled Eulerian-Lagrangian system and data-driven modelling.

He has experience in the simulation of fluidized bed granulators using the CFD-DEM method for scale-up, simulation of solids processing devices in the pharmaceutical industry and modelling of various other process units. If you are interested, do not hesitate to contact me.

Download my resumé.

Interests
  • Multiphase Flows, esp. Particulate Flows
  • Simulation Science and Scientific Computing
  • Data-driven Modelling
Education
  • PhD in Process Engineering, 2018-2021

    Hamburg University of Technology (TUHH)

  • MSc in Process Engineering, 2016-2018

    Hamburg University of Technology (TUHH)

  • BSc in Bioprocess Engineering, 2013-2016

    Hamburg University of Technology (TUHH)

Skills

Python & SciPy stack
C/C++/CUDA
High-Performance Computing
Multi-Phase Flow Simulation
Solids and Chemical Process Engineering
Engineering Consulting

Experience

 
 
 
 
 
Senior Specialist Digitalization
Oct 2021 – Present Ludwigshafen am Rhein, Germany
 
 
 
 
 
Hamburg University of Technology
Research Assistant
Feb 2018 – Sep 2021 Hamburg, Germany

Responsibilities include:

  • Perform coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) simulations of various apparatuses using OpenFOAM and LIGGGHTS
  • Design and develop pipelines for analyzing experimental data
  • Define projects with commercial customers from pharmaceutical, food and chemical industries
  • Acquire funding from agencies (DFG454277381, DFG438775980, TUHH i3 project, joint DFG-Fraunhofer project TwinGuide)
 
 
 
 
 
Intern, Master Thesis
Sep 2017 – Dec 2017 Ludwigshafen am Rhein, Germany

Title: Evaluation of the Recurrence CFD method for the Simulation of Industrially Relevant Fluid and Particle Dynamics

  • Implementation of Recurrence CFD, a volumetric timeseries extrapolation method for flow processes on the basis of recurrence analysis
 
 
 
 
 
Intern
Sep 2017 – Dec 2017 Ludwigshafen am Rhein, Germany
  • Simulation of spouted beds with the CFD-DEM method and validation against lab experiments
  • Simulation of pilot-scale cascaded spouted beds and design of internal and operating conditions