The increasing use of simulation tools enables the cost-effective prediction of product behaviour, helps to better understand complex relationships and brings products to market more quickly. In many sectors (automotive engineering, mechanical engineering, energy technology), they already form the basis of modern development processes. Simulations are used in a wide range of applications, e.g. in structural mechanics (FEM), computational fluid dynamics (CFD), vibration analysis/acoustics or control engineering. Of particular significance here is the increasing prevalence of open-source computational software such as OpenFOAM or LIGGHTS in research and industry.
Project manager: Prof. Peter Renze, Prof. Ralf Voss
Project duration: 01.08.2018 - 30.04.2022
Funded by: Federal Government - BMBF
Program name: FHProfUnt 2016
Project description:
Heat transfer plays an essential role in every thermal energy process. Improving heat transfer in equipment can increase its efficiency and reduce resource consumption. However, product development in this industry traditionally relies on empirical knowledge and experiments, which results in long development cycles and makes optimization difficult.
This project aims to develop new methods for intensifying heat transfer using modern simulation methods by simultaneously considering the manufacturing process and product properties. University expertise from the fields of simulative production technology and energy technology will be combined for this purpose. An industrial partner from Ulm will be involved in order to guarantee application-oriented research.
Project manager: Prof. Walter Commerell
Project duration: 01.10.2018 - 30.04.2019
Funded by: Federal Government - BMBF
Program name: DAAD - Funding for foreign guest lecturers
Project description:
A visiting professor from the Central University of Technology, Bloemfontein, South Africa has been researching the topic of collaborative robotics in collaboration with colleagues at THU. The result was a publication and a presentation at a specialist conference on the topic of Modeling of an adapted Mixed-Model Assembly Line for a botteling machine during his time at THU. Further joint research proposals and publications are still in progress.
Akermann, Kevin; Renze, Peter:
Numerical study of turbulent heat transfer and particle deposition in enhanced pipes with helical roughness,
in: International Journal of Multiphase Flow, vol. 176, ScienceDirect, 2024, pages 104827 (13 pages).
DOI: doi.org/10.1016/j.ijmultiphaseflow.2024.104827
ISSN: 0301-9322
Jäger, Sarah; Pabst, Valerie; Renze, Peter:
Multizone Modeling for Hybrid Thermal Energy Storage,
in: Energies, 17(12), 2854, MDPI, 2024, pages 21.
DOI: doi.org/10.3390/en17122854
ISSN: 1996-1073
Kügele, Simon; Mathlouthi, Gino Omar; Renze, Peter; Dietl, Jochen; Grützner,Thomas:
Turbulent heat transfer in pipes with increased roughness through shavings of helical ribs,
in: International Journal of Heat and Mass Transfer, Vol. 210, Elsevier, Elsevier, 2023, 124159.
DOI: doi.org/10.1016/j.ijheatmasstransfer.2023.124159
ISSN: 1879-2189 (online), 0017-9310 (print)
Mathlouthi, Gino; Kügele, Simon; Elsayed, Fatmaalzahraa; Voß, Ralf; Renze, Peter; Kaufeld, Michael; Grützner, Thomas:
Wettability Prediction for 3D-Printed Surfaces Using Reverse Engineering and Computational Fluid Dynamics Simulations,
in: Industrial & Engineering Chemistry Research, Volume 62, Issue 3, American Chemical Society for applied Chemistry and Chemical Engineering, ACS Publications, 2023, Pages 1627-1635.
DOI: 10.1021/acs.iecr.2c03805
ISSN: 1520-5045
Akermann, Kevin; Renze, Peter; Schröder, Wolfgang:
Large-eddy simulation for solid particle transport and deposition in a helically rib-roughened pipe using an Euler-Lagrange approach,
in: Chemical Engineering Science, Volume 253, Elsevier, 2022, Pages 117557.
DOI: doi.org/10.1016/j.ces.2022.117557
ISSN: 0009-2509
Kügele, Simon; Mathlouthi, Gino Omar; Renze, Peter; Grützner, Thomas:
Numerical Simulation of Flow and Heat Transfer of a Discontinuous Single Started Helically Ribbed Pipe,
in: Energies, Volume 15(19), MDPI, 2022, pages 17 (Art. No.: 7096).
DOI: doi.org/10.3390/en15197096
ISSN 1996-1073
Kügele, Simon; Renze, Peter; Dietl, Jochen; Grützner, Thomas:
Investigation of heat transfer and pressure drop for a multiple-started ribbed pipe using large-eddy simulation,
in: AIChE Journal, Volume 68(11), American Institute of Chemical Engineers, 2022, pages 1-12, e17808.
DOI: doi.org/10.1002/aic.17808
ISSN: 0001-1541
Pabst, Valerie; Güttel, Robert; Renze, Peter:
Experimental and Numerical Investigation of the Melting of a Spherical Encapsulated Phase Change Material With Variable Material Data,
in: Atlantis Highlights in Engineering, volume 6, 14th International Renewable Energy Storage Conference 2020 (IRES 2020), Zheng Zheng, Zhiyu Xi, Atlantis Press, 2021, pages 8.
DOI: 10.2991/ahe.k.210202.032
ISSN: 2589-4943 / ISBN:978-94-6239-327-1
Akermann, K.; Renze, P.; Dietl, J.; Schröder, W.:
Large-Eddy Simulation of turbulent heat transfer in a multiple-started helically rib-roughened pipe,
in: International Journal of Heat and Mass Transfer, Vol. 154, 2020, Elsevier (ed.), Elsevier, 2020, pages 13.
DOI: 10.1016/j.ijheatmasstransfer.2020.119667
ISSN: 1879-2189
Renze, Peter; Akermann, Kevin:
Simulation of Conjugate Heat Transfer in Thermal Processes with Open Source CFD, in: ChemEngineering, 3 (2), 2019, MDPI, 2019, pages 19.
DOI: 10.3390/chemengineering3020059, ISSN: 2305-7084
Schlüter, Stephan; Kresoja, Milena:
Two preprocessing algorithms for climate time series,
in: Journal of Applied Statistics, Taylor & Francis (ed.), 2019, pages 21.
DOI: 10.1080/02664763.2019.1701637
Renze, P.; Simulation von Strömung und Wärmeübergang in der Energietechnik mit OpenFOAM; ASIM/GI Fachgruppentreffen, March 9-10, 2017; Ulm.
Hecht, K., Krause, U., Hofinger, J., Bey, O., Nilles, M., Renze, P. ; Numerical investigation of the influence of swarm and coalescence effects on bubble flows by CFD and population balance models, ProcessNet Fachgruppentreffen Mehrphasenströmungen 2017, Dresden.
Prediction of Gas Density Effects on Bubbly Flow Hydrodynamics: New Insights through an Approach combining Population Balance Models and Computational Fluid Dynamics, K.J. Hecht, U. Krause, J. Hofinger, O. Bey, M. Nilles, P. Renze, to be submitted to AICHE Journal
Renze P, Buffo A, Marchisio DL, Vanni M. Simulation of Coalescence, Breakup, and Mass Transfer in Polydisperse Multiphase Flows. Chem. Ing. Tech. 2014;86(7):1088-1098.
