Dr.-Ing. Kaicheng Chen
Dr. -Ing. Kaicheng Chen
Beruflicher Werdegang
seit 08/2022
Lehrstuhl für thermische Verfahrenstechnik, Otto-von-Guericke Universität Magdeburg, Deutschland
Wissenschaftlicher Mitarbeiter
seit 08/2022
Rektorat, Otto-von-Guericke Universität Magdeburg, Deutschland
Programmkoordinator für Asien
04/2019 – 07/2022
Lehrstuhl für thermische Verfahrenstechnik, Otto-von-Guericke Universität Magdeburg, Deutschland
Wissenschaftlicher Mitarbeiter (PostDoc), Verbundprojekt CLUSTER WIGRATEC-ADMIX
09/2018 – 07/2022
Rektorat, Otto-von-Guericke Universität Magdeburg, Deutschland
Wissenschaftlicher Projektkoordinator
11/2013 – 3/2017
Lehrstuhl für thermische Verfahrenstechnik, Otto-von-Guericke Universität Magdeburg, Deutschland
Wissenschaftlicher Mitarbeiter, Verbundprojekt WIGRATEC+
Hochschulausbildung
11/2013 – 01/2020
Abschluss als Doktoringenieur, Otto-von-Guericke Universität Magdeburg, Deutschland
Thema der Promotion: Modeling and Validation of Particle Drying and Coating in a Continuously Operated Horizontal Fluidized Bed
10/2011- 10/2013
Abschluss als Master of Science, Otto-von-Guericke Universität Magdeburg, Deutschland
Studium: Chemical and Energy Engineering
09/2007- 07/2011
Abschluss als Bachelor of Science, East China University of Science and Technology, Shanghai, China
Studium: Chemieingenieurwesen und Technik
- Investigation of particle movement behaviors in a horizontal fluidized bed by means of different methods (e.g., Euler-Euler method, Euler-Lagrange method, empirical models, etc.)
- Mathematical modeling of particle drying and growth processes in a horizontal fluidized bed (e.g., population balance approach, coupled CFD-DEM simulations)
- Simulation of the particle mixing process in drum mixer
- Design and development of novel fluidized bed processes for plastics recycling, including a Monte-Carlo model for conventional fluidized bed reactors to estimate agglomerate formation mechanisms during pyrolysis.
- Chen, K., Bachmann, P., Bück, A., Jacob, M., and Tsotsas, E. (2017). Experimental study and modeling of particle drying in a continuously- operated horizontal fluidized bed. Particuology, 34:134–146. (https://doi.org/10.1016/j.partic.2017.02.003);
- Chen, K., Bachmann, P., Bück, A., Jacob, M., and Tsotsas, E. (2019). CFD simulation of particle residence time distribution in industrial scale horizontal fluidized bed. Powder Technology, 345:129–139. (https://doi.org/10.1016/j.powtec.2018.12.086);
- Chen, K. (2020). Modeling and validation of particle drying and coating in a continuously operated horizontal fluidized bed, Dissertation. (http://dx.doi.org/10.25673/32720);
- Bachmann, P., Chen, K., Bück, A., and Tsotsas, E. (2020). Prediction of particle size and layer thickness distributions in a continuous horizontal fluidized-bed coating process. Particuology, 50:1–12. (https://doi.org/10.1016/j.partic.2019.06.005);
- Wu, W., Chen, K., and Tsotsas, E. (2022). Prediction of particle mixing time in a rotary drum by 2D DEM simulations and cross-correlation. Advanced Powder Technology, 33(4):103512. (https://doi.org/10.1016/j.apt.2022.103512);
- Hussain, F., Chen, K., Jaskulski M., Piatkowski M., and Tsotsas, E. (2022). Experimental study of the parametric impact on size growth of maltodextrin particles in counter-current spray dryer. Powder Technology, 409:117792. (https://doi.org/10.1016/j.powtec.2022.117792);
- Akbas, S., Chen, K., Hoffmann, T., Scheffler, F., and Tsotsas, E. (2023). Investigation of Island Growth on Fluidized Particles Coated by Means of Aerosol. Processes, 11(1), 165. (https://doi.org/10.3390/pr11010165);
- Li, X., Chen, K., Wei, X., Jin, H., Wang, G., Guo, L., and Tsotsas, E. (2023). Distribution characteristics of salt crystals in a supercritical water fluidized bed reactor with CFD-PBM coupled model. Powder Technology, 420:118357, (https://doi.org/10.1016/j.powtec.2023.118357);
- Guo S., Chen, K., Tsotsas E., Shang F., Ge Z., Jin H., Chen Y., Guo L. (2023). A large-eddy simulation study of the transcritical mixing process in coaxial jet flow under supercritical condition, Journal of Supercritical Fluids, 203:106080. (https://doi.org/10.1016/j.supflu.2023.106080);
- Chen, K., Li, Z., Akbas, S., Tsotsas, E. (2024). Monte Carlo modeling of particle agglomeration during polymer pyrolysis in bubbling fluidized bed,Fuel, 367: 131487. (https://doi.org/10.1016/j.fuel.2024.131487);
- Wu, W., Chen, K., and Tsotsas, E. (2024). Prediction of particle mixing in rotary drums by a DEM data-driven PSO-SVR model, Powder Technology, 434: 119365. (https://doi.org/10.1016/j.powtec.2024.119365);
- Wu, W., Chen, K., and Tsotsas, E. (2024). Prediction of rod-like particle mixing in rotary drums by three machine learning methods based on DEM simulation data, Powder Technology, 448: 120307. (https://doi.org/10.1016/j.powtec.2024.120307);
- Wang, R., Ajalova, A., Kolan, S.R., Hoffmann, T., Chen, K., and Tsotsas, E. (2025). Representation of aggregates from their two-dimensional images for primary particles of different sizes, Powder Technology, 451: 120465. (https://doi.org/10.1016/j.powtec.2024.120465);
- Li, X., Chen, K., Qi, X., Li, L., Jin, H., and Guo, L. (2025). Optimal design of a supercritical water gasification reactor for enhanced desalination, Desalination, 600:118483, (https://doi.org/10.1016/j.desal.2024.118483);