Flotation in academia

ESR 1

Wu, H., Renno, A. D., Foucaud, Y., & Rudolph, M. (2021). Study of the Influence of the Crystallographic Orientation of Cassiterite Observed with Colloidal Probe Atomic Force Microscopy and its Implications for Hydrophobization by an Anionic Flotation Collector. ACS Omega, 6(6), 4212-4226. https://doi:10.1021/acsomega.0c03980.

Babel, B., & Rudolph, M. (2018). Characterizing mineral wettabilities on a microscale by colloidal probe atomic force microscopy. Minerals Engineering, 121, 212-219. doi:https://doi.org/10.1016/j.mineng.2018.02.003.

ESR 2

Yang, X., Mühlhausen, MP. & Fröhlich, J. (2021). Efficient simulation of bubble dispersion and resulting interaction. Exp. Comput. Multiph. Flow 3, 152–170, https://doi.org/10.1007/s42757-020-0082-2.

Silvio Tschisgale, Tobias Kempe, Jochen Fröhlich (2018). A general implicit direct forcing immersed boundary method for rigid particles, Computers & Fluids, Volume 170, 2018, Pages 285-298, https://doi.org/10.1016/j.compfluid.2018.04.008.

C. Santarelli, J. Roussel, J. Fröhlich (2016). Budget analysis of the turbulent kinetic energy for bubbly flow in a vertical channel, Chemical Engineering Science, Volume 141, 2016, Pages 46-62, https://doi.org/10.1016/j.ces.2015.10.013.

C. Santarelli, J. Fröhlich (2016). Direct Numerical Simulations of spherical bubbles in vertical turbulent channel flow. Influence of bubble size and bidispersity, International Journal of Multiphase Flow, Volume 81, Pages 27-45, https://doi.org/10.1016/j.ijmultiphaseflow.2016.01.004.

Tian Ma, Claudio Santarelli, Thomas Ziegenhein, Dirk Lucas, and Jochen Fröhlich (2017). Direct numerical simulation–based Reynolds-averaged closure for bubble-induced turbulence, Phys. Rev. Fluids, 2, https://doi.org/10.1103/PhysRevFluids.2.034301.

Jean-Sébastien Kroll-Rabotin, Matthieu Gisselbrecht, Bernhard Ott, Ronja May, Jochen Fröhlich, Jean-Pierre Bellot (2020). Multiscale Simulation of Non-Metallic Inclusion Aggregation in a Fully Resolved Bubble Swarm in Liquid Steel, Metals, 10, https://doi.org/10.3390/met10040517.

ESR 4

Pengyu Shi, Roland Rzehak (2018). Bubbly flow in stirred tanks: Euler-Euler/RANS modeling, Chemical Engineering Science, Volume 190, Pages 419-435, https://doi.org/10.1016/j.ces.2018.06.001.

Pengyu Shi, Roland Rzehak (2020). Solid-liquid flow in stirred tanks: Euler-Euler/RANS modeling, Chemical Engineering Science, Volume 227,115875, https://doi.org/10.1016/j.ces.2020.115875.

A.-E. Sommer, M. Nikpay, S. Heitkam, M. Rudolph, K. Eckert (2018). A novel method for measuring flotation recovery by means of 4D particle tracking velocimetry, Minerals Engineering, Volume 124, Pages 116-122, https://doi.org/10.1016/j.mineng.2018.05.006.

A.-E. Sommer, K. Ortmann, M. Van Heerden, T. Richter, T. Leadbeater, K. Cole, S. Heitkam, P.R. Brito-Parada, K. Eckert (2020). Application of Positron Emission Particle Tracking (PEPT) to measure the bubble-particle interaction in a turbulent and dense flow, Minerals Engineering, Volume 156,106410, https://doi.org/10.1016/j.mineng.2020.106410.

Roland Rzehak, Manuel Krauß, Péter Kováts, Katharina Zähringer(2017). Fluid dynamics in a bubble column: New experiments and simulations, International Journal of Multiphase Flow, Volume 89, Pages 299-312, https://doi.org/10.1016/j.ijmultiphaseflow.2016.09.024.

Roland Rzehak, Thomas Ziegenhein, Sebastian Kriebitzsch, Eckhard Krepper, Dirk Lucas (2017). Unified modeling of bubbly flows in pipes, bubble columns, and airlift columns, Chemical Engineering Science, Volume 157, Pages 147-158, https://doi.org/10.1016/j.ces.2016.04.056.

ESR 5

Schach, E., Buchmann, M., Tolosana-Delgado, R., Leißner, T., Kern, M., Gerald van den Boogaart, K., . . . Peuker, U. A. (2019). Multidimensional characterization of separation processes – Part 1: Introducing kernel methods and entropy in the context of mineral processing using SEM-based image analysis. Minerals Engineering, 137, 78-86, https://doi.org/10.1016/j.mineng.2019.03.026.

Kupka, N., Tolosana-Delgado, R., Schach, E., Bachmann, K., Heinig, T., & Rudolph, M. (2020). R as an environment for data mining of process mineralogy data: A case study of an industrial rougher flotation bank. Minerals Engineering, 146, https://doi:10.1016/j.mineng.2019.106111.