XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3 2083
FUNDING
This research is partially funded by the German Research
Foundation (DFG) via the research projects RU 2184/1‑2
within the priority program SPP 2045 “Highly specific
and multidimensional fractionation of fine particle systems
with technical relevance” and SCHM 997/45-1 within the
priority program SPP 2315 “Engineered artificial minerals
(EnAM)—A geo-metallurgical tool to recycle critical ele-
ments from waste streams”.
ACKNOWLEDGMENTS
The authors would like to thank Rocco Naumann from
the Helmholtz Institute Freiberg for Resource Technology
for carrying out Cyclosizer tests as well as for analyzing the
samples via laser diffraction and dynamic image analysis.
REFERENCES
Chiu, S. N., Stoyan, D., Kendall, W. S., and Mecke, J.
2013. Stochastic Geometry and its Applications. John
Wiley &Sons, Ltd.
Endoh, S., Ohya, H., Masuda, K., Suzuki, S., and Iwata, H.
1994. Study of the shape separation of fine particles
using fluid fields: dynamic properties of irregular
shaped particles in wet cyclones. KONA Powder and
Particle Journal, 12, 125–132.
Kashiwaya, K., Noumachi, T., Hiroyoshi, N., Ito, M.,
and Tsunekawa, M. 2012. Effect of particle shape on
hydrocyclone classification. Powder Technology, 226,
147–156.
Li, L., and Iskander, M. 2020. Evaluation of Dynamic
Image Analysis for Characterizing Granular Soils.
Geotechnical Testing Journal, 43(5), 1149–1173.
Schach, E., Buchmann, M., Tolosana-Delgado, R.,
Leißner, T., Kern, M., Gerald van den Boogaart, K.,
Rudolph, M., and 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.
Schubert, H. 1989. Aufbereitung fester mineralischer
Rohstoffe, Band I (4 ed.). Deutscher Verlag für
Grundstoffindustrie.
Schubert, H. 2003. Handbuch der Mechanischen
Verfahrenstechnik Bd. 1. Wiley-VCH.
Schubert, H. 2010. Which demands should and can meet
a separation model for hydrocyclone classification?
International Journal of Mineral Processing, 96(1),
14–26.
Schulz, B., Sandmann, D., and Gilbricht, S. 2020. SEM-
Based Automated Mineralogy and Its Application in
Geo- and Material Sciences. Minerals, 10(11), 1004.
Trahar, W. J. 1981. A rational interpretation of the role
of particle size in flotation. International Journal of
Mineral Processing, 8(4), 289–327.
Wilhelm, T., Sygusch, J., Furat, O., Bachmann, K.,
Rudolph, M., and Schmidt, V. 2023. Parametric
Stochastic Modeling of Particle Descriptor Vectors for
Studying the Influence of Ultrafine Particle Wettability
and Morphology on Flotation-Based Separation
Behavior. Powders, 2, 353–371.
FUNDING
This research is partially funded by the German Research
Foundation (DFG) via the research projects RU 2184/1‑2
within the priority program SPP 2045 “Highly specific
and multidimensional fractionation of fine particle systems
with technical relevance” and SCHM 997/45-1 within the
priority program SPP 2315 “Engineered artificial minerals
(EnAM)—A geo-metallurgical tool to recycle critical ele-
ments from waste streams”.
ACKNOWLEDGMENTS
The authors would like to thank Rocco Naumann from
the Helmholtz Institute Freiberg for Resource Technology
for carrying out Cyclosizer tests as well as for analyzing the
samples via laser diffraction and dynamic image analysis.
REFERENCES
Chiu, S. N., Stoyan, D., Kendall, W. S., and Mecke, J.
2013. Stochastic Geometry and its Applications. John
Wiley &Sons, Ltd.
Endoh, S., Ohya, H., Masuda, K., Suzuki, S., and Iwata, H.
1994. Study of the shape separation of fine particles
using fluid fields: dynamic properties of irregular
shaped particles in wet cyclones. KONA Powder and
Particle Journal, 12, 125–132.
Kashiwaya, K., Noumachi, T., Hiroyoshi, N., Ito, M.,
and Tsunekawa, M. 2012. Effect of particle shape on
hydrocyclone classification. Powder Technology, 226,
147–156.
Li, L., and Iskander, M. 2020. Evaluation of Dynamic
Image Analysis for Characterizing Granular Soils.
Geotechnical Testing Journal, 43(5), 1149–1173.
Schach, E., Buchmann, M., Tolosana-Delgado, R.,
Leißner, T., Kern, M., Gerald van den Boogaart, K.,
Rudolph, M., and 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.
Schubert, H. 1989. Aufbereitung fester mineralischer
Rohstoffe, Band I (4 ed.). Deutscher Verlag für
Grundstoffindustrie.
Schubert, H. 2003. Handbuch der Mechanischen
Verfahrenstechnik Bd. 1. Wiley-VCH.
Schubert, H. 2010. Which demands should and can meet
a separation model for hydrocyclone classification?
International Journal of Mineral Processing, 96(1),
14–26.
Schulz, B., Sandmann, D., and Gilbricht, S. 2020. SEM-
Based Automated Mineralogy and Its Application in
Geo- and Material Sciences. Minerals, 10(11), 1004.
Trahar, W. J. 1981. A rational interpretation of the role
of particle size in flotation. International Journal of
Mineral Processing, 8(4), 289–327.
Wilhelm, T., Sygusch, J., Furat, O., Bachmann, K.,
Rudolph, M., and Schmidt, V. 2023. Parametric
Stochastic Modeling of Particle Descriptor Vectors for
Studying the Influence of Ultrafine Particle Wettability
and Morphology on Flotation-Based Separation
Behavior. Powders, 2, 353–371.