1056 XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3
current results do not allow generalizing of the number of
tests that would be required for doing so—it remains as a
topic for further study.
REFERENCES
Araya, N., Kraslawski, A., Cisternas, L.A., 2020. Towards
mine tailings valorization: Recovery of critical materi-
als from Chilean mine tailings. J. Clean. Prod. 263,
121555. doi: 10.1016/j.jclepro.2020.121555.
Blannin, R., Frenzel, M., Tolosana-Delgado, R., Gutzmer,
J., 2022. Towards a sampling protocol for the resource
assessment of critical raw materials in tailings stor-
age facilities. J. Geochem. Explor. 236, 106974. doi:
10.1016/j.gexplo.2022.106974.
Blannin, R., Frenzel, M., Tuşa, L., Birtel, S., Ivăşcanu, P.,
Baker, T., Gutzmer, J., 2021. Uncertainties in quan-
titative mineralogical studies using scanning electron
microscope-based image analysis. Miner. Eng. 167,
106836. doi: 10.1016/j.mineng.2021.106836.
Fuerstenau, M.C., Jameson, G.J., Yoon, R.-H. (Eds.),
2007. Froth flotation: a century of innovation. Society
for Mining, Metallurgy, and Exploration, Littleton,
Colorado.
Gu, Y., Schouwstra, R.P., Rule, C., 2014. The value of
automated mineralogy. Miner. Eng. 58, 100–103. doi:
10.1016/j.mineng.2014.01.020.
Hannula, J., Kern, M., Luukkanen, S., Roine, A., van
den Boogaart, K.G., Reuter, M. a., 2018. Property-
based modelling and simulation of mechanical sepa-
ration processes using dynamic binning and neural
networks. Miner. Eng. 126, 52–63. doi: 10.1016
/j.mineng.2018.06.017.
Heinig, T., Bachmann, K., Tolosana-Delgado, R., Boogaart,
G.V.D., Gutzmer, J., 2015. Monitoring gravitational
and particle shape settling effects on MLA sampling
preparation, in: IAMG Conference 2015. pp. 200–206.
Kinnunen, P.H.-M., Kaksonen, A.H., 2019. Towards circu-
lar economy in mining: Opportunities and bottlenecks
for tailings valorization. J. Clean. Prod. 228, 153–160.
doi: 10.1016/j.jclepro.2019.04.171.
Lamberg, P., Vianna, S., 2007. A technique for tracking
multiphase mineral particles in flotation circuits, in:
XXII Encontro Nacional de Tratamento de Minérios
e Metalurgia Extrativa (ENTMME) -VII Meeting
of the Southern Hemisphere on Mineral Technology
(MSHMT). pp. 195–202.
Lotter, N.O., 2011. Modern Process Mineralogy: An
integrated multi-disciplined approach to flowsheet-
ing. Miner. Eng., Special Issue :Process Mineralogy
24, 1229–1237. doi: 10.1016/j.mineng.2011
.03.004.
Pereira, L., Birtel, S., Möckel, R., Michaux, B.,
Silva, A.C., Gutzmer, J., 2019. Constraining the
Economic Potential of By-Product Recovery by
Using a Geometallurgical Approach: The Example
of Rare Earth Element Recovery at Catalão I,
Brazil. Econ. Geol. 114, 1555–1568. doi: 10.5382
/econgeo.4637.
Pereira, L., Frenzel, M., Buchmann, M., Kern, M.,
Tolosana-Delgado, R., Boogaart, K.G. van den,
Gutzmer, J., 2022. Testing the robustness of particle-
based separation models for the magnetic separation
of a complex skarn ore. Int. J. Min. Sci. Technol. doi:
10.1016/j.ijmst.2022.01.008.
Pereira, L., Frenzel, M., Khodadadzadeh, M.,
Tolosana-Delgado, R., Gutzmer, J., 2021. A self-
adaptive particle-tracking method for minerals pro-
cessing. J. Clean. Prod. 279, 123711. doi: 10.1016
/j.jclepro.2020.123711.
Schach, E., Buchmann, M., Tolosana-Delgado, R.,
Leißner, T., Kern, M., Gerald van den Boogaart, K.,
Rudolph, M., Peuker, U. a., 2019. Multidimensional
characterization of separation processes—Part 1:
Introducing kernel methods and entropy in the con-
text of mineral processing using SEM-based image
analysis. Miner. Eng. 137, 78–86. doi: 10.1016
/j.mineng.2019.03.026.
Tolosana-Delgado, R., Mueller, U., van den Boogaart,
K.G., 2019. Geostatistics for Compositional Data: An
Overview. Math. Geosci. 51, 485–526. doi: 10.1007
/s11004-018-9769-3.
van den Boogaart, K.G., Tolosana-Delgado, R., 2013.
Analyzing Compositional Data with R. Springer
Berlin Heidelberg, Berlin, Heidelberg. doi:
10.1007/978-3-642-36809-7.
current results do not allow generalizing of the number of
tests that would be required for doing so—it remains as a
topic for further study.
REFERENCES
Araya, N., Kraslawski, A., Cisternas, L.A., 2020. Towards
mine tailings valorization: Recovery of critical materi-
als from Chilean mine tailings. J. Clean. Prod. 263,
121555. doi: 10.1016/j.jclepro.2020.121555.
Blannin, R., Frenzel, M., Tolosana-Delgado, R., Gutzmer,
J., 2022. Towards a sampling protocol for the resource
assessment of critical raw materials in tailings stor-
age facilities. J. Geochem. Explor. 236, 106974. doi:
10.1016/j.gexplo.2022.106974.
Blannin, R., Frenzel, M., Tuşa, L., Birtel, S., Ivăşcanu, P.,
Baker, T., Gutzmer, J., 2021. Uncertainties in quan-
titative mineralogical studies using scanning electron
microscope-based image analysis. Miner. Eng. 167,
106836. doi: 10.1016/j.mineng.2021.106836.
Fuerstenau, M.C., Jameson, G.J., Yoon, R.-H. (Eds.),
2007. Froth flotation: a century of innovation. Society
for Mining, Metallurgy, and Exploration, Littleton,
Colorado.
Gu, Y., Schouwstra, R.P., Rule, C., 2014. The value of
automated mineralogy. Miner. Eng. 58, 100–103. doi:
10.1016/j.mineng.2014.01.020.
Hannula, J., Kern, M., Luukkanen, S., Roine, A., van
den Boogaart, K.G., Reuter, M. a., 2018. Property-
based modelling and simulation of mechanical sepa-
ration processes using dynamic binning and neural
networks. Miner. Eng. 126, 52–63. doi: 10.1016
/j.mineng.2018.06.017.
Heinig, T., Bachmann, K., Tolosana-Delgado, R., Boogaart,
G.V.D., Gutzmer, J., 2015. Monitoring gravitational
and particle shape settling effects on MLA sampling
preparation, in: IAMG Conference 2015. pp. 200–206.
Kinnunen, P.H.-M., Kaksonen, A.H., 2019. Towards circu-
lar economy in mining: Opportunities and bottlenecks
for tailings valorization. J. Clean. Prod. 228, 153–160.
doi: 10.1016/j.jclepro.2019.04.171.
Lamberg, P., Vianna, S., 2007. A technique for tracking
multiphase mineral particles in flotation circuits, in:
XXII Encontro Nacional de Tratamento de Minérios
e Metalurgia Extrativa (ENTMME) -VII Meeting
of the Southern Hemisphere on Mineral Technology
(MSHMT). pp. 195–202.
Lotter, N.O., 2011. Modern Process Mineralogy: An
integrated multi-disciplined approach to flowsheet-
ing. Miner. Eng., Special Issue :Process Mineralogy
24, 1229–1237. doi: 10.1016/j.mineng.2011
.03.004.
Pereira, L., Birtel, S., Möckel, R., Michaux, B.,
Silva, A.C., Gutzmer, J., 2019. Constraining the
Economic Potential of By-Product Recovery by
Using a Geometallurgical Approach: The Example
of Rare Earth Element Recovery at Catalão I,
Brazil. Econ. Geol. 114, 1555–1568. doi: 10.5382
/econgeo.4637.
Pereira, L., Frenzel, M., Buchmann, M., Kern, M.,
Tolosana-Delgado, R., Boogaart, K.G. van den,
Gutzmer, J., 2022. Testing the robustness of particle-
based separation models for the magnetic separation
of a complex skarn ore. Int. J. Min. Sci. Technol. doi:
10.1016/j.ijmst.2022.01.008.
Pereira, L., Frenzel, M., Khodadadzadeh, M.,
Tolosana-Delgado, R., Gutzmer, J., 2021. A self-
adaptive particle-tracking method for minerals pro-
cessing. J. Clean. Prod. 279, 123711. doi: 10.1016
/j.jclepro.2020.123711.
Schach, E., Buchmann, M., Tolosana-Delgado, R.,
Leißner, T., Kern, M., Gerald van den Boogaart, K.,
Rudolph, M., Peuker, U. a., 2019. Multidimensional
characterization of separation processes—Part 1:
Introducing kernel methods and entropy in the con-
text of mineral processing using SEM-based image
analysis. Miner. Eng. 137, 78–86. doi: 10.1016
/j.mineng.2019.03.026.
Tolosana-Delgado, R., Mueller, U., van den Boogaart,
K.G., 2019. Geostatistics for Compositional Data: An
Overview. Math. Geosci. 51, 485–526. doi: 10.1007
/s11004-018-9769-3.
van den Boogaart, K.G., Tolosana-Delgado, R., 2013.
Analyzing Compositional Data with R. Springer
Berlin Heidelberg, Berlin, Heidelberg. doi:
10.1007/978-3-642-36809-7.