Dataset Open Access
Schach, Edgar; Padula, Flavio; Buchmann, Markus; Möckel, Robert; Ebert, Doreen; Pereira, Lucas; Kern, Marius; Leißner, Thomas; Pashkevich, Dzimitry; Sousa, Rui; Bremerstein, Irina; Breuer, Ben; Oliver, Karen; Seltmann, Reimar; Reimer, Wolfgang; Wotruba, Hermann; Filippov, Lev; Peuker, Urs; Rudolph, Martin; Broadbent, Chris; Roscher, Marco; van den Boogaart, Karl Gerald
This data set derives from a pilot plant campaign for the beneficiation of a complex tin bearing skarn ore, including different separation and classification steps. The aim of the pilot plant test work was to prove a flowsheet that had been developed based on detailed geometallurgical analysis and results from the research projects AFK (Aufbereitung feinkörniger Komplexerze, BMBF grant number 033R128) and FAME (European Union grant 641650) to produce a cassiterite concentrate for tin production, and further preconcentrates for iron, zinc, copper, indium, and arsenic. The tin mineralization is partially well localized in cassiterite, but also partially finely disseminated and thus unrecoverable as minor components in other minerals. The iron is located in magnetic and nonmagnetic iron oxides sometimes intergrown with cassiterite. Therefore, iron concentrates are recovered at larger grain sizes but need a further tin recovery step not implemented in the reported experiment. The other elements are mainly deported in sulfides, which are bulk recovered in a flotation step. A subsequent selective flotation is needed to recover them individually. This selective flotation is, however, not part of the reported experiment. The two tin concentrates recovered from the shaking table should be considered as preconcentrates, that can be enriched further e.g. through multi-stage gravity separation.
The motivation for this data set is to provide a consistent basis for the application of new particle based geometallurgical methods enabled by automated mineralogy (e.g. Buchmann et al. 2018; Schach et al. 2019; Buchmann et al. 2020; Pereira et al. 2020).
In addition, it should also allow for the comparison and evaluation of different analytical methods, which were used during the pilot plant experiments to generate a validated data set for the whole plant and to correlate different result from various methods. This is the basis for further investigations enabling the application of various analyzing methods in a synergetic way. Those synergies can help in the future to compensate drawbacks of certain methods by an adequate combination of multiple approaches.
This repository includes raw data and processed data from November 19, 2018. The following data is included:
Please find further information in the "supplementary information" file
Name | Size | |
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1-TK-F-C-1119_GXMAP.mdb
md5:5a54c2a19ce253eb340cb2a7350d8263 |
83.1 MB | Download |
10-SF-C-C-1119_GXMAP.mdb
md5:00d804ae1f324b2b5703efdecebcfa44 |
108.3 MB | Download |
11-SC-U-C-1119_GXMAP.mdb
md5:93056132b8b50f407af26395dccae985 |
200.4 MB | Download |
12-SC-O-C-1119_GXMAP.mdb
md5:2e66d6c73918bc880c2265abed36b528 |
133.9 MB | Download |
13-CY-U-C-1119_GXMAP.mdb
md5:442dd33b68ca3e670dc38debffd5b3fe |
190.9 MB | Download |
14-CY-O-C-1119_GXMAP.mdb
md5:579ea9201fd64334a82c50611485caad |
77.2 MB | Download |
15-TB-C-B-1119_GXMAP.mdb
md5:00d194d29a8044f06b8bb082672e5e41 |
76.2 MB | Download |
16-TB-M-C-1119_GXMAP.mdb
md5:a6141b7daa72508f653ffbafc15cea0e |
106.2 MB | Download |
17-TB-T-C-1119_GXMAP.mdb
md5:3c526bdc19ed0037cb13a9f86a7bd2b2 |
126.5 MB | Download |
18-M2-P-C-1119_GXMAP.mdb
md5:13336ae2552400b02868a86f518ac30e |
120.6 MB | Download |
19-TB-P-C-1119_GXMAP.mdb
md5:38e7425f2e0b46e96c4e8fa9d78a1ff1 |
76.7 MB | Download |
2-SV-U-C-1119_GXMAP.mdb
md5:9053d91b6dd02d02b2ad74f8605ab276 |
84.5 MB | Download |
22-C2-O-C-1119_GXMAP.mdb
md5:18bbc091e9b1ff7c0d08139d519cc848 |
11.6 MB | Download |
3-SV-O-C-1119_1_GXMAP.mdb
md5:98c284437f9080790f3ee0ffbdae95b4 |
425.3 MB | Download |
4-SP-C-C-1119_GXMAP.mdb
md5:2b0086614cd7e6e140962f58a74b2e0a |
335.6 MB | Download |
5-SP-T-C-1119_1_GXMAP.mdb
md5:7b9ef47fa7296416623cf16e06906339 |
455.1 MB | Download |
6-M1-P-C-1119_GXMAP.mdb
md5:55c3d24a6ab0a9f16b0ad03c4b174526 |
114.1 MB | Download |
7-MS-T-C-1119_GXMAP.mdb
md5:614936bf6069eb60e9f412fa300a8c11 |
35.5 MB | Download |
8-MS-C-C-1119_GXMAP.mdb
md5:94d664151318fc168be63b4c2726b31e |
132.6 MB | Download |
9-SF-T-C-1119_GXMAP.mdb
md5:89864ef84c07c9de9cfe6fa08fbeb06c |
172.3 MB | Download |
ALS_XRF+ICP_data.xlsx
md5:bb0c56ad4cb8eccc68b2ed56516e870b |
21.1 kB | Download |
Balance_fit.R
md5:6fe82cf1a76cc991603ed5445466e153 |
2.5 kB | Download |
Balance_tool.R
md5:6140b9fac96e198a12b4e9c262395b1a |
6.4 kB | Download |
data_description [please read!].xlsx
md5:22ebc3b7067e136228058a2f132c3722 |
9.3 kB | Download |
mass_flows.xlsx
md5:a594fa6e3c78d4130a76e34b802c9599 |
9.1 kB | Download |
MLA_data.xlsx
md5:125e44dd876a2489a1229fab95446b38 |
33.1 kB | Download |
supplementary information [please read!].pdf
md5:2ae57a6d35843c9311de5a63490af6ad |
501.1 kB | Download |
XRD_data.xlsx
md5:cc78e24883099ced17b343bbe232b3f7 |
13.8 kB | Download |
XRF_data.xlsx
md5:b73f9df8867dd0ed54e96ff1515496c6 |
17.2 kB | Download |
Buchmann, M., Schach, E., Leißner, T., Kern, M., Mütze, T., Rudolph, M., Peuker, U.A. and Tolosana-Delgado, R., Multidimensional characterization of separation processes – Part 2: Comparability of separation efficiency. Minerals Engineering, 2020, 150, 106284. doi:10.1016/j.mineng.2020.106284.
Buchmann, M., Schach, E., Tolosana-Delgado, R., Leißner, T., Astoveza, J., Kern, M., Möckel, R., Ebert, D., Rudolph, M., van den Boogaart, K. and Peuker, U., Evaluation of Magnetic Separation Efficiency on a Cassiterite-Bearing Skarn Ore by Means of Integrative SEM-Based Image and XRF–XRD Data Analysis. Minerals, 2018, 8 (9), 390. doi:10.3390/min8090390.
Kern, M., Kästner, J., Tolosana-Delgado, R., Jeske, T. and Gutzmer, J., The inherent link between ore formation and geometallurgy as documented by complex tin mineralization at the Hämmerlein deposit (Erzgebirge, Germany). Miner Deposita, 2019, 54 (5), 683–698. doi:10.1007/s00126-018-0832-2.
Kern, M., Möckel, R., Krause, J., Teichmann, J. and Gutzmer, J., Calculating the deportment of a fine-grained and compositionally complex Sn skarn with a modified approach for automated mineralogy. Minerals Engineering, 2018, 116, 213–225. doi:10.1016/j.mineng.2017.06.006.
Leistner, T., Embrechts, M., Leißner, T., Chehreh Chelgani, S., Osbahr, I., Möckel, R., Peuker, U.A. and Rudolph, M., A study of the reprocessing of fine and ultrafine cassiterite from gravity tailing residues by using various flotation techniques. Minerals Engineering, 2016, 96-97, 94–98. doi:10.1016/j.mineng.2016.06.020.
Schach, E., Buchmann, M., Leistner, T., Kern, M., Peuker, U.A. and Rudolph, M., Oil assisted column flotation of a cassiterite-bearing complex skarn ore from the ore mountains, Germany. IMPC 2018, 2018, 2317–2326.
Schach, E., Buchmann, M., Tolosana-Delgado, R., Leißner, T., Kern, M., van den Gerald Boogaart, K., Rudolph, M. and Peuker, U.A., 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, 2019, 137, 78–86. doi:10.1016/j.mineng.2019.03.026.
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