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Your search keyword '"Kracht, Willy"' showing total 24 results
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24 results on '"Kracht, Willy"'

3. Chile: On the road to global sustainable mining

Author

Guzmán, Juan Ignacio, Karpunina, Alina, Araya, Constanza, Faúndez, Patricio, Bocchetto, Marcela, Camacho, Rodolfo, Desormeaux, Daniela, Galaz, Juanita, Garcés, Ingrid, Kracht, Willy, Lagos, Gustavo, Marshall, Isabel, Pérez, Víctor, Silva, Javier, Toro, Ignacio, Vial, Alejandra, and Wood, Alejandra

Published
2023
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13. Froth Images from Flotation Laboratory Test in Magotteaux Cell.

Author

Yantén, Carlos, Kracht, Willy, Díaz, Gonzalo, Lois-Morales, Pía, and Egaña, Alvaro

Subjects
FLOTATION, FOAM, SULFIDE minerals, DATABASES, IMAGE databases
Abstract

Froth flotation is a widely used method for the concentration of sulfide minerals. The structure of the superficial froth is an indicator of the performance of froth flotation alongside with the operational conditions in which this process is carried out. The aim of this study is to explore how the different operational conditions that can be managed in a flotation plant could directly influence the observable characteristics of the superficial froth. For this purpose, a froth image database was created using a special laboratory cell, designed to emulate the conditions seen in an industrial flotation cell. The database contains 2250 images, distributed in 45 categories; each category has a specific combination of testing conditions, and the main visual characteristics are observed. It also includes a methodology used to assess the quality of each corresponding category. Dataset: doi.org/10.6084/m9.figshare.21437292 Dataset License: CC BY 4.0 [ABSTRACT FROM AUTHOR]

Published
2023
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15. Chile: On the Road to Global Sustainable Mining

Author

GUZMAN, JUAN, primary, Karpunina, Alina, additional, Faúndez, Patricio, additional, Bocchetto, Marcela, additional, Camacho, Rodolfo, additional, Desormeaux, Daniela, additional, Galaz, Juanita, additional, Garcés, Ingrid, additional, Kracht, Willy, additional, Lagos, Gustavo, additional, Marshall, Isabel, additional, Perez, Victor, additional, Silva, Javier, additional, Toro, Ignacio, additional, Vial, Alejandra, additional, Wood, Alejandra, additional, and Araya, Constanza, additional

Published
2022
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19. Using LSTM and GRU to Predict SAG Mill Energy Consumption

Author

Avalos, Sebastian, Kracht, Willy, and Ortiz, Julian M.

Abstract

In mine operations, comminution is the most demanding energy consumer. Within comminution, semi-autogenous grinding mills are by far the most intensive consumers. Classic techniques to forecast their future energy consumption relies on feeding ore characterization and some operational variables. However, two of their main assumptions are working in steady-state and without up/downstream process bottlenecks. This work explores the capability of Recurrent Neural Networks techniques to capture input time dependencies based only on operational information. Two of the most widely used recurrent networks are compared: Long-Short Term Memory and Gated Recurrent Unit. Results show high performance on small supports (30 minutes) to capture local variability and long-trends while larger time supports (8 hours) capture time-trends but have difficulties on realizing local variability. Finally, there is no clear advantage between choosing between one technique and the other since both show good results.

Published
2019

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