2020
1.
Goralczyk, Mateusz; Krot, Pavlo; Zimroz, Radoslaw; Ogonowski, Szymon
In: Energies, vol. 13, no. 24, 2020.
Abstract | Links | BibTeX | Tags: Comminution, Mining, OPMO, Processing
@article{Góralczyk2020,
title = {Increasing Energy Efficiency and Productivity of the Comminution Process in Tumbling Mills by Indirect Measurements of Internal Dynamics—An Overview },
author = {Mateusz Goralczyk and Pavlo Krot and Radoslaw Zimroz and Szymon Ogonowski},
url = {https://www.mdpi.com/1996-1073/13/24/6735},
doi = {https://doi.org/10.3390/en13246735},
year = {2020},
date = {2020-12-21},
journal = {Energies},
volume = {13},
number = {24},
abstract = {Tumbling mills have been widely implemented in many industrial sectors for the grinding of bulk materials. They have been used for decades in the production of fines and in the final stages of ore comminution, where optimal levels for the enrichment particles’ sizes are obtained. Even though these ubiquitous machines of relatively simple construction have been subjected to extensive studies, the industry still struggles with a very low energy efficiency of the comminution process. Moreover, obtaining an optimal size for the grinding product particles is crucial for the effectiveness of the following processes and waste production reduction. New, innovative processing methods and machines are being developed to tackle the problem; however, tumbling mills are still most commonly used in all ranges of the industry. Since heavy equipment retrofitting is the most costly approach, process optimization with dedicated models and control systems is the most preferable solution for energy consumption reduction. While the classic technological measurements in mineral processing are well adopted by the industry, nowadays research focuses on new methods of the mill’s internal dynamics analysis and control. This paper presents a retrospective overview of the existing models of internal load motion, an overview of the innovations in process control, and some recent research and industrial approaches from the energy consumption reduction point of view.},
keywords = {Comminution, Mining, OPMO, Processing},
pubstate = {published},
tppubtype = {article}
}
Tumbling mills have been widely implemented in many industrial sectors for the grinding of bulk materials. They have been used for decades in the production of fines and in the final stages of ore comminution, where optimal levels for the enrichment particles’ sizes are obtained. Even though these ubiquitous machines of relatively simple construction have been subjected to extensive studies, the industry still struggles with a very low energy efficiency of the comminution process. Moreover, obtaining an optimal size for the grinding product particles is crucial for the effectiveness of the following processes and waste production reduction. New, innovative processing methods and machines are being developed to tackle the problem; however, tumbling mills are still most commonly used in all ranges of the industry. Since heavy equipment retrofitting is the most costly approach, process optimization with dedicated models and control systems is the most preferable solution for energy consumption reduction. While the classic technological measurements in mineral processing are well adopted by the industry, nowadays research focuses on new methods of the mill’s internal dynamics analysis and control. This paper presents a retrospective overview of the existing models of internal load motion, an overview of the innovations in process control, and some recent research and industrial approaches from the energy consumption reduction point of view.
2.
Borkowski, Przemyslaw
Comminution of Copper Ores with the Use of a High-Pressure Water Jet Journal Article
In: Energies, vol. 13, no. 23, pp. 6274, 2020.
Links | BibTeX | Tags: Comminution, Mining, Water Jet
@article{Borkowski2020,
title = {Comminution of Copper Ores with the Use of a High-Pressure Water Jet},
author = {Przemyslaw Borkowski},
url = {https://doi.org/10.3390/en13236274},
doi = {10.3390/en13236274},
year = {2020},
date = {2020-01-01},
journal = {Energies},
volume = {13},
number = {23},
pages = {6274},
publisher = {MDPI AG},
keywords = {Comminution, Mining, Water Jet},
pubstate = {published},
tppubtype = {article}
}