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1

Benzer, H., L. Ergun, A. J. Lynch, M. Oner, A. Gunlu, I. B. Celik, and N. Aydogan. "Modelling cement grinding circuits." Minerals Engineering 14, no. 11 (November 2001): 1469–82. http://dx.doi.org/10.1016/s0892-6875(01)00160-1.

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2

Onuma, E., and M. Ito. "Separators in grinding circuits." Fuel and Energy Abstracts 37, no. 3 (May 1996): 173. http://dx.doi.org/10.1016/0140-6701(96)88385-8.

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3

Silva, André Carlos, Elenice Maria Schons Silva, and Ricardo Antonio de Rezende. "Circulating load calculation in grinding circuits." Rem: Revista Escola de Minas 67, no. 1 (March 2014): 101–6. http://dx.doi.org/10.1590/s0370-44672014000100015.

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A problem for solving mass balances in mineral processing plants is the calculation of circulating load in closed circuits. A family of possible methods for the resolution of these calculations is the iterative method, consisting of a finite loop where in each iteration the initial solution is refined in order to approach the exact solution. The present work presents a low-complexity iterative algorithm for circulating load calculation in mineral processing closed circuits, thus enabling the construction of reliable mass, metallurgical and water balances. The proposed equations on the algorithm were obtained through the analysis of many industrial systems, taking into account the process operational parameters. A validation was performed with real industrial data, in order to ensure a greater reliability of the obtained results. Two different types of closed circuits are presented, each one with different levels of complexity, to clarify the proposed algorithm. With the results, it is possible to affirm that the proposed iterative algorithm can be successfully applied to any kind of closed circuit in mineral processing. The results were satisfactory with respect to processing speed, convergence of the solution and the number of iterations required for the circulating load calculation.
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4

Liu, Yi, and Steven Spencer. "Dynamic simulation of grinding circuits." Minerals Engineering 17, no. 11-12 (November 2004): 1189–98. http://dx.doi.org/10.1016/j.mineng.2004.05.018.

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5

Neesse, Th, V. Golyk, P. Kaniut, and V. Reinsch. "Hydrocyclone control in grinding circuits." Minerals Engineering 17, no. 11-12 (November 2004): 1237–40. http://dx.doi.org/10.1016/j.mineng.2004.06.025.

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6

Kawatra, S. K., and T. C. Eisele. "Rheological effects in grinding circuits." International Journal of Mineral Processing 22, no. 1-4 (April 1988): 251–59. http://dx.doi.org/10.1016/0301-7516(88)90067-1.

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7

Delboni, Homero, Evandro Costa e Silva, Vladmir Kronemberger Alves, and Ana Carolina Chieregati. "Pre-Processing to Increase the Capacity of SAG Mill Circuits—Case Study." Minerals 12, no. 6 (June 6, 2022): 727. http://dx.doi.org/10.3390/min12060727.

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This paper describes the adopted approach for increasing the capacity of an existing industrial grinding circuit by adapting the respective configuration to process the ore from a new mine. Accordingly, due to Sossego mine exhaustion, Vale S. A. decided to use the existing industrial facilities and infrastructure for processing the Cristalino ore deposit located in Para state, within the Brazilian Amazon. Considering the higher hardness of Cristalino ore compared to Sossego ore, a reduction in capacity in the existing SAG grinding circuit was anticipated. A comprehensive grinding pilot plant campaign was conducted with a characterization program including 98 Cristalino ore samples, as described throughout this paper. Sossego grinding circuit was also surveyed for mathematical modeling and simulations to assess such an estimative further. The mathematical model calibration for setting different circuit configurations and operating conditions to enhance the circuit’s capacity was based on the combination of pilot plant results and ore characterization. Simulations indicated that a capacity increase of 12% would be achieved in the existing grinding circuit by further crushing 35% of SAG mill fresh feed. Such figures would represent yearly additions of 8.3 kt in copper and 250 kg in gold productions.
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8

Farzanegan, A., and A. Ebtedaei Ghalaei. "Simulation-Assisted Evaluation of Grinding Circuit Flowsheet Design Alternatives: Aghdarreh Gold Ore Processing Plant / Ocena Alternatywnych Schematów Technologicznych Procesu Rozdrabniania W Zakładach Przeróbki Rud Złota W Aghdarreh, Z Wykorzystaniem Metod Symulacji." Archives of Mining Sciences 60, no. 1 (March 1, 2015): 123–41. http://dx.doi.org/10.1515/amsc-2015-0009.

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Abstract The run of mine ore from Aghdarreh gold mine must be comminuted to achieve the desired degree of liberation of gold particles. Currently, comminution circuits include a single-stage crushing using a jaw crusher and a single-stage grinding using a Semi-Autogenous Grinding (SAG) mill in closed circuit with a hydrocyclone package. The gold extraction is done by leaching process using cyanidation method through a series of stirred tanks. In this research, an optimization study of Aghdarreh plant grinding circuit performance was done to lower the product particle size (P80) from 70 μm to approximately 40 μm by maintaining current throughput using modeling and simulation approach. After two sampling campaigns from grinding circuit, particle size distribution data were balanced using NorBal software. The first and second data sets obtained from the two sampling campaigns were used to calibrate necessary models and validate them prior to performing simulation trials using MODSIM software. Computer simulations were performed to assess performance of two proposed new circuit flowsheets. The first proposed flowsheet consists of existing SAG mill circuit and a new proposed ball mill in closed circuit with a new second hydrocyclone package. The second proposed flowsheet consists of existing SAG mill circuit followed by a new proposed ball mill in closed circuit with the existing hydrocyclone package. In all simulations, SAGT, CYCL and MILL models were selected to simulate SAG mill, Hydrocyclone packages and ball mill units. SAGT and MILL models both are based on population balance model of grinding process. CYCL model is based on Plitt’s empirical model of classification process in hydrocyclone units. It was shown that P80 can be reduced to about 40 μm and 42 μm for the first and second proposed circuits, respectively. Based on capital and operational costs, it can be concluded that the second proposed circuit is a more suitable option for plant grinding flowsheet modification.
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9

Ergin, H., and Ö. Acaroğlu. "Optimisation of Industrial Cement Grinding Circuits." Key Engineering Materials 264-268 (May 2004): 2173–78. http://dx.doi.org/10.4028/www.scientific.net/kem.264-268.2173.

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10

Borell, Michael, Per-Olof Bäckström, and Lars Söderberg. "Supervisory control of autogenous grinding circuits." International Journal of Mineral Processing 44-45 (March 1996): 337–48. http://dx.doi.org/10.1016/0301-7516(95)00044-5.

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11

Mazzinghy, Douglas Batista, José Guilherme de Abreu Valadares, Roberto Galéry, Luiz Cláudio Monteiro Montenegro, and Antônio Eduardo Clark Peres. "Simulation of a ball mill operating with a low ball charge level and a balanced ball size distribution." Rem: Revista Escola de Minas 66, no. 4 (December 2013): 473–77. http://dx.doi.org/10.1590/s0370-44672013000400011.

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The optimization of industrial grinding circuits has been successfully performed using mathematical models that describe the industrial scale data from breakage parameters determined in laboratory grinding tests. The test material studied here is a gold ore ground in a closed ball mill circuit with hydrocyclone classification. Several sampling campaigns were carried out aiming to produce mass balances and provide material for laboratory tests. The parameters determined in the laboratory tests were used to predict, by simulation, the circuit behavior with a low ball charge level and a balanced ball size distribution.
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12

Toprak, N. Alper, Okay Altun, Namık Aydogan, and Hakan Benzer. "The influences and selection of grinding chemicals in cement grinding circuits." Construction and Building Materials 68 (October 2014): 199–205. http://dx.doi.org/10.1016/j.conbuildmat.2014.06.079.

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13

Carvalho, Marly Ávila de, Carlos Pereira, and Francielle Câmara Nogueira. "Evaluation of grinding circuits for iron ore." REM - International Engineering Journal 72, no. 1 (March 2019): 161–66. http://dx.doi.org/10.1590/0370-44672018720037.

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14

Niemi, A. J., R. Ylinen, and V. Räsänen. "Control of grinding circuits using phenomenological models." Powder Technology 69, no. 1 (January 1992): 47–52. http://dx.doi.org/10.1016/0032-5910(92)85006-h.

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15

Gao, R. X., and W. Thelen. "Sensor-Integrated Grinding Balls for on-Line Load Distribution Measurement in Ball Mills." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 208, no. 3 (August 1994): 183–90. http://dx.doi.org/10.1243/pime_proc_1994_208_077_02.

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For the on-line measurement of stress and energy distributions inside ball mills, two types of self-contained, autonomous grinding balls with fully integrated piezo-electric sensors and data-processing electronics are developed and fabricated. The basic model is designed for batchwise experiments on ball mills, where data registered in electronic memories are read out through cable connections to a processing circuit. The improved model contains additional data modulation circuits with a VHF microtransmitter, allowing on-line data retrieval. For the purpose of circuit miniaturization, hybrid and surface mount techniques (SMT) have been utilized. The instrumented balls are identical in size, mass and surface characteristics to the normal grinding balls, with the minimum outer diameter being 40 mm. Systematic experiments have shown that they are fully applicable in a realistic grinding environment where grinding media are presented. In addition to ball mill applications, the developed integration and measuring technique is generally suited for on-line data registration on free-moving objects or other industrial applications where accessibility of the measurand is insufficient.
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16

Olivier, Jacques, and Chris Aldrich. "Dynamic Monitoring of Grinding Circuits by Use of Global Recurrence Plots and Convolutional Neural Networks." Minerals 10, no. 11 (October 27, 2020): 958. http://dx.doi.org/10.3390/min10110958.

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Reliable control of grinding circuits is critical to more efficient operation of concentrator plants. In many cases, operators still play a key role in the supervisory control of grinding circuits but are not always able to act timely to deal with disturbances, such as changes in the mill feed. Reliable process monitoring can play a major role in assisting operators to take more timely and reliable action. These monitoring systems need to be able to deal with what could be complex nonlinear dynamic behavior of comminution circuits. To this end, a dynamic process monitoring approach is proposed based on the use of convolutional neural networks. To take advantage of the availability of pretrained neural networks, the grinding circuit variables are treated as time series which can be converted into images. Features extracted from these networks are subsequently analyzed in a multivariate process monitoring framework with an underlying principal component model. Two variants of the approach based on convolutional neural networks are compared with dynamic principal component analysis on a simulated and real-world case studies. In the first variant, the pretrained neural network is used as a feature extractor without any further training. In the second variant, features are extracted following further training of the network in a synthetic binary classification problem designed to enhance the extracted features. The second approach yielded nominally better results than what could be obtained with dynamic principal component analysis and the approach using features extracted by transfer learning.
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17

Saramak, D., S. Wasilewski, and A. Saramak. "Influence of Copper Ore Comminution in HPGR on Downstream Minerallurgical Processes." Archives of Metallurgy and Materials 62, no. 3 (September 26, 2017): 1689–94. http://dx.doi.org/10.1515/amm-2017-0258.

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AbstractCrushing processes taking place in high-pressure grinding rolls devices (HPGR) are currently one of the most efficient methods of hard ore size reduction in terms of the energy consumption. The HPGR products are characterized by a fine particle size and the micro-cracks formation in individual particles, which appears in downstream grinding processes, decreasing their energy consumption. The purpose of the paper was to analyze the effectiveness of a ball mill grinding process and flotation operations depending on the changeable conditions of run of the HPGR crushing process. The research programme carried out included crushing tests in the laboratory scale HPGR device at various settings of the operating pressure volume and selected qualitative properties of the feed material (i.e. particle size distribution). On the basis of obtained results the models, defining the grinding process effectiveness as a function of changeable conditions of HPGR process run, were determined. Based on these models the optimal grinding time in a ball mill was specified which is, in turn, the basis for optimization of operation the technological comminution circuits for a given material type. The obtained results proved that the application of HPGR devices in given copper ore comminution circuit may improve the effectiveness of downstream grinding process what leads to improvement of the entire circuit work efficiency through decreasing the process energy consumption and enhancing the product size reduction.
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18

Emura, T., L. Wang, M. Yamanaka, H. Nakamura, Y. Kato, and Y. Teshigawara. "A PC-Based Synchronous Controller for NC Gear Grinding Machines Using Multithread CBN Wheel." Journal of Mechanical Design 123, no. 4 (May 1, 1999): 590–97. http://dx.doi.org/10.1115/1.1416481.

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This paper describes a synchronous controller for high-productivity NC gear grinding machines that use a screw-shaped CBN wheel of multithread. The authors developed a high-precision controller for productive-type NC gear grinding machines in 1995. Because it was based on analog circuits, it required very complex electrical circuits. In this paper, we propose a PC-based synchronous controller to decrease production costs and add useful functions to it. The most useful one added this time is a function to increase pitch accuracy of gear ground with the multithread CBN wheel. Next useful one is a function to attain high-accuracy initial meshing between gear and CBN wheel. Because grinding-spindle and work spindle rotate at a high-speed, two-phase type PLL is applied to the controller. Grinding experiments showed that the newly developed controller has excellent performance.
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19

Rosa, Andreia Carolina, and Homero Delboni Jr. "Performance of direct and reverse Samarco grinding circuits." Rem: Revista Escola de Minas 67, no. 2 (June 2014): 197–202. http://dx.doi.org/10.1590/s0370-44672014000200011.

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This paper compares the performance associated with both direct and reverse ball mill closed circuit configurations. Survey campaigns were carried out in both Samarco Mineração industrial plants, i.e., Concentrator I and Concentrator II. The former is equipped with a reverse-configured ball mill closed grinding circuit, while the latter is equipped with ball mills under a direct closed circuit. The study consisted of laboratory jar tests, as well as comparisons between historical data obtained for both industrial plants. Comparisons based on historical data indicated that Concentrator II, configured in a direct mode, exhibited a better performance than that of Concentrator I. Such a conclusion is in contrast with the results obtained from survey campaigns, which indicated a better performance for the reverse configuration. Such a difference was determined by the performance of the classification stage, carried out in cyclones, as demonstrated by simulations conducted on the basis of previously calibrated models.
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20

Lepore, R., A. Vande Wouwer, and M. Remy. "MODELING AND PREDICTIVE CONTROL OF CEMENT GRINDING CIRCUITS." IFAC Proceedings Volumes 35, no. 1 (2002): 43–48. http://dx.doi.org/10.3182/20020721-6-es-1901.01158.

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21

Huusom, Jakob Kjøbsted, Anker Degn Jensen, Sten Bay Jørgensen, Michael Michelsen, Jørgen Knudsen, Bodil Recke, and John Bagterp Jørgensen. "MODELLING OF CEMENT GRINDING CIRCUITS FOR PREDICTIVE CONTROL." IFAC Proceedings Volumes 38, no. 1 (2005): 350–55. http://dx.doi.org/10.3182/20050703-6-cz-1902.00059.

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22

Lepore, R., A. Vande Wouwer, and M. Remy. "Nonlinear Model Predictive Control of Cement Grinding Circuits." IFAC Proceedings Volumes 37, no. 1 (January 2004): 221–26. http://dx.doi.org/10.1016/s1474-6670(17)38735-9.

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23

Chen, Xi-song, Qi Li, and Shu-min Fei. "Supervisory expert control for ball mill grinding circuits." Expert Systems with Applications 34, no. 3 (April 2008): 1877–85. http://dx.doi.org/10.1016/j.eswa.2007.02.013.

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24

Liu, J. H., Zhi Jian Pei, and Graham R. Fisher. "Experimental Investigations of Silicon Wafer Grinding." Key Engineering Materials 329 (January 2007): 361–66. http://dx.doi.org/10.4028/www.scientific.net/kem.329.361.

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The majority of integrated circuits are built on silicon wafers. To manufacture high-quality silicon wafers, a series of processes are needed. After a wire sawing process slices silicon ingots into wafers, grinding processes can be used to flatten the sliced wafers. This paper reports three experimental investigations on wafer grinding. The first investigation was to study the effectiveness of soft-pad grinding in removing the wire-sawing induced waviness. The second was to explore the capability of grinding in achieving super flatness. The third was to study the effects of grinding parameters on wafer flatness.
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25

Chen, Shun Tong, and Chih Hsien Chang. "Study on Thinning of a Boron-Doped Polycrystalline Diamond Wheel-Tool by Micro Rotary W-EDM Approach." Applied Mechanics and Materials 217-219 (November 2012): 2167–70. http://dx.doi.org/10.4028/www.scientific.net/amm.217-219.2167.

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This study presents a novel approach for using a micro rotary wire Electrical Discharge Machining (micro w-EDM) to thin the grinding-edge of a wheel-tool made from boron-doped polycrystalline composite diamond (PCD). For thinning the PCD, two discharge circuits (a Resistance-Capacitance (RC) circuit and a transistor) were used as power sources to obtain a grinding-edge of less than 10 µm in thickness and high surface quality. The wheel-blank is vertically mounted on a spindle and while rotating is thinned by micro w-EDM along a planned computer numerically controlled path. Experimental results verify that boron-doped PCD can be successfully thinned down to 5 µm in edge-thickness. The study shows it is possible to break (cut) diamonds of 10-µm grain size, leaving smooth surface-exposed diamonds at the cutting edge of the wheel tool. The dimensional and geometrical accuracy of the wheel-tool can be exactly controlled. Raman analysis reveals graphitizing of the PCD caused by local high temperature spark erosion at a peak of 1593 cm-1 in RC discharge circuit machining. The peak at 1332 cm-1 for the transistor circuit method indicates diamond sp3 structure. The surface degenerating layer produced by transistor circuit machining gives a suitably thin grinding edge with exposed diamond grains.
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26

Asamoah, Richmond K., Emmanuel Baawuah, Christopher Greet, and William Skinner. "Characterisation of Metal Debris in Grinding and Flotation Circuits." Minerals Engineering 171 (September 2021): 107074. http://dx.doi.org/10.1016/j.mineng.2021.107074.

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27

Lepore, R., A. Vande Wouwer, M. Remy, and Ph Bogaerts. "Software Sensor Design for Cement Grinding Circuits – Practical Issues." IFAC Proceedings Volumes 37, no. 15 (September 2004): 59–64. http://dx.doi.org/10.1016/s1474-6670(17)31000-5.

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28

Wołosiewicz-Głąb, Marta, Dariusz Foszcz, Daniel Saramak, Tomasz Gawenda, and Damian Krawczykowski. "Analysis of a grinding efficiency in the electromagnetic mill for variable process and feed parameters." E3S Web of Conferences 18 (2017): 01012. http://dx.doi.org/10.1051/e3sconf/20171801012.

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Article describes issues related to the assessment of raw materials grinding efficiency in an electromagnetic mill. Application of such type of mill in grinding processes can result in measurable benefits of more efficient raw material grinding by reducing time needed to produce a product of a suitable particle size compared to conventional mills. The expected effect of application of a system based on an electromagnetic mill is to achieve a lower energy consumption of grinding process for raw material processing compared to the existing equipment used for the fine grinding. A key element of correct design of comminution circuits in processing of particular feed mineral is to identify the impact of key factors affecting the efficiency of the grinding process. The most important factors determining the efficiency of the grinding process are the time, the construction parameters of the machine, the type of grinding media used in grinding process, as well as the parameters of the feed, among others the crushing resistance or particle size. The paper presents the results of kinetic study of copper ore grinding in electromagnetic mill for variable feed particle size distribution of and different sizes of grinding media.
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29

Olivier, Jacques, and Chris Aldrich. "Use of Decision Trees for the Development of Decision Support Systems for the Control of Grinding Circuits." Minerals 11, no. 6 (May 31, 2021): 595. http://dx.doi.org/10.3390/min11060595.

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Grinding circuits can exhibit strong nonlinear behaviour, which may make automatic supervisory control difficult and, as a result, operators still play an important role in the control of many of these circuits. Since the experience among operators may be highly variable, control of grinding circuits may not be optimal and could benefit from automated decision support. This could be based on heuristics from process experts, but increasingly could also be derived from plant data. In this paper, the latter approach, based on the use of decision trees to develop rule-based decision support systems, is considered. The focus is on compact, easy to understand rules that are well supported by the data. The approach is demonstrated by means of an industrial case study. In the case study, the decision trees were not only able to capture operational heuristics in a compact intelligible format, but were also able to identify the most influential variables as reliably as more sophisticated models, such as random forests.
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30

Wei, Donghui, and Ian K. Craig. "Grinding Mill Circuits - A Survey of Control and Economic Concerns." IFAC Proceedings Volumes 41, no. 2 (2008): 1000–1005. http://dx.doi.org/10.3182/20080706-5-kr-1001.00171.

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31

Sheu, Dong-Yea. "Microelectrode Tools Manufacturing by Hybrid Circuits Twin-Wire Electrodischarge Grinding." Materials and Manufacturing Processes 25, no. 10 (December 3, 2010): 1142–47. http://dx.doi.org/10.1080/10426914.2010.502951.

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32

Zhou, Ping, Shaowen Lu, Meng Yuan, and Tianyou Chai. "Survey on higher-level advanced control for grinding circuits operation." Powder Technology 288 (January 2016): 324–38. http://dx.doi.org/10.1016/j.powtec.2015.11.010.

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33

Bouffard, Sylvie C. "Benefits of process control systems in mineral processing grinding circuits." Minerals Engineering 79 (August 2015): 139–42. http://dx.doi.org/10.1016/j.mineng.2015.06.006.

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34

Lepore, R., A. Vande Wouwer, M. Remy, and Ph Bogaerts. "State and Parameter Estimation in Cement Grinding Circuits - Practical Aspects." IFAC Proceedings Volumes 37, no. 9 (July 2004): 745–50. http://dx.doi.org/10.1016/s1474-6670(17)31899-2.

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35

Miriyala, Srinivas Soumitri, and Kishalay Mitra. "Deep learning based system identification of industrial integrated grinding circuits." Powder Technology 360 (January 2020): 921–36. http://dx.doi.org/10.1016/j.powtec.2019.10.065.

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36

Hodouin, Daniel, Yves Dubé, and Robert Lanthier. "Stochastic simulation of filtering and control strategies for grinding circuits." International Journal of Mineral Processing 22, no. 1-4 (April 1988): 261–74. http://dx.doi.org/10.1016/0301-7516(88)90068-3.

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37

Wei, Donghui, and Ian K. Craig. "Grinding mill circuits — A survey of control and economic concerns." International Journal of Mineral Processing 90, no. 1-4 (February 2009): 56–66. http://dx.doi.org/10.1016/j.minpro.2008.10.009.

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38

Lanthier, R., D. Hodouin, and A. Pomerleau. "Internal Model Control of Grinding Circuits: An Evaluation By Simulation." IFAC Proceedings Volumes 22, no. 11 (September 1989): 93–102. http://dx.doi.org/10.1016/s1474-6670(17)53094-3.

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39

Stange, W. "Using artificial neural networks for the control of grinding circuits." Minerals Engineering 6, no. 5 (May 1993): 479–89. http://dx.doi.org/10.1016/0892-6875(93)90176-n.

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40

le Roux, J. D., S. Skogestad, and I. K. Craig. "Plant-wide control of grinding mill circuits: Top-down analysis." IFAC-PapersOnLine 49, no. 20 (2016): 72–77. http://dx.doi.org/10.1016/j.ifacol.2016.10.099.

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41

Stanujkic, Dragisa, Sanja Stojanovic, Rodoljub Jovanovic, and Nedeljko Magdalinovic. "A FRAMEWORK FOR COMMINUTION CIRCUITS DESIGN EVALUATION USING GREY COMPROMISE PROGRAMMING." Journal of Business Economics and Management 14, Supplement_1 (December 24, 2013): S188—S212. http://dx.doi.org/10.3846/16111699.2012.720599.

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Comminution process, particularly grinding, is very important in the mineral processing industry. Some characteristics of ore particles, which occur as a product of grinding process, have a significant impact on the effects of further ore processing. At the same time, this process requires a significant amount of energy and also significantly affects the overall processing costs. Therefore, in this paper, we propose new multiple criteria decision making model based on grey compromise programming for adequate comminution circuit design selection. Although it is based on a simple procedure, we consider that the proposed model is efficient and flexible, and that it also represents the basis for forming more sophisticated models for comminution circuit design selection, as in addition, many other decision making problems in business environment, which is characterized by predictions and uncertainty.
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42

Saramak, Daniel, and Agnieszka Saramak. "Potential Benefits in Copper Sulphides Liberation through Application of HRC Device in Ore Comminution Circuits." Minerals 10, no. 9 (September 16, 2020): 817. http://dx.doi.org/10.3390/min10090817.

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The article presents results of investigations on a high-pressure comminution process carried out in the roller press device, aiming at potential improvement of effectiveness of downstream beneficiation operations. The major point of interest of the paper concerned an assessment of the useful mineral liberation in relation to the volume of operating pressing force in the press device. Obtained results of mineral liberation were compared to flotation effects and downstream grinding process in a ball mill. Environmental influence in terms of dust emission was also analysed. The feed material was crushed in the high-pressure roller crusher (HRC) device under four different values of pressing force (Fsp): 3.0, 3.5, 4.0 and 4.5 N/mm2. Each product then underwent the liberation analysis, together with determination the energy savings through calculation of Bond’s working index, flotation recoveries and grinding kinetics. Results of investigations showed that both the most favourable crushing results and mineral liberation level were achieved for the highest values of operational pressing force. Nevertheless, the observed effects were less than linear together with further increasing of Fsp in HRC device. However, the obtained results of investigation unambiguously showed that pressing force affects the obtained crushing results: comminution degrees and flotation recoveries were higher while the duration of downstream grinding operation and grinding energy consumption were lower.
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43

Maksimov, Y. V., and P. I. Yemelianov. "Key problems of manufacturing of solid hard-alloyed end tools on CNC machines." Izvestiya MGTU MAMI 6, no. 2-2 (March 20, 2012): 130–34. http://dx.doi.org/10.17816/2074-0530-68470.

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The authors pointed out the main problems of production of solid carbide end tool and dependence on software-systems (PMC) of foreign suppliers. There are presented layout circuits, design and technological capabilities of CNC tool and cutter grinding machine.
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Chen, X. S., J. Yang, S. H. Li, and Q. Li. "Disturbance observer based multi-variable control of ball mill grinding circuits." Journal of Process Control 19, no. 7 (July 2009): 1205–13. http://dx.doi.org/10.1016/j.jprocont.2009.02.004.

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Remes, A., N. Vaara, and S.-L. Jämsä-Jounela. "Analysis of Industrial Grinding Circuits Using PCA, PLS and Neural Networks." IFAC Proceedings Volumes 39, no. 22 (September 2006): 109–14. http://dx.doi.org/10.1016/s1474-6670(17)30122-2.

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Oghazi, Pejman, Bertil Pålsson, and Kent Tano. "Applying traceability to grinding circuits by using Particle Texture Analysis (PTA)." Minerals Engineering 22, no. 7-8 (June 2009): 710–18. http://dx.doi.org/10.1016/j.mineng.2009.01.017.

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Yang, Jun, Shihua Li, Xisong Chen, and Qi Li. "Disturbance rejection of ball mill grinding circuits using DOB and MPC." Powder Technology 198, no. 2 (March 2010): 219–28. http://dx.doi.org/10.1016/j.powtec.2009.11.010.

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Bouchard, Jocelyn, André Desbiens, and Éric Poulin. "Reducing the energy footprint of grinding circuits: the process control paradigm." IFAC-PapersOnLine 50, no. 1 (July 2017): 1163–68. http://dx.doi.org/10.1016/j.ifacol.2017.08.402.

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Kolacz, J. "Measurement system of the mill charge in grinding ball mill circuits." Minerals Engineering 10, no. 12 (December 1997): 1329–38. http://dx.doi.org/10.1016/s0892-6875(97)00124-6.

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Ping Zhou, Tianyou Chai, and Hong Wang. "Intelligent Optimal-Setting Control for Grinding Circuits of Mineral Processing Process." IEEE Transactions on Automation Science and Engineering 6, no. 4 (October 2009): 730–43. http://dx.doi.org/10.1109/tase.2008.2011562.

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