Resultados totales (Incluyendo duplicados): 3
Encontrada(s) 1 página(s)
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056
Dataset. 2019

HIGH PRESSURE GRINDING ROLLS MODELLING AND PARAMETERS DEPENDENCY

  • Anticoi Sudzuki, Hernán Francisco|||0000-0003-4316-5203
The data base is related to the High Pressure Grinding Rolls (HPGR) modelling. This data was generated in a HPGR manufacturer pilot plant in Freiberg, Germany, and represents the particle size distribution measurement of the feed and the product of the milling reactor, and the calculation of some material features, as the moisture or the density. This data is necessary for the correct modelization of the comminution in a HPGR, and it can be used for different mathematical models., A model for High Pressure Grinding Rolls (HPGR) was developed in this work based on the widely used Population Balance Model (PBM). This approach uses a variety of different functions one of which is the breakage distribution function. The methodology to determine the function parameters is presented and using these values, the model was compared with real processed materials from an HPGR pilot plant, with tungsten ore as the test material. The results of the model parameter determination, and the product of the comminution in the HPGR, showed the dependency of material breakage on the material characteristics, and on the operative and process conditions. The model presented is reasonably robust, showing less error than the 3.0 Root Mean Square Error when compared with a heterogeneous feed particle size distribution material. The operational gap was also studied, and its dependency on the feed particle size, porosity, moisture, and specific pressing force was proven.

DOI: http://hdl.handle.net/2117/169056, https://dx.doi.org/10.5821/data-2117-169056-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056
HANDLE: http://hdl.handle.net/2117/169056, https://dx.doi.org/10.5821/data-2117-169056-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056
PMID: http://hdl.handle.net/2117/169056, https://dx.doi.org/10.5821/data-2117-169056-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056
Ver en: http://hdl.handle.net/2117/169056, https://dx.doi.org/10.5821/data-2117-169056-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168964
Dataset. 2019

HIGH PRESSURE ROLL CRUSHER MODELLING

  • Anticoi Sudzuki, Hernán Francisco|||0000-0003-4316-5203
Using a previous mechanical characterization of two types of material, several lab-test work have been done. The data shows the particle size distribution of these tests, all the inputs and the model simulation presented in the related paper to this data base. The new mathematical approach use the operative conditions and the feed particle size distribution to obtain a product, which is compared with the lab-test results, An improved approach is presented to model the product particle size distribution resulting from grinding in high-pressure roll crusher with the aim to be used in standard high-pressure grinding rolls (HPGR). This approach uses different breakage distribution function parameter values for a single particle compression condition and a bed compression condition. Two materials were used for the experiments; altered Ta-bearing granite and a calc-silicate tungsten ore. A set of experiments was performed with constant operative conditions, while varying a selected condition to study the influence of the equipment set-up on the model. The material was comminuted using a previously determined specific pressing force, varying the feed particle size, roll speed and the static gap. A fourth group of experiments were performed varying the specific pressing force. Experimental results show the high performance of the comminution in a high-pressure environment. The static gap was the key in order to control the product particle size. A mathematical approach to predict the product particle size distribution is presented and it showed a good fit when compared to experimental data. This is the case when a narrow particle size fraction feed is used, but the fit became remarkably good with a multi-size feed distribution. However, when varying the specific pressing force in the case of the calc-silicate material, the results were not completely accurate. The hypothesis of simultaneous single particle compression and bed compression for different size ranges and with different parameters of the distribution function was probed and reinforced by various simulations that exchanged bed compression parameters over the single particle compression distribution function, and vice versa.

DOI: http://hdl.handle.net/2117/168964, https://dx.doi.org/10.5821/data-2117-168964-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168964
HANDLE: http://hdl.handle.net/2117/168964, https://dx.doi.org/10.5821/data-2117-168964-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168964
PMID: http://hdl.handle.net/2117/168964, https://dx.doi.org/10.5821/data-2117-168964-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168964
Ver en: http://hdl.handle.net/2117/168964, https://dx.doi.org/10.5821/data-2117-168964-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168964

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168957
Dataset. 2019

BREAKAGE FUNCTION DETERMINATION FOR HPGR

  • Anticoi Sudzuki, Hernán Francisco|||0000-0003-4316-5203
De data base shows the results of a new methodology to determine the breakage distribution function parameters to be used in High pressure grinding rolls modelling. The piston die test tries to simulate a high pressure enviroment, thus the resulted particle size distribution can be normalized to describe a breakage mechanism. Furthermore, one example of how to obtain the breakage function parameters is presented., The modelling of high pressure grinding rolls is described by the population balance model, a mass balance which includes several functions that are related to the mineral characteristics, material kinetics and operative conditions of the device. The breakage distribution function is one of these functions and refers to the way in which the daughter particles are generated by the process of comminution. The piston-die press is presented as a methodology to determine the breakage distribution function of two different materials, from the mechanical response point of view: altered granite and a cal-silicate material. The aim is to determine the relation between the operative conditions and the mineral characteristics in order to explain and predict the breakage function parameters. The materials were characterised using XRD and single compression strength tests. The altered granite is a brittle material, which generates more fines under single compression conditions compared to bed compression conditions, mainly due to the mineral composition and the response of the material to the breakage action. The cal-silicate material shows a normal trend in its breakage behaviour. As is expected, the mineralogical characterisation is a useful tool to predict the values of the parameters of the breakage distribution function.

DOI: http://hdl.handle.net/2117/168957, https://dx.doi.org/10.5821/data-2117-168957-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168957
HANDLE: http://hdl.handle.net/2117/168957, https://dx.doi.org/10.5821/data-2117-168957-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168957
PMID: http://hdl.handle.net/2117/168957, https://dx.doi.org/10.5821/data-2117-168957-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168957
Ver en: http://hdl.handle.net/2117/168957, https://dx.doi.org/10.5821/data-2117-168957-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168957

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