Dataset
http://hdl.handle.net/2117/104072
2024-07-14T19:07:17ZHigh pressure grinding rolls modelling and parameters dependency
http://hdl.handle.net/2117/169056
High pressure grinding rolls modelling and parameters dependency
Anticoi Sudzuki, Hernán Francisco
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.
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.
2019-10-02T10:32:08ZAnticoi Sudzuki, Hernán FranciscoA 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.High pressure roll crusher modelling
http://hdl.handle.net/2117/168964
High pressure roll crusher modelling
Anticoi Sudzuki, Hernán Francisco
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.
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
2019-10-01T07:45:47ZAnticoi Sudzuki, Hernán FranciscoAn 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.Breakage function determination for HPGR
http://hdl.handle.net/2117/168957
Breakage function determination for HPGR
Anticoi Sudzuki, Hernán Francisco
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.
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.
2019-10-01T06:34:22ZAnticoi Sudzuki, Hernán FranciscoThe 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.Geostandards of the Valentí Masachs Geology Museum
http://hdl.handle.net/2117/103444
Geostandards of the Valentí Masachs Geology Museum
Parcerisa Duocastella, David; Fàbrega Alsina, Carles; Gurenko, Andrey; Franke, Christine
Anàlisis geoquímiques i fotos de visu i microscòpia de les mostres que integren la col·lecció de geostandards del Museu de Geologia Valentí Masachs (UPC Manresa).
Análisis geoquímicas y fotos de visu y microscopio de las muestras que integran la colección de geostandares del Museo de Geología Valentí Masachs (UPC Manresa).
Geochemical analyses and hand and microscopy pictures of the samples belonging to the geostandards collection of the Valenti Masachs Geology Museum (UPC Manresa).
Analyses géochimiques et photographies au microscope et visu des échantillons qui forment la collection de geostandards du Musée de Géologie Valentí Masachs (UPC Manresa).
2017-04-07T09:06:55ZParcerisa Duocastella, DavidFàbrega Alsina, CarlesGurenko, AndreyFranke, ChristinePredicting instrumental mass fractionation (IMF) of stable isotope SIMS analyses by response surface methodology (RSM) [Dataset]
http://hdl.handle.net/2117/102417
Predicting instrumental mass fractionation (IMF) of stable isotope SIMS analyses by response surface methodology (RSM) [Dataset]
Parcerisa Duocastella, David; Rossell Garriga, Josep Maria; Fàbrega Alsina, Carles; Gurenko, Andrey; Franke, Christine
Instrumental mass fractionation (IMF) of isotopic SIMS analyses (Cameca 1280HR, CRPG Nancy) was predicted by response surface methodology (RSM) for 18O/16O determinations of plagioclase, K-feldspar and quartz. The three predictive response surface models combined instrumental and compositional inputs. The instrumental parameters were: (i) X and Y position, (ii) LT1DefX and LT1DefY electrostatic deflectors, (iii) chamber pressure and, (iv) primary-ion beam intensity. The compositional inputs included: (i) anorthite content (An%) for the plagioclase model and, (ii) orthoclase (Or%) and barium (BaO%) contents for the K-feldspar model. The three models reached high predictive powers. The coefficients R2 and prediction-R2 were, respectively, 90.47% and 86.74% for plagioclase, 87.56% and 83.17% for K-feldspar and 94.29% and 91.59% for quartz. The results show that RSM can be confidently applied to IMF prediction in stable isotope SIMS analyses by the use of instrumental and compositional variables.
The dataset contains four files. File S1 corresponds to cathodoluminescence and BSE images of standard minerals. File S2 contains geochemical data of mineral standards ans samples obtained by SIMS and EPMA. File S3 contains the parameters used to obtain response surface models of IMF in mineral standards. File S4 is a response surface methodology tutorial.
2017-03-14T08:49:57ZParcerisa Duocastella, DavidRossell Garriga, Josep MariaFàbrega Alsina, CarlesGurenko, AndreyFranke, ChristineInstrumental mass fractionation (IMF) of isotopic SIMS analyses (Cameca 1280HR, CRPG Nancy) was predicted by response surface methodology (RSM) for 18O/16O determinations of plagioclase, K-feldspar and quartz. The three predictive response surface models combined instrumental and compositional inputs. The instrumental parameters were: (i) X and Y position, (ii) LT1DefX and LT1DefY electrostatic deflectors, (iii) chamber pressure and, (iv) primary-ion beam intensity. The compositional inputs included: (i) anorthite content (An%) for the plagioclase model and, (ii) orthoclase (Or%) and barium (BaO%) contents for the K-feldspar model. The three models reached high predictive powers. The coefficients R2 and prediction-R2 were, respectively, 90.47% and 86.74% for plagioclase, 87.56% and 83.17% for K-feldspar and 94.29% and 91.59% for quartz. The results show that RSM can be confidently applied to IMF prediction in stable isotope SIMS analyses by the use of instrumental and compositional variables.