Dataset.
High pressure grinding rolls modelling and parameters dependency
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056
UPCommons. Portal del coneixement obert de la UPC
- 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
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
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4 Documentos relacionados
4 Documentos relacionados
Recercat. Dipósit de la Recerca de Catalunya
oai:recercat.cat:2072/268081
Publicaciones de conferencias: comunicaciones, ponencias, pósters, etc (conferenceObject).
HIGH PRESSURE GRINDING ROLLS MODELLING WITH POPULATION BALANCE MODELS APPLIED TO TANTALUM ORE
Recercat. Dipósit de la Recerca de Catalunya
- Guasch Cascallo, Eduard
- Anticoi Sudzuki, Hernán Francisco
- Hamid, Sarbast
- Oliva Moncunill, Josep
- Alfonso Abella, María Pura
Peer Reviewed
HANDLE: http://hdl.handle.net/2117/97282
Recercat. Dipósit de la Recerca de Catalunya
oai:recercat.cat:2072/304561
Publicaciones de conferencias: comunicaciones, ponencias, pósters, etc (conferenceObject).
HIGH PRESSURE GRINDING ROLLS MODELLING WITH POPULATION BALANCE MODELS APPLIED TO TANTALUM ORE
ENERGY CONSUMPTION APPLIED TO HIGH PRESSURE GRINDING ROLLS MODELLING WITH POPULATION BALANCE MODELS
Recercat. Dipósit de la Recerca de Catalunya
- Anticoi Sudzuki, Hernán Francisco
- Guasch Cascallo, Eduard
- Hamid, Sarbast
- Oliva Moncunill, Josep
- Alfonso Abella, María Pura
- Escobet Canal, Teresa
Another title in MEI Conference: Energy consumption applied to high pressure grinding rolls modelling with population balance models. http://www.min-eng.com/comminution16/paps.html, High pressure grinding rolls are a good alternative for comminution. This device presents low operative cost and high energy performance. Modelling of 16 mono-size assays have been carried out using grinding rolls with controlled operative pressure and tangential velocity. Back-calculation of the different parameters of the model have been developed with MATLAB software. The fitting of the simulated curve is in a good agreement with the experimental data in a wide range of tests. The present model describes correctly the physical behaviour of the particles within the high pressure grinding roll. The error is low except for experiments with small feed particle size. This situation could be explained because for fine particle sizes the bed compression phenomenon is predominant. The particle size distribution has been monitored in the input and output for each assay. The validation experiments show that the model is consistent. The selection function describes adequately the breakage probability of the particles inside the high pressure grinding rolls. Then, the present model is a good alternative for simulating a high pressure grinding roll process., Peer Reviewed
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/113134
Publicaciones de conferencias: comunicaciones, ponencias, pósters, etc (conferenceObject). 2018
HIGH PRESSURE GRINDING ROLLS MODELLING WITH POPULATION BALANCE MODELS APPLIED TO TANTALUM ORE
ENERGY CONSUMPTION APPLIED TO HIGH PRESSURE GRINDING ROLLS MODELLING WITH POPULATION BALANCE MODELS
UPCommons. Portal del coneixement obert de la UPC
- Anticoi Sudzuki, Hernán Francisco|||0000-0003-4316-5203
- Guasch Cascallo, Eduard|||0000-0001-6929-8843
- Hamid, Sarbast
- Oliva Moncunill, Josep|||0000-0001-6214-5713
- Alfonso Abella, María Pura|||0000-0002-1515-4999
- Escobet Canal, Teresa|||0000-0001-6090-1538
Another title in MEI Conference: Energy consumption applied to high pressure grinding rolls modelling with population balance models. http://www.min-eng.com/comminution16/paps.html, High pressure grinding rolls are a good alternative for comminution. This device presents low operative cost and high energy performance. Modelling of 16 mono-size assays have been carried out using grinding rolls with controlled operative pressure and tangential velocity. Back-calculation of the different parameters of the model have been developed with MATLAB software. The fitting of the simulated curve is in a good agreement with the experimental data in a wide range of tests. The present model describes correctly the physical behaviour of the particles within the high pressure grinding roll. The error is low except for experiments with small feed particle size. This situation could be explained because for fine particle sizes the bed compression phenomenon is predominant. The particle size distribution has been monitored in the input and output for each assay. The validation experiments show that the model is consistent. The selection function describes adequately the breakage probability of the particles inside the high pressure grinding rolls. Then, the present model is a good alternative for simulating a high pressure grinding roll process., Peer Reviewed
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/97282
Publicaciones de conferencias: comunicaciones, ponencias, pósters, etc (conferenceObject). 2016
HIGH PRESSURE GRINDING ROLLS MODELLING WITH POPULATION BALANCE MODELS APPLIED TO TANTALUM ORE
UPCommons. Portal del coneixement obert de la UPC
- Guasch Cascallo, Eduard|||0000-0001-6929-8843
- Anticoi Sudzuki, Hernán Francisco|||0000-0003-4316-5203
- Hamid, Sarbast
- Oliva Moncunill, Josep|||0000-0001-6214-5713
- Alfonso Abella, María Pura|||0000-0002-1515-4999
Peer Reviewed
HANDLE: http://hdl.handle.net/2117/97282
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1 Versiones
1 Versiones
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056
Dataset. 2019
HIGH PRESSURE GRINDING ROLLS MODELLING AND PARAMETERS DEPENDENCY
UPCommons. Portal del coneixement obert de la UPC
- 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.
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