scholarly journals Use of the Swebrec Function to Model Particle Size Distribution in an Industrial-Scale Ni-Co Ore Grinding Circuit

Metals ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 882
Author(s):  
Alfredo L. Coello-Velázquez ◽  
Víctor Quijano Arteaga ◽  
Juan M. Menéndez-Aguado ◽  
Francisco M. Pole ◽  
Luis Llorente
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Estimation Error ◽  
Simulated Data ◽  
Operating Parameters ◽  
Distribution Models ◽  
Sampling Campaign ◽  
Swebrec Function ◽  
Statistical Criteria

Mathematical models of particle size distribution (PSD) are necessary in the modelling and simulation of comminution circuits. In order to evaluate the application of the Swebrec PSD model (SWEF) in the grinding circuit at the Punta Gorda Ni-Co plant, a sampling campaign was carried out with variations in the operating parameters. Subsequently, the fitting of the data to the Gates-Gaudin-Schumann (GGS), Rosin-Rammler (RRS) and SWEF PSD functions was evaluated under statistical criteria. The fitting of the evaluated distribution models showed that these functions are characterized as being sufficiently accurate, as the estimation error does not exceed 3.0% in any of the cases. In the particular case of the Swebrec function, reproducibility for all the products is high. Furthermore, its estimation error does not exceed 2.7% in any of the cases, with a correlation coefficient of the ratio between experimental and simulated data greater than 0.99.

scholarly journals Experimental Uncertainty Analysis for the Particle Size Distribution for Better Understanding of Batch Grinding Process

Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 862
Author(s):  
José Delgado ◽  
Freddy A. Lucay ◽  
Felipe D. Sepúlveda
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Milling Process ◽  
Design Parameters ◽  
Grinding Process ◽  
Distribution Models ◽  
Statistical Parameters ◽  
Weight Percentage ◽  
Do So

Uncertainty in industrial processes is very common, but it is particularly high in the grinding process (GP), due to the set of interacting operating/design parameters. This uncertainty can be evaluated in different ways, but, without a doubt, one of the most important parameters that characterise all GPs is the particle size distribution (PSD). However, is the PSD a good way to quantify the uncertainty in the milling process? This is the question we attempt to answer in this paper. To do so, we use 10 experimental grinding repetitions, 3 grinding times, and 14 Tyler meshes (more than 400 experimental results). The most relevant results were compared for the weight percentage for each size (WPES), cumulative weight undersize (CWU), or the use of particle size distribution models (PSDM), in terms of continuous changes in statistical parameters in WPES for different grinding times. The probability distribution was found to be changeable when reporting the results of WPES/CWU/PSDM, we detected the over-/under-estimation of uncertainty when using WPES/CWU, and variations in the relationships between sizes were observed when using WPES/CWU. Finally, our conclusion was that the way in which the data are analysed is not trivial, due to the possible deviations that may occur in the uncertainty process.

Better understanding of the filtration characteristics in the flexible fibre filter module (3FM)

2007 ◽  
Vol 55 (1-2) ◽  
pp. 77-83 ◽  
Author(s):  
J.J. Lee ◽  
J.H. Im ◽  
R. BenAim ◽  
J.R. Kim ◽  
Y.J. Kim ◽  
...  
Keyword(s):  
Particle Size ◽  
Pressure Drop ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Laboratory Scale ◽  
Filtration Velocity ◽  
Operating Parameters ◽  
Particle Retention ◽  
Packing Densities

This study is about the particle retention and filtration characteristics of fibre filter. Four laboratory scale fibre filters with different heights were used in parallel at various packing densities and filtration velocities. Of all of the operating parameters studied, filtration velocity had the most influence. Contrary to general theories, pressure drop increases slightly during the filtration in spite of the continuous retention of particles. This may have occurred because of large porosity of the packing (about 93%). This might be considered an advantage of the filter and something that makes it economic. The higher the filtration velocity, the larger the mass of particles retained in the filter. For filtration velocities of 20 and 40 m/h, particles smaller than 5 μm are retained as proven by the particle size distribution at the inlet and outlet.

scholarly journals Critical Evaluation of Particle Size Distribution Models Using Soil Data Obtained with a Laser Diffraction Method

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0125048 ◽  
Author(s):  
Wang Weipeng ◽  
Liu Jianli ◽  
Zhao Bingzi ◽  
Zhang Jiabao ◽  
Li Xiaopeng ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Critical Evaluation ◽  
Diffraction Method ◽  
Laser Diffraction ◽  
Distribution Models

Particle size distribution models, their characteristics and fitting capability

2015 ◽  
Vol 529 ◽  
pp. 872-889 ◽  
Author(s):  
Hossein Bayat ◽  
Mostafa Rastgo ◽  
Moharram Mansouri Zadeh ◽  
Harry Vereecken
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Distribution Models
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