Iterative learning based particle size distribution control in grinding process using output PDF method

2013 ◽  
Author(s):  
Xubin Sun ◽  
Jinliang Ding ◽  
Hong Wang ◽  
Tianyou Chai ◽  
Hairong Dong
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Iterative Learning ◽  
Grinding Process

A Model for Particle Size and Phase Distributions in Ground Cement Clinker

1986 ◽  
Vol 85 ◽  
Author(s):  
P. W. Brown ◽  
K. G. Galuk
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Cement Clinker ◽  
Grinding Process ◽  
Exposed Surface ◽  
Surface Areas

ABSTRACTA model has been developed to describe a granule of unground clinker, to simulate the grinding process by the removal of particles according to a user-defined particle size distribution, and to characterize the exposed surface areas and volumes of each clinker phase present. The composition of the clinker granule and the distribution of phases within the granule are also user defined.

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.

Online Continuous Particle Size Distribution Analysis for Grinding Process in a Jet Mill

2017 ◽  
Vol 54 (7) ◽  
pp. 483-486
Author(s):  
Fumiaki Sato ◽  
Hideyuki Ikeda ◽  
Michio Osumi ◽  
Yasuyuki Fujita ◽  
Isamu Minami ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Grinding Process ◽  
Distribution Analysis ◽  
Continuous Particle

scholarly journals Influence of Particle Morphology of Ground Fly Ash on the Fluidity and Strength of Cement Paste

Materials ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 283
Author(s):  
Juntao Ma ◽  
Daguang Wang ◽  
Shunbo Zhao ◽  
Ping Duan ◽  
Shangtong Yang
Keyword(s):  
Particle Size ◽  
Fly Ash ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Cement Paste ◽  
Ball Mill ◽  
Particle Morphology ◽  
Spherical Particles ◽  
Grinding Process ◽  
And Performance

The grinding process has become widely used to improve the fineness and performance of fly ash. However, most studies focus on the particle size distribution of ground fly ash, while the particle morphology is also an important factor to affect the performance of cement paste. This article aims at three different kinds of ground fly ash from the ball mill and vertical mill, and the particle morphology is observed by scanning electron microscopy (SEM) to calculate the spherical destruction (the ratio of spherical particles broken into irregular particles in the grinding process of fly ash), which provides a quantification of the morphology change in the grinding process. The fluidity of cement paste and the strength of cement mortar are tested to study the relation of spherical destruction and fluidity and strength. The results show that the spherical destruction of ground fly ash in a ball mill is more than 80% and that in a vertical mill with a separation system is only 11.9%. Spherical destruction shows a significant relation with the fluidity. To different addition of ground fly ash, the fluidity of cement paste decreases with the increase of spherical destruction. To the strength of cement paste, particle size distribution and spherical destruction are both the key factors. Therefore, spherical destruction is an important measurement index to evaluate the grinding effect of the fly ash mill.

Effects of Particle Size Distribution on Corrosion Rate of Carbon Steel in Soil

2020 ◽  
Vol 69 (4) ◽  
pp. 102-106
Author(s):  
Shota Ohki ◽  
Shingo Mineta ◽  
Mamoru Mizunuma ◽  
Soichi Oka ◽  
Masayuki Tsuda
Keyword(s):  
Particle Size ◽  
Carbon Steel ◽  
Corrosion Rate ◽  
Particle Size Distribution ◽  
Size Distribution

DENSE SPRAY CORRECTIONS FOR DIFFRACTION-BASED PARTICLE SIZE DISTRIBUTION MEASUREMENTS

1995 ◽  
Vol 5 (1) ◽  
pp. 75-87 ◽  
Author(s):  
Christine M. Woodall ◽  
James E. Peters ◽  
Richard O. Buckius
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution
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