Numerical study on particle size distribution in the process of preparing ultrafine particles by reactive precipitation

2005 ◽  
Vol 110 (1-3) ◽  
pp. 19-29 ◽  
Author(s):  
Jin Zhao ◽  
Jianwen Zhang ◽  
Ming Xu ◽  
Jianfeng Chen
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Ultrafine Particles ◽  
Numerical Study

Assessment of Lost Circulation Material Particle-Size Distribution on Fracture Sealing: A Numerical Study

2022 ◽  
pp. 1-15
Author(s):  
Lu Lee ◽  
Arash Dahi Taleghani
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Numerical Study ◽  
Fluid Loss ◽  
Material Particle ◽  
Lost Circulation ◽  
Fracture Sealing ◽  
Discrete Element Methods ◽  
Lost Circulation Materials

Summary Lost circulation materials (LCMs) are essential to combat fluid loss while drilling and may put the whole operation at risk if a proper LCM design is not used. The focus of this research is understanding the function of LCMs in sealing fractures to reduce fluid loss. One important consideration in the success of fracture sealing is the particle-size distribution (PSD) of LCMs. Various studies have suggested different guidelines for obtaining the best size distribution of LCMs for effective fracture sealing based on limited laboratory experiments or field observations. Hence, there is a need for sophisticated numerical methods to improve the LCM design by providing some predictive capabilities. In this study, computational fluid dynamics (CFD) and discrete element methods (DEM) numerical simulations are coupled to investigate the influence of PSD of granular LCMs on fracture sealing. Dimensionless variables were introduced to compare cases with different PSDs. We validated the CFD-DEM model in reproducing specific laboratory observations of fracture-sealing experiments within the model boundary parameters. Our simulations suggested that a bimodally distributed blend would be the most effective design in comparison to other PSDs tested here.

Aerosols at Salzburg Airport: Long-term measurements of ultrafine particles at two locations along the runway/Aerosole am Salzburger Flughafen: Langzeitmessungen von ultrafeinen Partikeln an zwei Messstellen neben der Rollbahn

Gefahrstoffe ◽  
2019 ◽  
Vol 79 (06) ◽  
pp. 227-234
Author(s):  
M. Vorage ◽  
P. Madl ◽  
A. Hubmer ◽  
H. Lettner
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Ultrafine Particles ◽  
Aircraft Noise ◽  
Aircraft Engines ◽  
Limited Data ◽  
Background Levels ◽  
Close Proximity

This paper unequivocally links particle emissions to specific planes engaged in landing and take-off (LTO) activity at Salzburg Airport (SZG, Austria). This is possible because particles were counted in ten second intervals over multiple months at two locations simultaneously upwind and downwind in close proximity of the runway. As background levels are relatively low and LTO activities are limited, data on aircraft noise and identity enables the allocation of sharp and short-lived spikes of particle concentrations to specific aircraft located upwind. In addition, the spike shapes may even be used to identify engine modes and deduce conjectures on LTO movements of the plane. Particle size distribution measurements confirm aircraft engines as the site of origin.

scholarly journals An experimental and numerical study of particle size distribution effects on the sintering of porous ceramics

2003 ◽  
Vol 348 (1-2) ◽  
pp. 76-83 ◽  
Author(s):  
Ken Darcovich ◽  
Floyd Toll ◽  
Pierre Hontanx ◽  
Virginie Roux ◽  
Kazunari Shinagawa
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Numerical Study ◽  
Porous Ceramics

scholarly journals Particle Size Distribution Models for Metallurgical Coke Grinding Products

Metals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1288
Author(s):  
Laura Colorado-Arango ◽  
Juan M. Menéndez-Aguado ◽  
Adriana Osorio-Correa
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Ultrafine Particles ◽  
Goodness Of Fit ◽  
Metallurgical Coke ◽  
Ball Size ◽  
Grinding Conditions ◽  
Comparison Criteria ◽  
Grinding Time

Six different particle size distribution (Gates–Gaudin–Schuhmann (GGS), Rosin–Rammler (RR), Lognormal, Normal, Gamma, and Swebrec) models were compared under different metallurgical coke grinding conditions (ball size and grinding time). Adjusted R2, Akaike information criterion (AIC), and the root mean of square error (RMSE) were employed as comparison criteria. Swebrec and RR presented superior comparison criteria with the higher goodness-of-fit and the lower AIC and RMSE, containing the minimum variance values among data. The worst model fitting was GGS, with the poorest comparison criteria and a wider results variation. The undulation Swebrec parameter was ball size and grinding time-dependent, considering greater b values (b > 3) at longer grinding times. The RR α parameter does not exhibit a defined tendency related to grinding conditions, while the k parameter presents smaller values at longer grinding times. Both models depend on metallurgical coke grinding conditions and are hence an indication of the grinding behaviour. Finally, oversize and ultrafine particles are found with ball sizes of 4.0 cm according to grinding time. The ball size of 2.54 cm shows slight changes in particle median diameter over time, while 3.0 cm ball size requires more grinding time to reduce metallurgical coke particles.

Numerical Study on the Effect of Agglomeration for the Particle Separation in a Gas Cyclone

2003 ◽  
Author(s):  
C. A. Ho ◽  
M. Sommerfeld
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Multiphase Flow ◽  
Size Distribution ◽  
Numerical Study ◽  
Process Analysis ◽  
Particle Separation ◽  
Transport Processes ◽  
Particle Collisions ◽  
Flow Processes

Numerical calculations of multiphase flow processes become of increasing importance for process analysis and optimization. For predicting the particle separation in a gas cyclone, the well known Euler/Lagrange approach is most suitable. With this method it is possible to account for the particle size distribution and transport processes such as particle-wall and inter-particle collisions.

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