scholarly journals Effects of Sample Preparation on Particle Size Distributions of Different Types of Silica in Suspensions

Nanomaterials ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. 454 ◽  
Author(s):  
Rodrigo Retamal Marín ◽  
Frank Babick ◽  
Gottlieb-Georg Lindner ◽  
Martin Wiemann ◽  
Michael Stintz
2004 ◽  
Vol 50 (12) ◽  
pp. 63-70 ◽  
Author(s):  
P. Jarvis ◽  
B. Jefferson ◽  
S. Parsons

The breakage of flocs is dependent upon the strength of the bonds holding the aggregate together. The present work describes the breakage and re-growth behaviour of three different types of floc, these were: 1) coagulant precipitate flocs, 2) turbidity flocs and 3) organic matter flocs. Floc aggregates were exposed to increased levels of shear on a conventional jar tester and the sizes of the flocs were observed dynamically using a laser diffraction instrument. The organic flocs showed most resistance to breakage across the whole range of shears under investigation. The dynamic procedure provided detailed information on particle size distributions (PSD). Large and small scale degradation events could be identified from analysis of the PSD data. All of the flocs under investigation showed little re-growth potential after breakage. The precipitate and organic flocs showed slightly better re-aggregation of the small floc sizes.


1993 ◽  
Vol 28 (1) ◽  
pp. 103-108 ◽  
Author(s):  
V. Lotito ◽  
G. Mininni ◽  
L. Spinosa ◽  
F. Lore

Literature review shows that particle size distribution, water distribution and rbeological properties can play an important role in the evaluation of dewatering performance. Following a previous study on relationships between Theological parameters and filterability parameters, work has been addressed to the understanding of the influence of particle size and water distribution on specific resistance to filtration. Tests were carried out on different types of sludge (raw, digested, conditioned). Two substantially different techniques for measuring the particle size distribution were used, showing that the mechanical technique (sieving) resulted in larger particle sizes than the optical (laser diffraction). Results showed that particle size distributions play a role in describing sludge filterability.


2012 ◽  
Vol 12 (24) ◽  
pp. 11781-11793 ◽  
Author(s):  
T. Viskari ◽  
E. Asmi ◽  
A. Virkkula ◽  
P. Kolmonen ◽  
T. Petäjä ◽  
...  

Abstract. Extended Kalman Filter (EKF) is used to estimate particle size distributions from observations. The focus here is on the practical application of EKF to simultaneously merge information from different types of experimental instruments. Every 10 min, the prior state estimate is updated with size-segregating measurements from Differential Mobility Particle Sizer (DMPS) and Aerodynamic Particle Sizer (APS) as well as integrating measurements from a nephelometer. Error covariances are approximate in our EKF implementation. The observation operator assumes a constant particle density and refractive index. The state estimates are compared to particle size distributions that are a composite of DMPS and APS measurements. The impact of each instrument on the size distribution estimate is studied. Kalman Filtering of DMPS and APS yielded a temporally consistent state estimate. This state estimate is continuous over the overlapping size range of DMPS and APS. Inclusion of the integrating measurements further reduces the effect of measurement noise. Even with the present approximations, EKF is shown to be a very promising method to estimate particle size distribution with observations from different types of instruments.


2012 ◽  
Vol 12 (7) ◽  
pp. 18889-18925 ◽  
Author(s):  
T. Viskari ◽  
E. Asmi ◽  
A. Virkkula ◽  
P. Kolmonen ◽  
T. Petäjä ◽  
...  

Abstract. Extended Kalman Filter (EKF) is used to estimate particle size distributions from observations. The focus here is on the practical application of EKF to simultaneously merge information from different types of experimental instruments. Every 10 min, the prior state estimate is updated with size-segregating measurements from Differential Mobility Particle Sizer (DMPS) and Aerodynamic Particle Sizer (APS) as well as integrating measurements from a nephelometer. Error covariances are approximate in our EKF implementation. The observation operator assumes a constant particle density and refractive index. The state estimates are compared to particle size distributions that are a composite of DMPS and APS measurements. The impact of each instrument on the size distribution estimate is studied. Kalman Filtering of DMPS and APS yielded a temporally consistent state estimate. This state estimate is continuous over the overlapping size range of DMPS and APS. Inclusion of the integrating measurements further reduces the effect of measurement noise. Even with the present approximations, EKF is shown to be a very promising method to estimate particle size distribution with observations from different types of instruments.


1999 ◽  
Author(s):  
K.K. Ellis ◽  
R. Buchan ◽  
M. Hoover ◽  
J. Martyny ◽  
B. Bucher-Bartleson ◽  
...  

2010 ◽  
Vol 126 (10/11) ◽  
pp. 577-582 ◽  
Author(s):  
Katsuhiko FURUKAWA ◽  
Yuichi OHIRA ◽  
Eiji OBATA ◽  
Yutaka YOSHIDA

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