Testing aggregates. Methods for determination of particle shape

2015 ◽  
Keyword(s):  
Particle Shape

scholarly journals The effect of the particle shape and structure on the flowability of electrolytic copper powder I: Modeling of a representative powder particle

2003 ◽  
Vol 68 (10) ◽  
pp. 771-778 ◽  
Author(s):  
Konstantin Popov ◽  
Snezana Krstic ◽  
Milutin Obradovic ◽  
Miomir Pavlovic ◽  
Ljubica Pavlovic ◽  
...  
Keyword(s):  
Powder Particle ◽  
Copper Powder ◽  
Particle Shape ◽  
Free Flow ◽  
Electrolytic Copper ◽  
Electrolytic Copper Powder ◽  
Powder Particles

One of the most important properties of copper powder is its flow ability which depends on the shape and the structure of the powder particles. A procedure for the determination of a representative powder particle permitting the free flow of copper powder is proposed.

scholarly journals The determination of hydraulic resistance during laminar filtration through layers of sorbents and ion-exchange granules in environmental mass exchange equipment

2020 ◽  
Vol 193 ◽  
pp. 02002 ◽  
Author(s):  
Nikolay Merentsov ◽  
Alexander Balashov ◽  
Alexander Golovanchikov ◽  
Mikhail Topilin
Keyword(s):  
Ion Exchange ◽  
Hydraulic Resistance ◽  
Mass Exchange ◽  
Particle Shape ◽  
Granular Layer ◽  
Porous Layers ◽  
Advantages And Disadvantages ◽  
Size Of Particles

The paper presents main calculation dependencies, their advantages and disadvantages for calculating the hydraulic resistance of granular and porous layers in the area of low filtration rates. Approaches are given to account for the influence of porosity and size of particles (sorbent granules) that differ in the values of constants and different ways to account for the influence of particle shape on the hydraulic resistance of the granular layer.

scholarly journals Determination of circumsolar radiation from Meteosat Second Generation

2014 ◽  
Vol 7 (3) ◽  
pp. 823-838 ◽  
Author(s):  
B. Reinhardt ◽  
R. Buras ◽  
L. Bugliaro ◽  
S. Wilbert ◽  
B. Mayer
Keyword(s):  
Particle Shape ◽  
Second Generation ◽  
Resource Assessment ◽  
Radiative Transfer Model ◽  
Retrieval Algorithm ◽  
Transfer Model ◽  
Absolute Deviation ◽  
External Data ◽  
Look Up Table

Abstract. Reliable data on circumsolar radiation, which is caused by scattering of sunlight by cloud or aerosol particles, is becoming more and more important for the resource assessment and design of concentrating solar technologies (CSTs). However, measuring circumsolar radiation is demanding and only very limited data sets are available. As a step to bridge this gap, a method was developed which allows for determination of circumsolar radiation from cirrus cloud properties retrieved by the geostationary satellites of the Meteosat Second Generation (MSG) family. The method takes output from the COCS algorithm to generate a cirrus mask from MSG data and then uses the retrieval algorithm APICS to obtain the optical thickness and the effective radius of the detected cirrus, which in turn are used to determine the circumsolar radiation from a pre-calculated look-up table. The look-up table was generated from extensive calculations using a specifically adjusted version of the Monte Carlo radiative transfer model MYSTIC and by developing a fast yet precise parameterization. APICS was also improved such that it determines the surface albedo, which is needed for the cloud property retrieval, in a self-consistent way instead of using external data. Furthermore, it was extended to consider new ice particle shapes to allow for an uncertainty analysis concerning this parameter. We found that the nescience of the ice particle shape leads to an uncertainty of up to 50%. A validation with 1 yr of ground-based measurements shows, however, that the frequency distribution of the circumsolar radiation can be well characterized with typical ice particle shape mixtures, which feature either smooth or severely roughened particle surfaces. However, when comparing instantaneous values, timing and amplitude errors become evident. For the circumsolar ratio (CSR) this is reflected in a mean absolute deviation (MAD) of 0.11 for both employed particle shape mixtures, and a bias of 4 and 11%, for the mixture with smooth and roughend particles, respectively. If measurements with sub-scale cumulus clouds within the relevant satellite pixels are manually excluded, the instantaneous agreement between satellite and ground measurements improves. For a 2-monthly time series, for which a manual screening of all-sky images was performed, MAD values of 0.08 and 0.07 were obtained for the two employed ice particle mixtures, respectively.

Determination of precipitate particle shape by ferromagnetic resonance

1957 ◽  
Vol 5 (11) ◽  
pp. 682-684 ◽  
Author(s):  
C.P. Bean ◽  
J.D. Livingston ◽  
D.S. Rodbell
Keyword(s):  
Ferromagnetic Resonance ◽  
Particle Shape ◽  
Precipitate Particle
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