Refractories containing fused and sintered alumina aggregates: Investigations on processing, particle size distribution and particle morphology

2017 ◽  
Vol 43 (5) ◽  
pp. 4252-4262 ◽  
Author(s):  
Stefan Schafföner ◽  
Christin Dietze ◽  
Steffen Möhmel ◽  
Jens Fruhstorfer ◽  
Christos G. Aneziris
2021 ◽  
Vol 2021 (9) ◽  
pp. 3-7
Author(s):  
Dmitriy Kostin ◽  
Aleksandr Amosov ◽  
Anatoliy Samboruk ◽  
Bogdan Chernyshev ◽  
Anton Kamynin

A comparison is made of the characteristics of metal powders of a hard magnetic alloy produced by centrifugal spraying and gas atomization. Comparative studies of particle morphology and particle size distribution of powders are presented in order to determine them.


2007 ◽  
Vol 22 (7) ◽  
pp. 1907-1920 ◽  
Author(s):  
Joseph T. Mang ◽  
Rex P. Hjelm ◽  
Steven F. Son ◽  
Paul D. Peterson ◽  
Betty S. Jorgensen

Small-angle scattering (SAS) and ultra small-angle scattering techniques, employing x-rays and neutrons, were used to characterize six different aluminum nanopowders and nanopowders composed of molybdenum trioxide and tungsten trioxide nanoparticles. Each material has different primary particle morphology and aggregate and agglomerate geometry, and each is important to the development of nano-energetic materials. The combination of small-angle and ultra small-angle techniques allowed a wide range of length scales to be probed, providing a more complete characterization of the materials. For the aluminum-based materials, differences in the scattering of x-rays and neutrons from aluminum and aluminum oxide provided sensitivity to the metal core and metal oxide shell structure of the primary nanoparticles. Small-angle scattering was able to discriminate between particle size and shape and agglomerate and aggregate geometry, allowing analysis of both aspects of the structure. Using the results of these analyses and guided by scanning electron microscopy (SEM) images, physical models were developed, allowing for a quantitative determination of particle morphology, mean nanoparticle size, nanoparticle size distribution, surface layer thickness, and aggregate and agglomerate fractal dimension. Particle size distributions calculated using a maximum entropy algorithm or by assuming a log-normal particle size distribution function were comparable. Surface area and density determinations from the small-angle scattering measurements were comparable to those obtained from other, more commonly used analytical techniques: gas sorption using Brunauer–Emmett–Teller analysis, thermogravimetric analysis, and helium pycnometry. Particle size distribution functions derived from the SAS measurements agreed well with those obtained from SEM.


2014 ◽  
Vol 20 (2) ◽  
pp. 241-248 ◽  
Author(s):  
Xiaoyan Zhu ◽  
Jianchao Chen ◽  
Jieyu Chen ◽  
Xinrong Lei ◽  
Chunjie Yan

Urea intercalation compounds were produced in a new designed industrial scale. The conditions and locations of the new industrial process for the production of urea intercalation compound pigment were studied through the control of correlative parameters. Properties of the compound pigment such as particle morphology, particle size distribution and viscosity, were analyzed to evaluate its potentiality for paper coating application. Results showed that the intercalation ratio of urea intercalation compound increased from 6.3% with 2wt. % of urea addition to 56.08% with 6wt.% of urea addition. Viscosity concentration of urea intercalation compound improved from 69% of original kaolinite to the highest value, 74.23% of the compound. Particle size distribution was centralized. Properties of light weight papers coated with urea intercalation compound showed interesting results, similar to a standard grade.


2009 ◽  
Vol 66 ◽  
pp. 13-16
Author(s):  
Ming Jin Deng ◽  
Qi De Wu ◽  
Xiao Li Ji ◽  
Na Li ◽  
Chun Song Hua

The 1.2µm and 100µm silicon carbide were prepared by the process of reshaping and classification. The effect of particle morphology and particle size distribution of silicon carbide on tap density, green body density and apparent viscosity of slurry were analysized. The result showed that the particle size distribution closed to normal distribution and the particle morphology closed to spherical were the main cause that leads to the lower apparent viscosity and the higher density of the green body.


2019 ◽  
Author(s):  
Shannon L. Mason ◽  
Robin J. Hogan ◽  
Christopher D. Westbrook ◽  
Stefan Kneifel ◽  
Dmitri Moisseev

Abstract. The accurate representation of ice particles is essential for both remotely-sensed estimates of cloud and precipitation and numerical models of the atmosphere. As it is typical in radar retrievals to assume that all snow is composed of unrimed aggregate snowflakes, both denser rimed snow and the mixed-phase cloud in which riming occurs may be under-diagnosed in retrievals, and therefore difficult to evaluate in weather and climate models. Recent experimental and numerical studies have yielded methods for using triple-frequency radar measurements to distinguish fractal aggregate snowflakes from more dense and homogeneous rimed particles. In this study we investigate which parameters of the particle size distribution (PSD) and morphology of ice particles are most important to the triple-frequency radar signature of snow, in order to carry out an optimal estimation retrieval using triple-frequency Doppler radar observations. We represent a range of ice particle morphologies using a fractal model for aggregate snowflakes and homogeneous spheroids to represent rimed graupel-like particles, and modulate the prefactor and exponent of the particles' mass-size relations with a density factor. We find that for both fractal particles and homogeneous spheroids the PSD shape has a greater influence on the triple-frequency radar signature than the density factor, and show that the PSD shape must be allowed to vary to adequately constrain a triple-frequency radar retrieval of snow. We then demonstrate a novel triple-frequency Doppler radar retrieval of three parameters of the PSD as well as particle density, and show that the estimated snow rate, PSD and bulk density compare well against in situ observations at the surface. In a case study of compact rimed snow, we find that triple-frequency radar measurements provide a strong constraint on the estimation of PSD shape, but a relatively weak constraint on particle density, which we find can be more directly estimated from the Doppler velocity due to the relation between particle density and fallspeed. Including variations in PSD shape as well as particle morphology allows for a better representation of the triple-frequency radar signatures of rimed and unrimed snow, and suggests the potential for making new insights into the interaction between particles during aggregation and riming mechanisms. However, we find that improved representation of the PSD shape has a limited impact on improved estimates of snow rate from radar. The importance of the PSD shape to triple-frequency radar retrievals of snow suggests that further work is needed to account for variations in PSD shape before triple-frequency radar measurements can be used to better constrain particle morphology.


Author(s):  
Dmitriy Kostin ◽  
Aleksandr Amosov ◽  
Anatoliy Samboruk ◽  
Bogdan Chernyshev ◽  
Anton Kamynin

A comparison is made of the characteristics of metal powders of a hard magnetic alloy produced by centrifugal spraying and gas atomization. Comparative studies of particle morphology and particle size distribution of powders are presented in order to determine them.


2011 ◽  
Vol 314-316 ◽  
pp. 742-746 ◽  
Author(s):  
Er Tuan Zhao ◽  
Fan Tao Kong ◽  
Yuong Chen

Investment casting technique presents more advantages in the production of accuracy and versatility components. The mechanical performance of the ceramic shell is crucial to the quality of the castings. The slurry parameters can affect the properties of the ceramic shell. The purpose of this paper is to investigate the physical properties of primary slurry for titanium and titanium alloy investment casting. Three different slurries (ZrO2, Y2O3 and Al2O3) were evaluated respectively by comparing the parameters: viscosity, bulk density, particle size distribution, thixotropy and suspension percentage of slurries. The results show that the physical properties of primary slurry were mostly determined by the type and content of refractory materials. Refractory particle morphology and the particle size distribution affect slurry rheology and viscosity.


Materials ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 283
Author(s):  
Juntao Ma ◽  
Daguang Wang ◽  
Shunbo Zhao ◽  
Ping Duan ◽  
Shangtong Yang

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.


2020 ◽  
Vol 69 (4) ◽  
pp. 102-106
Author(s):  
Shota Ohki ◽  
Shingo Mineta ◽  
Mamoru Mizunuma ◽  
Soichi Oka ◽  
Masayuki Tsuda

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