Particle Shape Analysis as an example of knowledge extraction by neural nets

1993 ◽  
Vol 10 (5) ◽  
pp. 275-278 ◽  
Author(s):  
Reinhard Kohlus ◽  
Michael Bottlinger
Keyword(s):  
Shape Analysis ◽  
Particle Shape ◽  
Knowledge Extraction ◽  
Neural Nets

scholarly journals DISPERSAL OF VOLCANIC ASH ON MARS: ASH PARTICLE SHAPE ANALYSIS

2017 ◽  
Author(s):  
Zachary Langdalen ◽  
◽  
Sarah A. Fagents ◽  
Erin Fitch
Keyword(s):  
Shape Analysis ◽  
Particle Shape ◽  
Volcanic Ash

Prediction of Packing Density of Milled Powder Based on Packing Simulation and Particle Shape Analysis

2007 ◽  
Vol 534-536 ◽  
pp. 1621-1624
Author(s):  
Yuto Amano ◽  
Takashi Itoh ◽  
Hoshiaki Terao ◽  
Naoyuki Kanetake
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Shape Analysis ◽  
Packing Density ◽  
Particle Shape ◽  
Milled Powder ◽  
Spherical Particles ◽  
Nonspherical Particles ◽  
Property Control

For precise property control of sintered products, it is important to know the powder characteristics, especially the packing density of the powder. In a previous work, we developed a packing simulation program that could make a packed bed of spherical particles having particle size distribution. In order to predict the packing density of the actual powder that consisted of nonspherical particles, we combined the packing simulation with a particle shape analysis. We investigated the influence of the particle size distribution of the powder on the packing density by executing the packing simulation based on particle size distributions of the actual milled chromium powders. In addition, the influence of the particle shape of the actual powder on the packing density was quantitatively analyzed. A prediction of the packing density of the milled powder was attempted with an analytical expression between the particle shape of the powder and the packing simulation. The predicted packing densities were in good agreement with the actual data.

New tools for particle shape analysis of substrate components: initial results and future prospects

2021 ◽  
pp. 335-342
Author(s):  
S. Durand ◽  
B.E. Jackson ◽  
P.C. Bartley ◽  
W.C. Fonteno ◽  
J.C. Michel
Keyword(s):  
Shape Analysis ◽  
Particle Shape ◽  
Future Prospects ◽  
Initial Results

Particle shape analysis of tailings using digital image processing

2019 ◽  
Vol 26 (25) ◽  
pp. 26397-26403 ◽  
Author(s):  
Yonghao Yang ◽  
Zuoan Wei ◽  
Andy Fourie ◽  
Yulong Chen ◽  
Binbin Zheng ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Shape Analysis ◽  
Digital Image ◽  
Particle Shape

Re-formation of metastable ε-Fe2O3 in post-annealing of Fe2O3/SiO2 nanostructure: Synthesis, computational particle shape analysis in micrographs and magnetic properties

2017 ◽  
Vol 43 (10) ◽  
pp. 7497-7507 ◽  
Author(s):  
Violeta N. Nikolic ◽  
Vojislav Spasojevic ◽  
Matjaz Panjan ◽  
Lazar Kopanja ◽  
Ana Mrakovic ◽  
...  
Keyword(s):  
Magnetic Properties ◽  
Shape Analysis ◽  
Particle Shape ◽  
Post Annealing
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