Particle Size and Shape Characterization

2012 ◽  
pp. 77-127 ◽  
Author(s):  
Jarrod R. Hart ◽  
Yingdan Zhu ◽  
Eric Pirard
Keyword(s):  
Particle Size ◽  
Size And Shape ◽  
Particle Size And Shape ◽  
Shape Characterization

Application of Image-Based Particle Size and Shape Characterization Systems in the Development of Small Molecule Pharmaceuticals

2015 ◽  
Vol 104 (5) ◽  
pp. 1563-1574 ◽  
Author(s):  
John F. Gamble ◽  
Mike Tobyn ◽  
Rhye Hamey
Keyword(s):  
Particle Size ◽  
Small Molecule ◽  
Size And Shape ◽  
Particle Size And Shape ◽  
Shape Characterization

Particle Size and Shape Characterization of Kaolins-Comparison of Settling Methods and Laser Diffraction

2004 ◽  
Vol 264-268 ◽  
pp. 1387-1390 ◽  
Author(s):  
M. Lehmann ◽  
C. Berthold ◽  
W. Pabst ◽  
Eva Gregorová ◽  
K.G. Nickel
Keyword(s):  
Particle Size ◽  
Laser Diffraction ◽  
Size And Shape ◽  
Particle Size And Shape ◽  
Shape Characterization

scholarly journals Machine learning shadowgraph for particle size and shape characterization

2020 ◽  
Vol 32 (1) ◽  
pp. 015406
Author(s):  
Jiaqi Li ◽  
Siyao Shao ◽  
Jiarong Hong
Keyword(s):  
Machine Learning ◽  
Particle Size ◽  
Size And Shape ◽  
Particle Size And Shape ◽  
Shape Characterization

Accurate particle speed prediction by improved particle speed measurement and 3-dimensional particle size and shape characterization technique

2017 ◽  
Vol 318 ◽  
pp. 95-109 ◽  
Author(s):  
Federico Cernuschi ◽  
Christian Rothleitner ◽  
Sønnik Clausen ◽  
Ulrich Neuschaefer-Rube ◽  
Jens Illemann ◽  
...  
Keyword(s):  
Particle Size ◽  
3 Dimensional ◽  
Size And Shape ◽  
Speed Measurement ◽  
Characterization Technique ◽  
Particle Speed ◽  
Speed Prediction ◽  
Particle Size And Shape ◽  
Shape Characterization

GROWING MEDIA VARYING IN PARTICLE SIZE AND SHAPE FOR GREENHOUSE TOMATO

2004 ◽  
pp. 307-311 ◽  
Author(s):  
S. Allaire ◽  
J. Caron ◽  
C. Ménard ◽  
M. Dorais
Keyword(s):  
Particle Size ◽  
Growing Media ◽  
Size And Shape ◽  
Greenhouse Tomato ◽  
Particle Size And Shape

Brake Wear Particle Size and Shape Analysis of Non-Asbestos Organic (NAO) and Semi Metallic Brake Pad

2014 ◽  
Vol 71 (2) ◽  
Author(s):  
Hussain, S. ◽  
M.K Abdul Hamid ◽  
A.R Mat Lazim ◽  
A.R. Abu Bakar
Keyword(s):  
Particle Size ◽  
Wear Particle ◽  
Brake Disc ◽  
Wear Particles ◽  
Brake Pad ◽  
Brake Pads ◽  
Size And Shape ◽  
Brake Wear Particles ◽  
Brake Wear ◽  
Particle Size And Shape

Brake wear particles resulting from friction between the brake pad and disc are common in brake system. In this work brake wear particles were analyzed based on the size and shape to investigate the effects of speed and load applied to the generation of brake wear particles. Scanning electron microscopy (SEM) with energy-dispersive X-ray spectroscopy (EDX) was used to identify the size, shape and element compositions of these particles. Two types of brake pads were studied which are non-asbestos organic and semi metallic brake pads. Results showed that the size and shape of the particles generatedvary significantly depending on the applied brake load, and less significantly on brake disc speed. The wear particle becomes bigger with increasing applied brake pressure. The wear particle size varies from 300 nm to 600 µm, and contained elements such as carbon, oxygen, magnesium, aluminum, sulfur and iron.

scholarly journals Particle Morphology Analysis of Biomass Material Based on Improved Image Processing Method

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Zhaolin Lu ◽  
Xiaojuan Hu ◽  
Yao Lu
Keyword(s):  
Image Processing ◽  
Particle Size ◽  
Particle Morphology ◽  
Processing Method ◽  
Image Resolution ◽  
Ultrasonic Dispersion ◽  
Image Processing Method ◽  
Size And Shape ◽  
Nominal Size ◽  
Particle Size And Shape

Particle morphology, including size and shape, is an important factor that significantly influences the physical and chemical properties of biomass material. Based on image processing technology, a method was developed to process sample images, measure particle dimensions, and analyse the particle size and shape distributions of knife-milled wheat straw, which had been preclassified into five nominal size groups using mechanical sieving approach. Considering the great variation of particle size from micrometer to millimeter, the powders greater than 250 μm were photographed by a flatbed scanner without zoom function, and the others were photographed using a scanning electron microscopy (SEM) with high-image resolution. Actual imaging tests confirmed the excellent effect of backscattered electron (BSE) imaging mode of SEM. Particle aggregation is an important factor that affects the recognition accuracy of the image processing method. In sample preparation, the singulated arrangement and ultrasonic dispersion methods were used to separate powders into particles that were larger and smaller than the nominal size of 250 μm. In addition, an image segmentation algorithm based on particle geometrical information was proposed to recognise the finer clustered powders. Experimental results demonstrated that the improved image processing method was suitable to analyse the particle size and shape distributions of ground biomass materials and solve the size inconsistencies in sieving analysis.

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