scholarly journals Chord length distribution to particle size distribution

AIChE Journal ◽  
2016 ◽  
Vol 62 (12) ◽  
pp. 4215-4228 ◽  
Author(s):  
Ajinkya V. Pandit ◽  
Vivek V. Ranade
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Length Distribution ◽  
Chord Length ◽  
Chord Length Distribution

scholarly journals Estimation of particle size distribution and aspect ratio of non-spherical particles from chord length distribution

2015 ◽  
Vol 123 ◽  
pp. 629-640 ◽  
Author(s):  
Okpeafoh S. Agimelen ◽  
Peter Hamilton ◽  
Ian Haley ◽  
Alison Nordon ◽  
Massimiliano Vasile ◽  
...  
Keyword(s):  
Particle Size ◽  
Aspect Ratio ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Length Distribution ◽  
Chord Length ◽  
Spherical Particles ◽  
Chord Length Distribution

scholarly journals Prediction of Pore Volume Dispersion and Microstructural Characteristics of Concrete Using Image Processing Technique

Crystals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1476
Author(s):  
Dhanalakshmi K ◽  
Maheswaran. J ◽  
Siva Avudaiappan ◽  
Mugahed Amran ◽  
Radhamanohar Aepuru ◽  
...  
Keyword(s):  
Image Processing ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Pore Volume ◽  
Length Distribution ◽  
Chord Length ◽  
Image Processing Technique ◽  
Micro Ct ◽  
Chord Length Distribution

Concrete has served an essential role in many infrastructural projects. Factors including pore percentage, pore distribution, and cracking affect concrete durability. This research aims to better understand pore size distribution in cement-based materials. Micro-computed tomography (micro-CT) pictures were utilised to characterise the interior structure of specimens without destroying them. The pore dispersion of the specimens was displayed in 3D, utilising the data and imaging techniques collected, and the pore volume dispersion was examined using a volume-based approach. Another way to describe heterogeneous pore features is the chord-length distribution, which was calculated from three-dimensional micro-CT scans and correlated with the traditional method. The collected specimens were subjected to physical and mechanical testing. In addition, image processing techniques were used to conduct the studies. The results showed that the chord-length distribution-based pore size distribution is very successful than the traditional volume-based technique. The acquired data could be used for research and to forecast the characteristics of the materials.

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