Mixing of a Granular Material in a Bidimensional Rotating Drum

1994 ◽  
Vol 367 ◽  
Author(s):  
Eric Clement ◽  
Jean Rajchenbach ◽  
Jacques Duran
Keyword(s):  
Image Processing ◽  
Granular Material ◽  
Dispersion Property ◽  
Experimental Measurements ◽  
Rotating Drum ◽  
Mixing Properties ◽  
Tracer Particles ◽  
Segregation Effect ◽  
Mixing Dynamics ◽  
Processing Device

AbstractWe report experimental measurements on mixing properties in bidimensional rotating drum. Using an image processing device, we follow the trajectories of tracer particles in a monodisperse assembly of beads. Tracer particles with different size ratios exhibit a violent segregation effect: a smaller particle has a tendency to stay in the centre and a larger one will rather dwell on the edges. Furthermore, for a tracer of identical size, we evidence a specific dispersion property where the centre and the edges are competing attractors of the mixing dynamics.

Image processing device for automotive vision systems

2003 ◽  
Author(s):  
S. Muramatsu ◽  
Y. Otsuka ◽  
H. Takenaga ◽  
Y. Kobayashi ◽  
I. Furusawa ◽  
...  
Keyword(s):  
Image Processing ◽  
Vision Systems ◽  
Processing Device

Digital control of torch position and weld pool in MIG welding using image processing device

1992 ◽  
Vol 28 (3) ◽  
pp. 607-612 ◽  
Author(s):  
K. Ohshima ◽  
M. Yamamoto ◽  
T. Tanii ◽  
S. Yamane
Keyword(s):  
Image Processing ◽  
Weld Pool ◽  
Digital Control ◽  
Mig Welding ◽  
Processing Device

A lens‐free optical image‐processing device

1988 ◽  
Vol 56 (5) ◽  
pp. 475-477 ◽  
Author(s):  
Achim M. Loske ◽  
Victor M. Castaño ◽  
Alfredo Gómez
Keyword(s):  
Image Processing ◽  
Optical Image ◽  
Optical Image Processing ◽  
Processing Device

scholarly journals Magnetic Induction Spectroscopy for Biomass Measurement: A Feasibility Study

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2765 ◽  
Author(s):  
Ziyi Zhang ◽  
Mohammed Roula ◽  
Richard Dinsdale
Keyword(s):  
Magnetic Induction ◽  
Cell Biology ◽  
Measurement Techniques ◽  
Impedance Measurement ◽  
Simulation Software ◽  
Dispersion Property ◽  
Small Range ◽  
Experimental Measurements ◽  
South Wales ◽  
Saline Solutions

Background: Biomass measurement and monitoring is a challenge in a number of biotechnology processes where fast, inexpensive, and non-contact measurement techniques would be of great benefit. Magnetic induction spectroscopy (MIS) is a novel non-destructive and contactless impedance measurement technique with many potential industrial and biomedical applications. The aim of this paper is to use computer modeling and experimental measurements to prove the suitability of the MIS system developed at the University of South Wales for controlled biomass measurements. Methods: The paper reports experimental measurements conducted on saline solutions and yeast suspensions at different concentrations to test the detection performance of the MIS system. The commercial electromagnetic simulation software CST was used to simulate the measurement outcomes with saline solutions and compare them with those of the actual measurements. We adopted two different ways for yeast suspension preparation to assess the system’s sensitivity and accuracy. Results: For saline solutions, the simulation results agree well with the measurement results, and the MIS system was able to distinguish saline solutions at different concentrations even in the small range of 0–1.6 g/L. For yeast suspensions, regardless of the preparation method, the MIS system can reliably distinguish yeast suspensions with lower concentrations 0–20 g/L. The conductivity spectrum of yeast suspensions present excellent separability between different concentrations and dielectric dispersion property at concentrations higher than 100 g/L. Conclusions: The South Wales MIS system can achieve controlled yeast measurements with high sensitivity and stability, and it shows promising potential applications, with further development, for cell biology research where contactless monitoring of cellular density is of relevance.

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