A novel image processing technique for detection of pseudo occluded bubbles and identification of flow regimes in a bubble column reactor

Measurement ◽  
2021 ◽  
pp. 110568
Author(s):  
Pranesh Kumar Saha ◽  
Ritam Pal ◽  
Sourav Sarkar ◽  
Achintya Mukhopadhyay
Keyword(s):  
Image Processing ◽  
Bubble Column ◽  
Flow Regimes ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Bubble Column Reactor ◽  
Column Reactor

Hydrodynamic Study of Bubbles in a Bubble Column Reactor Part I – Image Processing

2015 ◽  
Vol 813-814 ◽  
pp. 1018-1022
Author(s):  
S. Naveen ◽  
T. Sriram ◽  
S. Prithvi Raj ◽  
M. Venkatesan
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Bubble Column ◽  
Waste Water Treatment ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Bubble Column Reactor ◽  
Hydrodynamic Characteristics ◽  
High Speed Photography ◽  
Stationary Liquid Phase

The study of bubble column reactors has its significance in applications such as multiphase reactors, aerators and in industrial waste-water treatment. Extensive works has been done in studying the hydrodynamics of a single gas bubble flowing through stationary liquid phase. The natural breakup of bubble during its motion has been studied in the past. In the Part I of the present work, hydrodynamics of an air bubble after its artificial splitting using a stainless steel mesh is experimentally studied using image processing and high speed photography. The significance of bubble splitting is that it increases the surface area of contact between stationery and moving fluid which in turn increases the rate of reaction desired during the process. The motion of the bubble is captured during its release and after splitting using High-Speed Camera. The velocity, area and diameter of the bubble before and after splitting are calculated by applying Image processing technique on the high speed photograph. The splitting of the bubble is found to vary with the superficial gaseous velocity. The splitting of bubbles into two bubbles of nearly equal size is considered and its hydrodynamic characteristics are studied.

Hydrodynamic Study of Bubbles in a Bubble Column Reactor Part II – Numerical Study

2015 ◽  
Vol 813-814 ◽  
pp. 1023-1027
Author(s):  
S. Arunkumar ◽  
V. Harshavardhan Reddy ◽  
T.M. Sreevathsav ◽  
M. Venkatesan
Keyword(s):  
High Speed ◽  
Gas Flow ◽  
Bubble Column ◽  
Numerical Study ◽  
Image Processing Technique ◽  
Bubble Velocity ◽  
Bubble Column Reactor ◽  
Hydrodynamic Characteristics ◽  
Flow Rates ◽  
Column Reactor

The present work deals with the use of CFD analysis and the validation of the experimental work carried out on the artificial splitting of an air bubble in a bubble column reactor. In Part I of this work, artificial splitting of bubble in a bubble column rector is experimentally studied by using a high speed camera. Image processing technique was used to identify bubble size and bubble velocity. In present work CFD simulations are carried out using ANSYS FLUENT software using Volume of Fluids (VOF) method. VOF is based on a surface tracking technique applied to a fixed Eulerian space. The phase fraction in physical quantities that can be used to distinguish the distribution of gas hold up in a bubble Column reactor. The numerical study of splitting of bubble into two bubbles of nearly equal size is considered. In the bubble column reactor, the liquid phase is stationary and gas flow rate in it is varied. The superficial gas flow rates are 10 lph, 15 lph, 20 lph and 25 lph. The characteristics of bubble after splitting which include its shape, size and velocity for various gas flow rates mentioned above are studied numerically and are compared with experimental results. These hydrodynamic characteristics play a pivotal role in the reactions occurring between the liquid and gas phases in the bubble column reactor.

Bubble Trajectory in a Bubble Column Reactor using Combined Image Processing and Artificial Neural Network

2017 ◽  
Vol 15 (1) ◽  
Author(s):  
Balachandar Chidambaram ◽  
Arunkumar Seshadri ◽  
Venkatesan Muniyandi
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Artificial Neural Network ◽  
Bubble Column ◽  
Numerical Results ◽  
Newtonian Fluids ◽  
Bubble Column Reactor ◽  
Column Reactor ◽  
Bubble Column Reactors ◽  
Artificial Neural

Abstract The applications of Bubble column reactors in gas-liquid multiphase reactions are widely observed in process industries. Biochemical reactions such as wet oxidation and algae bio-reactions are carried out in bubble column reactors. In this article, an image processing based comprehensive algorithm is developed to identify the trajectory of bubbles in a bubble column reactor. Photographs of bubbles moving up in a bubble column reactor are recorded for different velocities using a high speed camera. An algorithm is developed to plot the trajectory of the bubble. The developed algorithm can be used with experimental and numerical results to trace the trajectory of bubbles. The algorithm is applied to the results of volume of fluids (VOF) simulation to identify the bubble path in Newtonian and non-Newtonian fluids. Based on the algorithm, numerical results obtained on Newtonian fluids are used to train an Artificial Neural Network (ANN) to find the temporal position of the bubble. Superficial fluid velocities, nozzle diameter and time are the input parameters. The trained Levenberg-Marquardt based neural network can find the position of the bubble at any instant of time. The designed algorithm can study the dynamics and position of a bubble in process applications carried out in a bubble column reactor.

scholarly journals Measurement of Thickness of Foam layer and Entrance Region in a Bubble Column using Image Processing Technique

2019 ◽  
Vol 8 (10) ◽  
pp. 3776-3781
Keyword(s):  
Image Processing ◽  
Bubble Column ◽  
Direct Method ◽  
Water System ◽  
Processing Technique ◽  
Gas Holdup ◽  
Image Processing Technique ◽  
Foam Layer ◽  
Bubble Behavior ◽  
Bed Height

Photographic method is a direct method for study of bubble behavior. Hydrodynamic study in a rectangular bubble column (0.37m X 0.2m X 0.02m) for air-water system was studied using photographic technique by recording movie at 120fps. Image processing tools were applied to measure regions of gas-liquid dispersion, entrance, foam layer and bubble-bursting were identified. The foam layer thickness showed maxima at Ug = 0.1 m s-1 . It decreased with increasing static bed height. The width of entry region also passed through maxima, though it was not sharp. The width of entry region increased with increasing settled bed height. Gas holdup measured in terms of pixel density deviated from experimental values with increasing superficial gas velocity due to overlapping bubbles. The average gas holdup decreased with increasing static bed height.

A New Image Processing Technique for STEM

1974 ◽  
Vol 32 ◽  
pp. 432-433
Author(s):  
Yasushi Kokubo ◽  
Hirotami Koike ◽  
Teruo Someya
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Elastic Scattering ◽  
Field Emission ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Energy Analyzer ◽  
Scanning Microscope ◽  
Scanning Electron

One of the advantages of scanning electron microscopy is the capability for processing the image contrast, i.e., the image processing technique. Crewe et al were the first to apply this technique to a field emission scanning microscope and show images of individual atoms. They obtained a contrast which depended exclusively on the atomic numbers of specimen elements (Zcontrast), by displaying the images treated with the intensity ratio of elastically scattered to inelastically scattered electrons. The elastic scattering electrons were extracted by a solid detector and inelastic scattering electrons by an energy analyzer. We noted, however, that there is a possibility of the same contrast being obtained only by using an annular-type solid detector consisting of multiple concentric detector elements.

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

An Enhanced Technique for Classification of Fruits using Shape Color and Texture Features

2017 ◽  
Vol 7 (7) ◽  
pp. 408
Author(s):  
Yashpal Jitarwal ◽  
Tabrej Ahamad Khan ◽  
Pawan Mangal
Keyword(s):  
Image Processing ◽  
Texture Features ◽  
Automatic Classification ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Advance Technique ◽  
Time Required ◽  
Fruit Sorting ◽  
Human Inspection

In earlier times fruits were sorted manually and it was very time consuming and laborious task. Human sorted the fruits of the basis of shape, size and color. Time taken by human to sort the fruits is very large therefore to reduce the time and to increase the accuracy, an automatic classification of fruits comes into existence.To improve this human inspection and reduce time required for fruit sorting an advance technique is developed that accepts information about fruits from their images, and is called as Image Processing Technique.

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