On Bubble Sizing in Water by Ultrasound

Dublin Core

Title

On Bubble Sizing in Water by Ultrasound

Description

Classifying bubbles in liquids is a crucial problem that is demanded within multiple fields. This paper discusses a new method for classifying bubble sizes in non-contact and inexpensive approach using ultrasound analysis. Exploiting the principle of buoyancy, free rising bubbles with larger volumes elevate faster to the surface compared to the smaller ones, given that they have the same densities. An envelope detector is proposed which tracks the changes in the ultrasound signals reflected by the bubbles when they cross the ultrasound field. These changes in the reflected signals are distinctive for the sizes under consideration. Relevant spectral and linear predictive coding features that represent the distinct characteristics are extracted. These features are fed to a feed-forward artificial neural network to successfully classify air bubbles according to their sizes with an accuracy of 98.8%. This method provides promising applications to be implemented in industrial, biomedical and environmental fields.

Creator

Hussein, Walid B.
Essmat, Sarah A.
Yoma, Nestor

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 2 (2017); pp. 128-138
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2017-04-11

Rights

Copyright (c) 2017 Walid B. Hussein, Sarah A. Essmat, Nestor Yoma

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Walid Hussein B., Sarah Essmat A. and Nestor Yoma, On Bubble Sizing in Water by Ultrasound, International Association of Online Engineering (IAOE), Vienna, Austria, 2017, accessed November 8, 2024, https://igi.indrastra.com/items/show/1234

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