Family of Quantum Sources for Improving Near Field Accuracy in Transducer Modeling by the Distributed Point Source Method
Affiliation
Univ Arizona, Dept Civil Engn & Engn MechIssue Date
2016-10-18
Metadata
Show full item recordPublisher
MDPI AGCitation
Family of Quantum Sources for Improving Near Field Accuracy in Transducer Modeling by the Distributed Point Source Method 2016, 6 (10):302 Applied SciencesJournal
Applied SciencesRights
© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The distributed point source method, or DPSM, developed in the last decade has been used for solving various engineering problems-such as elastic and electromagnetic wave propagation, electrostatic, and fluid flow problems. Based on a semi-analytical formulation, the DPSM solution is generally built by superimposing the point source solutions or Green's functions. However, the DPSM solution can be also obtained by superimposing elemental solutions of volume sources having some source density called the equivalent source density (ESD). In earlier works mostly point sources were used. In this paper the DPSM formulation is modified to introduce a new kind of ESD, replacing the classical single point source by a family of point sources that are referred to as quantum sources. The proposed formulation with these quantum sources do not change the dimension of the global matrix to be inverted to solve the problem when compared with the classical point source-based DPSM formulation. To assess the performance of this new formulation, the ultrasonic field generated by a circular planer transducer was compared with the classical DPSM formulation and analytical solution. The results show a significant improvement in the near field computation.ISSN
2076-3417Version
Final published versionSponsors
Ecole Normale Superieure de Cachan, FranceAdditional Links
http://www.mdpi.com/2076-3417/6/10/302ae974a485f413a2113503eed53cd6c53
10.3390/app6100302
Scopus Count
Collections
Except where otherwise noted, this item's license is described as © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).

