The process of modeling transducers generally involves the use of a finite number of discrete lumped elements connected using circuit-like conventions. However, such models are difficult to use for transducers which implicitly depend upon variation of a physical parameter with location since they view the transducer as existing only at points or discrete intervals in space. In this article a general modeling procedure is developed which views a transducer as a spatially distributed device. The model introduced here uses the theory of connected two-ports to determine the overall transfer matrix and scattering matrix representations. This directly yields the transducer sensitivities and efficiencies. The model is limited to transducers which may be thought of as being comprised of an infinite number of infinitesimal twoport elements, each of which is mechanically independent of the others. Coupling between the elements occurs through the input and output ports. The modeling procedure is demonstrated using an acoustic antenna, and shown to accurately predict the directional behavior.
Skip Nav Destination
Article navigation
September 1990
Research Papers
Spatially Distributed Transducers: Part I—Coupled Two-Port Models
Ilene J. Busch-Vishniac
Ilene J. Busch-Vishniac
Department of Mechanical Engineering, The University of Texas, Austin, Texas 78712
Search for other works by this author on:
Ilene J. Busch-Vishniac
Department of Mechanical Engineering, The University of Texas, Austin, Texas 78712
J. Dyn. Sys., Meas., Control. Sep 1990, 112(3): 372-380 (9 pages)
Published Online: September 1, 1990
Article history
Received:
September 22, 1987
Online:
March 17, 2008
Connected Content
A companion article has been published:
Spatially Distributed Transducers: Part II—Augmented Transmission Line Models
Citation
Busch-Vishniac, I. J. (September 1, 1990). "Spatially Distributed Transducers: Part I—Coupled Two-Port Models." ASME. J. Dyn. Sys., Meas., Control. September 1990; 112(3): 372–380. https://doi.org/10.1115/1.2896154
Download citation file:
Get Email Alerts
Cited By
Adaptive Mesh Refinement and Error Estimation Method for Optimal Control Using Direct Collocation
J. Dyn. Sys., Meas., Control
Motion Control Along Spatial Curves for Robot Manipulators: A Non-Inertial Frame Approach
J. Dyn. Sys., Meas., Control
A Case Study Comparing Both Stochastic and Worst-Case Robust Control Co-Design Under Different Control Structures
J. Dyn. Sys., Meas., Control
Nonsingular Fast Terminal Sliding Mode-Based Lateral Stability Control for Three-Axis Heavy Vehicles
J. Dyn. Sys., Meas., Control (May 2025)
Related Articles
Analytical Modeling of Wave Interference Directional Microphones
J. Eng. Ind (November,1981)
Assessing Transfer Matrix Models and Measurements Using Acoustic Energy Conservation Principles
J. Eng. Gas Turbines Power (January,2024)
Low-Frequency Acoustic Response of Gas Turbine Perforated Plate and Axial Swirler
J. Eng. Gas Turbines Power (May,2022)
Simulation of the Thermoacoustic Response of an Aero-Engine Gas Turbine Fuel Injector Using a Hybrid CFD-CAA Method
J. Eng. Gas Turbines Power (November,2023)
Related Proceedings Papers
Related Chapters
Low Power and Low Area Analog Multiplier Using MiFGMOS
International Conference on Computer and Automation Engineering, 4th (ICCAE 2012)
Realization of Generalized Parallel Counter for Improving FPGA Performance
International Conference on Computer and Computer Intelligence (ICCCI 2011)
Introduction and Scope
High Frequency Piezo-Composite Micromachined Ultrasound Transducer Array Technology for Biomedical Imaging