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Advanced techniques for ultrasonic imaging in the presence of material and geometrical complexity

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2017, PhD, University of Cincinnati, Engineering and Applied Science: Aerospace Engineering.
The complexity of modern engineering systems is increasing in several ways: advances in materials science are leading to the design of materials which are optimized for material strength, conductivity, temperature resistance etc., leading to complex material microstructure; the combination of additive manufacturing and shape optimization algorithms are leading to components with incredibly intricate geometrical complexity; and engineering systems are being designed to operate at larger scales in ever harsher environments. As a result, at the same time that there is an increasing need for reliable and accurate defect detection and monitoring capabilities, many of the currently available non-destructive evaluation techniques are rendered ineffective by this increasing material and geometrical complexity. This thesis addresses the challenges posed by inspection and monitoring problems in complex engineering systems with a three-part approach. In order to address material complexities, a model of wavefront propagation in anisotropic materials is developed, along with efficient numerical techniques to solve for the wavefront propagation in inhomogeneous, anisotropic material. Since material and geometrical complexities significantly affect the ability of ultrasonic energy to penetrate into the specimen, measurement configurations are tailored to specific applications which utilize arrays of either piezoelectric (PZT) or electromagnetic acoustic transducers (EMAT). These measurement configurations include novel array architectures as well as the exploration of ice as an acoustic coupling medium. Imaging algorithms which were previously developed for isotropic materials with simple geometry are adapted to utilize the more powerful wavefront propagation model and novel measurement configurations.
Francesco Simonetti, Ph.D. (Committee Chair)
Gui-Rong Liu, Ph.D. (Committee Member)
Peter Nagy, Ph.D. (Committee Member)
218 p.

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Citations

  • Brath, A. J. (2017). Advanced techniques for ultrasonic imaging in the presence of material and geometrical complexity [Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1510053440115292

    APA Style (7th edition)

  • Brath, Alexander. Advanced techniques for ultrasonic imaging in the presence of material and geometrical complexity. 2017. University of Cincinnati, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1510053440115292.

    MLA Style (8th edition)

  • Brath, Alexander. "Advanced techniques for ultrasonic imaging in the presence of material and geometrical complexity." Doctoral dissertation, University of Cincinnati, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1510053440115292

    Chicago Manual of Style (17th edition)