title: Fan beam and double crosshole Lamb wave tomography for mapping flaws in aging aircraft structures.
abstract: As the worldwide aviation fleet continues to age, methods for accurately predicting the presence of structural flaws-such as hidden corrosion and disbonds-that compromise airworthiness become increasingly necessary. Ultrasonic guided waves, Lamb waves, allow large sections of aircraft structures to be rapidly inspected. However, extracting quantitative information from Lamb wave data has always involved highly trained personnel with a detailed knowledge of mechanical waveguide physics. The work summarized here focuses on a variety of different tomographic reconstruction techniques to graphically represent the Lamb wave data in quantitative maps that can be easily interpreted by technicians. Because the velocity of Lamb waves depends on thickness, for example, the traveltimes of the fundamental Lamb modes can be converted into a thickness map of the inspection region. This article describes two potentially practical implementations of Lamb wave tomographic imaging techniques that can be optimized for in-the-field testing of large-area aircraft structures. Laboratory measurements discussed here demonstrate that Lamb wave tomography using either a ring of transducers with fan beam reconstructions, or a square array of transducers with algebraic reconstruction tomography, is appropriate for detecting flaws in multilayer aircraft materials. The speed and fidelity of the reconstruction algorithms as well as practical considerations for person-portable array-based systems are discussed in this article.
authors.affiliation: Department of Applied Science, College of William & Mary, Williamsburg, Virginia 23187-8795, USA.
authors.forename: E V
authors.initials: EV
authors.lastname: Malyarenko
authors.forename: M K
authors.initials: MK
authors.lastname: Hinders
mesh_terms: D000401:Aircraft / Q000295:instrumentation*; D000535:Aluminum; D019544:Equipment Failure Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D014054:Tomography; D014465:Ultrasonics
chemical_list: D000535:Aluminum