Vibrant Corporation

Honeywell International Inc.

Leanne Jauriqui

Lemna J Hunter

Greg Weaver

Alexander J Mayes

Richard Livings

Eric Biedermann

Julieanne Heffernan

Thomas Kohler

James J Schwarz

Surendra Singh

Frederick William Vensel

Christopher Dennis Ziomek

Thomas Köhler

Shawn A Knapp-Kleinsorge

Creation and use of a digital twin instance (DTI) for a physical instance of the part. The DTI may be created by a model inversion process such that model parameters are iterated until a convergence criterion related to a physical resonance inspection result and a digital resonance inspection result is satisfied. The DTI may then be used in relation to part evaluation including through simulated use of the part. The physical instance of the part may be evaluated by way of the DTI or the DTI may be used to generate maintenance schedules specific to the physical instance of the part.

Digital twin model inversion for testing

Generation of feedback for a part production process based on vibrational testing of parts produced by the part production process. A response characteristic may be identified from vibrational data regarding the parts that is correlated to a process variable of the part production process. The response characteristic may relate to a state of the process variable such that identification of the response characteristic may allow for generation of feedback regarding adjustment of a process control. Such response characteristic may relate to a vibrational metric regarding vibrational data and may comprise identifying a trend in data between a plurality of parts. Also presented are approaches to evaluation of parts, including batch evaluation of parts in which collective vibrational data regarding a plurality of parts belonging to a batch are analyzed. The process control aspects may be performed independently or in combination with part evaluation.

Use of resonance inspection for process control

Resonance inspection of parts in which a resonance standard to which a frequency response of the part is compared is at least in part based on a property derived from testing of a witness coupon that is manufactured concurrently with the part. This approach may allow properties of a material and/or manufacturing technique used to produce the part and witness coupon to inform the resonance standard to improve testing. Approaches are described related to both empirically derived resonance standards as well as model-based resonance standards.

Resonance inspection of manufactured parts with witness coupon testing

Various embodiments relating to resonance inspections and in-service parts are disclosed. One protocol () includes conducting a resonance inspection of an in-service part (). The frequency response of the in-service part may be compared with a resonance standard () for purposes of determining whether or not the in-service part is changing abnormally (). An in-service part that is identified as changing abnormally may be characterized as being 'rejected' (). An in-service part that is no identified as changing abnormally may be characterized as being 'accepted' ().

Utilizing resonance inspection of in-service parts

A part () may be subjected to both a resonance inspection and a surface vibration inspection. Various protocols () are disclosed as to how the results of one or more of these inspections may be used to evaluate the part ().

Part evaluation system/method using both resonance and surface vibration data

A resonance inspection tool is disclosed that may be configured to assign a part to a first classification (accepted part) or a second classification (rejected part) using a cluster combination array. Such a cluster combination array may be defined from a first cluster array having a plurality of first clusters (each being of the first classification), and from a second cluster array having a plurality of second clusters (each being of the second classification). One cluster combination array presents all possible combinations of the same first cluster from the first cluster array and each second cluster from the second cluster array, where each such cluster combination includes a corresponding sort. Another cluster combination array presents all possible combinations of the same second cluster from the second cluster array and each first cluster from the first cluster array, where each such cluster combination includes a corresponding sort.

Resonance inspection sorting module array

Various approaches for assessing a part for a defect are disclosed and that are based upon SAW modes. In one embodiment, a part-under-test () is excited. One or more SAW modes () are identified in the frequency response () of the part-under-test (). A SAW mode area () in the frequency response of the part-under-test () is compared with a baseline SAW mode area () of a baseline frequency response () (and which may be associated with an acceptable part). This comparison may be used to determine if the part-under-test () may be characterized defective in at least some respect.

Saw mode-based surface defect system/method

A system and method for evaluating a part-under-test () is disclosed. The part-under-test () is excited using at least one drive frequency. A first surface acoustical wave (SAW) mode () is identified in the frequency response (). A separate reference peak () for the identified SAW mode () is also identified in the frequency response (). At least one degeneracy assessment zone () is evaluated for existence of a surface defect trigger condition. If a surface defect trigger condition exists, the part-under-test () may be rejected. Otherwise, the part-under-test () may be accepted.

Resonance inspection-based surface defect system/method

A method for non-destructively evaluating a joined component includes inducing vibrations in the joined component within a range of frequencies, acquiring a resonance spectra from the joined component resulting from the induced vibrations, and analyzing the resonance spectra using Acoustic Sensor Testing (AST).

Growing community of inventors

Albuquerque, NM, United States of America

Leanne Jauriqui