Literature DB >> 24576599

Mode perturbation method for optimal guided wave mode and frequency selection.

J H Philtron1, J L Rose2.   

Abstract

With a thorough understanding of guided wave mechanics, researchers can predict which guided wave modes will have a high probability of success in a particular nondestructive evaluation application. However, work continues to find optimal mode and frequency selection for a given application. This "optimal" mode could give the highest sensitivity to defects or the greatest penetration power, increasing inspection efficiency. Since material properties used for modeling work may be estimates, in many cases guided wave mode and frequency selection can be adjusted for increased inspection efficiency in the field. In this paper, a novel mode and frequency perturbation method is described and used to identify optimal mode points based on quantifiable wave characteristics. The technique uses an ultrasonic phased array comb transducer to sweep in phase velocity and frequency space. It is demonstrated using guided interface waves for bond evaluation. After searching nearby mode points, an optimal mode and frequency can be selected which has the highest sensitivity to a defect, or gives the greatest penetration power. The optimal mode choice for a given application depends on the requirements of the inspection.
Copyright © 2014 Elsevier B.V. All rights reserved.

Keywords:  Interface waves; Mode selection; Phased array; Ultrasonic guided waves

Year:  2014        PMID: 24576599     DOI: 10.1016/j.ultras.2014.02.005

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  2 in total

1.  Preventing microbial biofilms on catheter tubes using ultrasonic guided waves.

Authors:  Huanlei Wang; Fengmeng Teng; Xin Yang; Xiasheng Guo; Juan Tu; Chunbing Zhang; Dong Zhang
Journal:  Sci Rep       Date:  2017-04-04       Impact factor: 4.379

2.  The Detection of Burn-Through Weld Defects Using Noncontact Ultrasonics.

Authors:  Zeynab Abbasi; Donald Yuhas; Lu Zhang; Alexandra-Del-Carmen Basantes; Niloofar Nabili Tehrani; Didem Ozevin; Ernesto Indacochea
Journal:  Materials (Basel)       Date:  2018-01-13       Impact factor: 3.623

  2 in total

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