Literature DB >> 12839182

Omni-directional guided wave transducer arrays for the rapid inspection of large areas of plate structures.

Paul D Wilcox1.   

Abstract

Omni-directional guided wave array transducers contain a circular pattern of elements that individually behave as omni-directional point transmitters or receivers. The data set acquired from such an array contains time-domain signals from each permutation of transmitter and receiver. A phased addition algorithm is developed that allows an omni-directional, B-scan image of the surrounding plate to be synthesized from any geometry of array. Numerically simulated data from a single reflector is used to test the performance of the algorithm. The results from an array containing a fully populated circular area of elements (Type I array) are found to be good, but those from an array containing a single ring of elements (Type II array) contain many large side-lobes. An enhancement to the basic-phased addition algorithm is presented that uses deconvolution to suppress these side-lobes. The deconvolution algorithm enables a Type II array to equal the performance of a Type I array of the same overall diameter. The effect of diameter on angular resolution is investigated. Experimental data obtained from a guided wave array containing electromagnetic acoustic transducers (EMAT) elements for exciting and detecting the So Lamb wave mode in a 5-mm thick aluminium plate are processed with both algorithms and the results are discussed.

Entities:  

Year:  2003        PMID: 12839182     DOI: 10.1109/tuffc.2003.1209557

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  2 in total

1.  Signal Construction-Based Dispersion Compensation of Lamb Waves Considering Signal Waveform and Amplitude Spectrum Preservation.

Authors:  Jian Cai; Shenfang Yuan; Tongguang Wang
Journal:  Materials (Basel)       Date:  2016-12-23       Impact factor: 3.623

2.  Strategies for guided acoustic wave inspection using mobile robots.

Authors:  Jie Zhang; Xudong Niu; Anthony J Croxford; Bruce W Drinkwater
Journal:  Proc Math Phys Eng Sci       Date:  2022-03-02       Impact factor: 2.704

  2 in total

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