Literature DB >> 26368866

Application of laser ultrasonic method for on-line monitoring of friction stir spot welding process.

Kuanshuang Zhang, Zhenggan Zhou, Jianghua Zhou.   

Abstract

Application of a laser ultrasonic method is developed for on-line monitoring of the friction stir spot welding (FSSW) process. Based on the technology of FSSW, laser-generated ultrasonic waves in a good weld and nonweld area are simulated by a finite element method. The reflected and transmitted waves are analyzed to disclose the properties of the welded interface. The noncontact-laser ultrasonic-inspection system was established to verify the numerical results. The reflected waves in the good-weld and nonweld area can be distinguished by time-of-flight. The transmitted waves evidently attenuate in the nonweld area in contrast to signal amplitude in the good weld area because of interfacial impedance difference. Laser ultrasonic C-scan images can sufficiently evaluate the intrinsic character of the weld area in comparison with traditional water-immersion ultrasonic testing results. The research results confirm that laser ultrasonics would be an effective method to realize the characterization of FSSW defects.

Entities:  

Year:  2015        PMID: 26368866     DOI: 10.1364/AO.54.007483

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  3 in total

1.  Fully Noncontact Hybrid NDT for 3D Defect Reconstruction Using SAFT Algorithm and 2D Apodization Window.

Authors:  Hossam Selim; José Trull; Miguel Delgado Prieto; Rubén Picó; Luis Romeral; Crina Cojocaru
Journal:  Sensors (Basel)       Date:  2019-05-08       Impact factor: 3.576

2.  Design of Waveguide Bars for Transmitting a Pure Shear Horizontal Wave to Monitor High Temperature Components.

Authors:  Jiuhong Jia; Qiyue Wang; Zuoyu Liao; Yun Tu; Shan-Tung Tu
Journal:  Materials (Basel)       Date:  2017-09-04       Impact factor: 3.623

3.  Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples.

Authors:  Hossam Selim; Miguel Delgado Prieto; José Trull; Luis Romeral; Crina Cojocaru
Journal:  Sensors (Basel)       Date:  2019-01-30       Impact factor: 3.576

  3 in total

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