EVALUATION OF WELD DEFECT SIGNAL FEATURES USING ULTRASONIC FULL WAVE PULSE ECHO METHOD

Received: 14 Mar 2022, Revised: 02 Apr 2022, Accepted: 21 June 2022, Available online: 28 Sep 2022, Version of Record: 28 Sep 2022

Suhairy Sani1,2, Mohamad Hanif Md Saad1, Nordin Jamaludin1, Norsalim Muhammad3, Siti Fatahiyah Mohamad4 & Megat Harun Al Rashid Megat Ahmad2
1Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Malaysia 2Industrial Technology Division, Malaysian Nuclear Agency, Malaysia 3Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Malaysia 4Radiation Processing Technology Division, Malaysian Nuclear Agency, Malaysia *Email: suhairy@nm.gov.my

Abstract


Inspecting weld structures is crucial to determine the quality of welds to prevent failure in daily operations. Ultrasonic testing (UT) is an effective and non-destructive test that has become one of the most suitable methods for detecting defects in welded structures. This work presents a method to determine the most suitable feature extraction using full-wave pulse echo (FWPE) to distinguish the various types of weld defects in single V-joint plates. Six types of certified carbon steel welding materials with induced defects are employed in this study. Normal condition welding (no defects) is used as a reference. A portable ultrasonic equipment generates the FWPE signal using a shear wave angle beam probe. The measured FWPE signals in the configured scanning area are filtered to reduce noise and subsequently recorded to extract the wave characteristics. Manual transverse scan probe movement is performed in the defect areas on both sides of the weld for each welding specimen to obtain the B-scan results. The outcomes revealed that characteristic extraction for the time domain, maximum amplitude, depth, number of peaks and skew can be used to determine the type of defect on the welded specimens tested. Scanning both sides of the weld provides additional information that helps distinguish the type of defect in terms of orientation and position.
Keywords: Ultrasonic testing (UT); full-wave pulse echo (FWPE); weld defects; signal features extraction; transverse scan probe movement



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