Defect identification during pulse mode laser welding process through the pattern recognition analysis of the acquired sound frequency spectrum

Mohd Fadhlan, Mohd Yusof and M., Ishak and M. N., Salleh and M. F., Ghazali (2023) Defect identification during pulse mode laser welding process through the pattern recognition analysis of the acquired sound frequency spectrum. In: Lecture Notes in Mechanical Engineering; 6th International Conference in Mechanical Engineering Research, ICMER 2021 , 26 - 27 October 2021 , Virtual, Online. pp. 793-802.. ISSN 2195-4356 ISBN 978-981-19-1456-0

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Abstract

Problems on laser weld quality still remain as vital issue even though the process was done with optimized condition which results the demand on robust monitoring method during the process. Until recently, many methods have been explored and air-borne acoustic are among of methods that have been proven to be able to detect the presence of defect. However, despite detection, it is essential if the type of defect could be identified as it gives different severity level to the development of failure. This work presents the identification of defect during pulse mode laser welding through the analysis of sound. In achieving the goal of this study, bead on plate weld have been done onto the 22MnB5 boron steel plate repeatedly based on 3 different set of experiment with the variation in the level of parameters. Simultaneously, time-series sound signal was acquired along the process before it was converted into frequency spectrum before further analysis. According to the result, it was recorded that the variation of parameters level in pulse mode laser welding process lead to the presence of porosity and crack. Relatively, the trend of sound frequency spectrum were also significantly changes its trend in respond to the parameters level variation. It was discovered that the dominant frequency for the signals acquired from the process which produce good quality weld, porosity and crack recorded the same range which was between 5 to 7 kHz. Uniquely, the existence of porosity could be identified by the occurrence of peak at around 9 kHz while the presence of crack could be recognized by the occurrence of peak at 8 kHz and 11 kHz. This trend was proven to be consistent in repeated experiment according to the result from principal component analysis. Based from the result in this study, it could be conclude that the identification of defect could be done by the analysis of the acquired sound during the process. Significantly, this would expand the ability of acoustic method for quality monitoring purpose as the identification of defect is also important in quality control.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Defect identification; Pulse mode laser welding; Sound frequency spectrum
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery
Faculty/Division:	Institute of Postgraduate Studies Faculty of Mechanical and Automotive Engineering Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	28 Nov 2023 07:29
Last Modified:	28 Nov 2023 07:29
URI:	http://umpir.ump.edu.my/id/eprint/39415
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