A novel AE algorithm-based approach for the detection of cracks in spot welding in view of online monitoring: case study

Yaacoubi, Slah; Dahmene, Fethi; Mountassir, Mahjoub El; Bouzenad, Abd Ennour

doi:10.1007/s00170-021-07848-z

Cited by 12 publications

(3 citation statements)

References 18 publications

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“…The development of monitoring solutions in Refill FSSW is a key factor for the deployment and acceptance of this process in industry. Acoustic emission (AE) [1] monitoring is the most promising solution that can address this challenge thanks to its history and experience in welding [ 2 , 3 ], which are inspirational. Despite the important interest of researchers on the use of AE in similar process such as friction stir welding (FSW) [ 4 , 5 ], the technology readiness level still below industrial expectations.…”

Section: Data Descriptionmentioning

confidence: 99%

Dataset from healthy and defective spot welds in refill friction stir spot welding using acoustic emission

et al. 2022

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Section: Data Descriptionmentioning

confidence: 99%

Dataset from healthy and defective spot welds in refill friction stir spot welding using acoustic emission

et al. 2022

Self Cite

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“…The AE technique has been applied in some laser welding research to study the influence of different parameters such as laser power, welding speed, and depth of focus on the welding quality [ 20 – 22 ]. In other studies, AE has been used as a tool for predicting welding defects such as hanging slags [ 23 – 25 ]. When applied in additive manufacturing, the AE technique presents more advantages in terms of monitoring [ 26 – 28 ], such as indicating processing quality in laser powder bed fusion [ 29 ], identifying processing state, diagnosing defects in laser cladding [ 30 ], classifying defects in selective laser melting [ 31 , 32 ], and so on.…”

Section: Introductionmentioning

confidence: 99%

Revealing the interaction mechanism of pulsed laser processing with the application of acoustic emission

Liu

Rong

Yang

et al. 2023

Front. Optoelectron.

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The mechanisms of interaction between pulsed laser and materials are complex and indistinct, severely influencing the stability and quality of laser processing. This paper proposes an intelligent method based on the acoustic emission (AE) technique to monitor laser processing and explore the interaction mechanisms. The validation experiment is designed to perform nanosecond laser dotting on float glass. Processing parameters are set differently to generate various outcomes: ablated pits and irregular-shaped cracks. In the signal processing stage, we divide the AE signals into two bands, main and tail bands, according to the laser processing duration, to study the laser ablation and crack behavior, respectively. Characteristic parameters extracted by a method that combines framework and frame energy calculation of AE signals can effectively reveal the mechanisms of pulsed laser processing. The main band features evaluate the degree of laser ablation from the time and intensity scales, and the tail band characteristics demonstrate that the cracks occur after laser dotting. In addition, from the analysis of the parameters of the tail band very large cracks can be efficiently distinguished. The intelligent AE monitoring method was successfully applied in exploring the interaction mechanism of nanosecond laser dotting float glass and can be used in other pulsed laser processing fields. Graphical Abstract

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“…RSW. In addition, under this welding operation condition [5], welding defects (splashes, cracks, and so on) are easy to occur. These problems stem from the point that the physical, mechanical, and electrical properties of zinc coatings are completely different from those of base metal (BM).…”

Section: Introductionmentioning

confidence: 99%

Correlating Electrode Degradation with Weldability of Galvanized BH 220 Steel during Electrode Failure Process of Resistance Spot Welding

Zhao¹,

Vdonin²,

Bezgans³

et al. 2022

Preprint

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Electrode degradation in continuous resistance spot welding process of BH 220 steel was evaluated by electrode life test, and weldability tests were conducted by geometry features measurement, mechanical property analysis, and electrode diameter measurement with 88 or 176 weld intervals. The analysis of weld geometry shows that the HAZ width, nugget diameter, and nugget area tend to decrease rapidly, while the nugget height tends to firstly increase with the weld repetitions till the welding heat input becomes too small to form the valid nugget. The peak load shows a rapid downward trend, while failure energy and maximum displacement slightly increase till the 176th weld and then decrease. The cavities and pores in the nugget mainly appear after the 176th spot weld. The electrode diameter increases during welding. The reason for the increase in electrode diameter may be that the contact area between the electrode and BH 220 steel sheets becomes smaller in the welding process, which causes the continuous sticking phenomenon between the electrode and the BH 220 steel sheets. In the absence of alloying, the edge of the electrode is geometrically deformed, while Cu-Zn-Fe alloying occurs in the area in contact with the BH 220 steel sheet.

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A novel AE algorithm-based approach for the detection of cracks in spot welding in view of online monitoring: case study

Cited by 12 publications

References 18 publications

Dataset from healthy and defective spot welds in refill friction stir spot welding using acoustic emission

Dataset from healthy and defective spot welds in refill friction stir spot welding using acoustic emission

Revealing the interaction mechanism of pulsed laser processing with the application of acoustic emission

Correlating Electrode Degradation with Weldability of Galvanized BH 220 Steel during Electrode Failure Process of Resistance Spot Welding

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