Analysis of Acoustic Emission Signals During Laser Spot Welding of SS304 Stainless Steel

Lee, Seounghwan; Ahn, Suneung; Park, Changsoon

doi:10.1007/s11665-013-0791-9

Cited by 34 publications

(13 citation statements)

References 10 publications

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“…Spectrometers can provide the information on the species coming out of the weld pool and potentially plasma temperature, thus providing indirect information about the weld condition [385]. Acoustic sensors have also been used with limited success in detecting welding quality [386][387][388] but are sensitive to the distance and environment.…”

Section: -16 / Vol 142 November 2020mentioning

confidence: 99%

Overview of Laser Applications in Manufacturing and Materials Processing in Recent Years

Shin

Lei

et al. 2020

Journal of Manufacturing Science and Engineering

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Recent years have witnessed a rapid growth of the laser market. Figure 1 shows the recent revenues of laser sales with about 50% increase in revenue over recent four years , which far exceeds the growth of other industrial sectors. More than one third of this revenue belongs to the category of laser materials processing arena. Undoubtedly, lasers have been playing increasingly important roles in various industrial manufacturing sectors. This article is to capture some of important developments in the rapidly growing areas of laser-based manufacturing and materials processing and also describe important technological issues pertaining to various laser-based manufacturing processes. The topics to be covered in this paper include more popularly used processes in industry such as laser additive manufacturing, laser-assisted machining, laser micromachining, laser forming, laser surface texturing, laser welding, and laser shock peening, although there are several additional areas of laser applications. In each section, a brief overview of the process is provided, followed by critical issues in implementing the process, such as properties, predictive modeling, and process monitoring, and finally some remarks on future issues that can guide researchers and practitioners.

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Section: -16 / Vol 142 November 2020mentioning

confidence: 99%

Overview of Laser Applications in Manufacturing and Materials Processing in Recent Years

Shin

Lei

et al. 2020

Journal of Manufacturing Science and Engineering

View full text Add to dashboard Cite

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“…At the end, the author noted that the acoustic sensing techniques, as described in the paper, could be applied to in-process monitoring and control systems for laser processes, evaluating the quality of the inspected welds. One step further, the authors in [51] selected acoustic emissions for the feedback signal of an inprocess monitoring scheme for a pulsed Nd:YAG laser spot welding (LSW). Acoustic emission data were sampled and analyzed for varying process conditions, such as laser power and pulse duration.…”

Section: Acoustic Emission Techniquesmentioning

confidence: 99%

“…Based on the experiments performed, an artificial neural network (ANN) was also constructed for the diagnosis of welding faults. The quality characterization of laser welds, based on acoustical signals, has been also studied in [51,114] and [52], integrating ANN and multiple regression methods and investigating the penetration as a quality measure. [100] Another interesting approach that implements a different inspection technology is introduced in [115].…”

Section: Empirical Modelingmentioning

confidence: 99%

Quality assessment in laser welding: a critical review

Stavridis

Papacharalampopoulos

Stavropoulos

2017

Int J Adv Manuf Technol

182

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Quality assessment methods and techniques for laser welding have been developed both in-and post-process. This paper summarizes and presents relevant studies being classified according to the technology implemented (vision, camera, acoustic emissions, ultrasonic testing (UT), eddy current technique (ECT)) for the quality inspection. Furthermore, the current review aims to map the existing modeling approaches used to correlating measured weld characteristics and defects with the process parameters. Research gaps and implications of the quality assessment in laser welding are also described, and a future outlook of the research in the particular field is provided.

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“…and acoustic emission acquisition [6]. Moreover, as welding processes are extremely complicated by themselves due to the extensive number of underlying physical phenomena, it has been recently stated the need of sensor combination or fusion to fully address the defects generated during the joining process [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

A calibration tool for weld penetration depth estimation based on dimensional and thermal sensor fusion

Zalakain-Azpiroz

Rodriguez

Yedra

et al. 2021

Int J Adv Manuf Technol

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Weld quality monitoring and assessment in industrial robotic arc welding processes is key to ensure suitability of a component for the intended application. In particular, weld penetration depth is as a major fabrication requirement that has to be addressed. Several alternatives have been proposed based on the use of individual monitoring techniques, but, due to the physical challenges of the welding process and accessibility restrictions to the weld root, multi-sensor approaches have been recently developed. These methods require the adoption of complex setups or calibration strategies. In this work, a multi-sensor approach is proposed to create a calibration tool for weld penetration depth assessment, overcoming physical accessibility restrictions and enabling depth evaluation instantaneously, opening the gate for online usage.

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Analysis of Acoustic Emission Signals During Laser Spot Welding of SS304 Stainless Steel

Cited by 34 publications

References 10 publications

Overview of Laser Applications in Manufacturing and Materials Processing in Recent Years

Overview of Laser Applications in Manufacturing and Materials Processing in Recent Years

Quality assessment in laser welding: a critical review

A calibration tool for weld penetration depth estimation based on dimensional and thermal sensor fusion

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