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Editorial

New Frontiers of Laser Welding Technology

1
Department of Mechanical and Material Engineering, Portland State University, Portland, OR 97201, USA
2
Welding and Joining R&D Group, Korea Institute of Industrial Technology, 156, Getbeol-ro, Yeonsu-gu, Incheon 21999, Republic of Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(3), 1840; https://doi.org/10.3390/app13031840
Submission received: 11 January 2023 / Accepted: 28 January 2023 / Published: 31 January 2023
(This article belongs to the Special Issue New Frontiers of Laser Welding Technology)
With the advances in power sources and optic technologies, high-power laser welding has been utilized in many applications such as automotive, battery manufacturing, and electronic industries. The low-heat input of laser power and its precise control enables minimal thermal damage and geometric inaccuracy in the weldment. Recently, laser welding has evolved in combination with machine learning, monitoring and control technology, new materials, and new processes.
This Special Issue aims to present the recent advances in the development in innovative laser welding technologies based on new laser power sources, laser optics, systems, and monitoring technologies. A total of six papers are presented in this Special Issue.
Lee et al. [1] suggested a methodology to quantify the contamination of coupling glass during vacuum laser welding. Vacuum laser welding is a combination of laser welding and a vacuum environment that results in a deeper penetration and enhanced stability compared with the conventional laser welding under the atmosphere. The developed contamination index was cited in successive studies [2,3,4] to optimize vacuum laser welding. Pang et al. [5] introduced laser beam oscillation on a 5056 aluminum alloy. Beam oscillation could improve the appearance and depress spatter formation. Moreover, a weld microstructure with a fine grain and uniform dendrite distribution was achieved by proper beam oscillation patterns. In the mechanical test, the elongation was significantly more enhanced than the linear laser welds. Kim et al. [6] proposed the equivalent strain method to predict the welding deformation of a large structure. In simulations to predict the welding deformation in a large welding structure, time-efficient analysis methods are necessary, and the inherent strain methods were suggested as the most suitable tool in their study. The developed method showed a much smaller analysis time than the thermal elastic–plastic analysis method and a more accurate analysis than the equivalent load method. Park et al. [7] demonstrated the effect of gravity on the weld pool and metallurgical behavior. In flat, overhead, and vertical down positions, high-speed photography and welding signal acquisition revealed that the direction of gravity influenced the droplet transfer, weld pool flow, and bead shapes, thus determining the microstructure and hardness profile. Maina et al. [8] invested the effect of surface shape and roughness on the laser welding of a copper alloy. Although copper laser welding has an important role in automotive and renewable energy industries, copper has a high thermal conductivity and low laser absorptivity, which causes unstable welds and spatter generation. They exhibited that concave holes and a surface roughness variation could stabilize copper laser welding, and an optimized surface texture could increase the weld penetration and surface quality. Gomes et al. [9] published a valuable review on the laser welding of vascular and nervous tissues in this Special Issue. They reviewed the process variables for the successful laser welding of vascular and nervous tissues. Strategies to avoid thermal damage and increase the bonding strength were introduced from the references.
Laser welding will continue to expand in high-power and high-precision application fields. In order to apply laser welding to new materials such as non-ferrous metals, non-metals, and organic materials, new laser power sources, laser optics, and processes will become new research topics for laser welding scientists and engineers.

Author Contributions

Writing—original draft preparation, K.-E.M. and J.-W.J.; writing—review and editing, C.K. All authors have read and agreed to the published version of the manuscript.

Funding

We acknowledge financial and technical support provided by the Korea Institute of Industrial Technology (EH-22-060).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The editors would like to thank all the authors and peer reviewers for their valuable contributions to this Special Issue ‘New Frontiers of Laser Welding Technology’.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lee, Y.; Cheon, J.; Min, B.-K.; Kim, C. Contamination of coupling glass and performance evaluation of protective system in vacuum laser beam welding. Appl. Sci. 2019, 9, 5082. [Google Scholar] [CrossRef] [Green Version]
  2. Lee, Y.; Cheon, J.; Min, B.-K.; Kim, C. Modelling of fume particle behaviour and coupling glass contamination during vacuum laser beam welding. Sci. Technol. Weld. Joining 2022, 27, 1–13. [Google Scholar] [CrossRef]
  3. Lee, Y.; Cheon, J.; Min, B.-K.; Kim, C. Contamination suppression of coupling glass during vacuum laser welding. Sci. Technol. Weld. Joining 2022, 27, 541–552. [Google Scholar] [CrossRef]
  4. Lee, Y.; Cheon, J.; Min, B.-K.; Kim, C. Optimization of gas shielding for the vacuum laser beam welding of Ti–6Al–4 V titanium alloy. Int. J. Adv. Manuf. Technol. 2022, 123, 1297–1305. [Google Scholar] [CrossRef]
  5. Pang, X.; Dai, J.; Chen, S.; Zhang, M. Microstructure and Mechanical Properties of Fiber Laser Welding of Aluminum Alloy with Beam Oscillation. Appl. Sci. 2019, 9, 5096. [Google Scholar] [CrossRef] [Green Version]
  6. Kim, Y.; Kim, J.; Kang, S. A Study on Welding Deformation Prediction for Ship Blocks Using the Equivalent Strain Method Based on Inherent Strain. Appl. Sci. 2019, 9, 4906. [Google Scholar] [CrossRef] [Green Version]
  7. Park, J.-H.; Kim, S.-H.; Moon, H.-S.; Kim, M.-H. Influence of Gravity on Molten Pool Behavior and Analysis of Microstructure on Various Welding Positions in Pulsed Gas Metal Arc Welding. Appl. Sci. 2019, 9, 4626. [Google Scholar] [CrossRef] [Green Version]
  8. Maina, M.; Okamoto, Y.; Inoue, R.; Nakashiba, S.-I.; Okada, A.; Sakagawa, T. Influence of Surface State in Micro-Welding of Copper by Nd:YAG Laser. Appl. Sci. 2018, 8, 2364. [Google Scholar] [CrossRef] [Green Version]
  9. Gomes, D.F.; Galvão, I.; Loja, M.A.R. Overview on the Evolution of Laser Welding of Vascular and Nervous Tissues. Appl. Sci. 2019, 9, 2157. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Min, K.-E.; Jang, J.-W.; Kim, C. New Frontiers of Laser Welding Technology. Appl. Sci. 2023, 13, 1840. https://doi.org/10.3390/app13031840

AMA Style

Min K-E, Jang J-W, Kim C. New Frontiers of Laser Welding Technology. Applied Sciences. 2023; 13(3):1840. https://doi.org/10.3390/app13031840

Chicago/Turabian Style

Min, Kyung-Eun, Jae-Won Jang, and Cheolhee Kim. 2023. "New Frontiers of Laser Welding Technology" Applied Sciences 13, no. 3: 1840. https://doi.org/10.3390/app13031840

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