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Laser Intelligent Welding and Quality Assessment

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (10 October 2022) | Viewed by 2236

Special Issue Editor

School of Traffic & Transportation Engineering, Central South University, Changsha, China
Interests: intelligent rail transit equipment; laser additive manufacturing and welding; laser processing multiphase flow simulation; laser intelligent welding and quality assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The laser welding is increasingly used in a variety of industries, e.g., rail transportation, automotive, marine, power plants, biomedical micro-electro-mechanical systems (MEMS), BioMEMS devices, etc. This Special Issue is focused on the challenges and opportunities faced by laser intelligent welding and quality assessment. Better understanding of the intelligent algorithms and quality assessment methodologies used in the laser welding is of great significance for achieving the welding process with high quality. Multi-disciplinary discussion and debate about the welding intelligent algorithms, welding process, welding quality assessment methodologies and welded joints performance are encouraged.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: Laser welding; Welding intelligent algorithms; Welding modeling; Welded joints performance.    

I look forward to receiving your contributions.

Dr. Yuewei Ai
Guest Editor

Manuscript Submission Information

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Keywords

  • laser welding
  • welding intelligent algorithms
  • new welding process
  • welding defects
  • welding modeling
  • welding process simulation
  • high speed welding
  • welded joints performance
  • intelligent welding
  • quality assessment

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Published Papers (1 paper)

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Research

13 pages, 5022 KiB  
Article
The Analysis of Energy Distribution Characteristics of Molten Pool in Welding of Aluminum Alloy with Oscillating Laser
by Yuewei Ai, Yachao Yan, Long Yu and Jian Cheng
Sustainability 2023, 15(8), 6868; https://doi.org/10.3390/su15086868 - 19 Apr 2023
Cited by 7 | Viewed by 1671
Abstract
The energy distribution in molten pool is highly related to the quality of the weld formation in aluminum alloy welding. The forming defects in the weld are often improved by adjusting the molten pool dynamic behaviors affected by energy distribution. Therefore, the energy [...] Read more.
The energy distribution in molten pool is highly related to the quality of the weld formation in aluminum alloy welding. The forming defects in the weld are often improved by adjusting the molten pool dynamic behaviors affected by energy distribution. Therefore, the energy distribution characteristics in the molten pool during the welding of aluminum alloy with oscillating laser in the “∞” shaped path are explored in this paper. The pore defects are found to be greatly reduced in welds from the oscillating laser welding of aluminum alloy compared to those from non-oscillating laser welding. The corresponding distribution characteristics of energy in the molten pool of welding with oscillating laser are obtained and analyzed. The dynamic behaviors and forming process of welds under welding conditions of different distribution characteristics of energy in the molten pool are discussed. The obtained results are in good agreement with the experimental results. Therefore, the proposed method can provide the desired energy distribution for stable dynamic behaviors of molten pool to improve welding quality. Full article
(This article belongs to the Special Issue Laser Intelligent Welding and Quality Assessment)
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