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<p>In this review paper, the monitoring techniques applied to laser welding are presented and summarized. An on-line sensing process is proposed and described with the aim of introducing an intelligent manufacturing concept for industrial applications. The laser welding method is characterized by optical, thermal, and even acoustic signals. Consequently, the nature of the process can be used to sense and define operation parameters and analyze phenomena. The obtained data can be analyzed and processed to apply machine learning algorithms that predict and optimize the quality of the final product. Therefore, defining and studying diverse sensing methods and techniques is a particularly important practice regarding intelligent applications and the evolution of welding manufacturing processes.</p>

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Real-time monitoring and optimization techniques for intelligent laser welding in industry 4.0

  • 期刊论文

  • 发表日期：

    2026年2月6日

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  • Joys Silva Rivera,
  • Ahmad Aminzadeh,
  • Pedram Farhadipour,
  • Noureddine Barka,
  • François Nadeau,
  • Abderrazak El Ouafi,
  • Sasan Sattarpanah Karganroudi,
  • Narges Omidi

摘要

In this review paper, the monitoring techniques applied to laser welding are presented and summarized. An on-line sensing process is proposed and described with the aim of introducing an intelligent manufacturing concept for industrial applications. The laser welding method is characterized by optical, thermal, and even acoustic signals. Consequently, the nature of the process can be used to sense and define operation parameters and analyze phenomena. The obtained data can be analyzed and processed to apply machine learning algorithms that predict and optimize the quality of the final product. Therefore, defining and studying diverse sensing methods and techniques is a particularly important practice regarding intelligent applications and the evolution of welding manufacturing processes.