Advances in Online Detection Technology for Laser Additive Manufacturing: A Review

  • Rui Li Zu
  • , Dong Liang Wu
  • , Jiang Fan Zhou
  • , Zhan Wei Liu*
  • , Hui Min Xie
  • , Sheng Liu*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

8 Citations (Scopus)

Abstract

In additive manufacturing (AM), the mechanical properties of manufactured parts are often insufficient due to complex defects and residual stresses, limiting their use in high-value or mission-critical applications. Therefore, the research and application of nondestructive testing (NDT) technologies to identify defects in AM are becoming increasingly urgent. This article reviews the recent progress in online detection technologies in AM, a special introduction to the high-speed synchrotron X-ray technology for real-time in situ observation, and analysis of defect formation processes in the past 5 years, and also discusses the latest research efforts involving process monitoring and feedback control algorithms. The formation mechanism of different defects and the influence of process parameters on defect formation, important parameters such as defect spatial resolution, detection speed, and scope of application of common NDT methods, and the defect types, advantages, and disadvantages associated with current online detection methods for monitoring three-dimensional printing processes are summarized. In response to the development requirements of AM technology, the most promising trends in online detection are also prospected. This review aims to serve as a reference and guidance for the work to identify/select the most suitable measurement methods and corresponding control strategy for online detection.

Original languageEnglish
Pages (from-to)467-489
Number of pages23
Journal3D Printing and Additive Manufacturing
Volume10
Issue number3
DOIs
Publication statusPublished - 1 Jun 2023

Keywords

  • additive manufacturing
  • online detection
  • process monitoring and feedback control algorithms

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