A Comprehensive Review of In-Situ Monitoring and Post-Process Defect Detection in Additive Manufacturing

Authors
  • Tunji J. ERINLE

    Author

  • Daniel C. UGURU-OKORIE

    Author

  • Abiodun M. ADEBIMPE

    Author

  • Adeolu A. ADEDIRAN

    Author

  • Hilary U. EZEA

    Author

Keywords:
Additive manufacturing, In-situ monitoring, Post-process inspection, Defect detection, Non-destructive testing, Quality assurance, Process control.
Abstract

Additive manufacturing (AM) technology has revolutionised the creation of metal and polymer parts within aerospace, biomedical, automotive, and energy industries; however, susceptibility to defects has hindered certification and implementation within industry. This study provides a critical review of in-situ monitoring and post-processing defect detection methods within AM. In contrast to the existing review literature which solely discusses techniques by domestic, this study aims to add value by providing a Technology Readiness Level (TRL) rating (1-9) of 12 techniques, a unique defect-technique mapping approach with detectability ratings (1-5), and an innovative decision framework with an ability to minimise the amount of post-processing inspections by up to 40-60%. The defects, including porosity, lack of fusion, cracking, delamination, and distortion, are classified according to powder bed fusion, directed energy deposition, and extrusion-based methods of additive manufacturing. Some of the main gaps revealed in this review include a lack of validated fusion models, certification pathways allowing for the use of in-situ data, and low industry TRL (3-4) for combined multisensor monitoring systems. Future research areas include benchmarking data sets, standards within ASTM F42/ISO/ASTM 52900, and closed-loop control systems.

References
Cover Image
Downloads
Published
18-05-2026
Section
Articles
License

Copyright (c) 2026 FUDMA Journal of Engineering and Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

[1]
Tunji J. ERINLE, Daniel C. UGURU-OKORIE, Abiodun M. ADEBIMPE, Adeolu A. ADEDIRAN, and Hilary U. EZEA, “A Comprehensive Review of In-Situ Monitoring and Post-Process Defect Detection in Additive Manufacturing”, FJET, vol. 2, no. 1, pp. 744–767, May 2026, doi: 10.33003/wwes1737.

Similar Articles

1-10 of 101

You may also start an advanced similarity search for this article.