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Advancements in In-Situ Monitoring Technologies for Detecting Process-Induced Defects in the Directed Energy

Md Jonaet Ansari1,2, Anthony Roccisano1,2, Elias J G Arcondoulis3

  • 1Future Industries Institute, University of South Australia, Mawson Lakes, SA 5095, Australia.

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|September 27, 2025
PubMed
Summary
This summary is machine-generated.

In-situ process monitoring detects defects in laser-based directed energy deposition for metallic materials (DED-LB/M), improving repeatability and quality for additive manufacturing applications.

Keywords:
defectsdirected energy depositionin-situ monitoring technique

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Area of Science:

  • Materials Science and Engineering
  • Additive Manufacturing
  • Process Monitoring

Background:

  • Laser-based directed energy deposition for metallic materials (DED-LB/M) is a key additive manufacturing (AM) technique for coatings, component repair, and complex structures.
  • Process-induced defects hinder DED-LB/M repeatability, stability, and widespread adoption in high-quality industries.
  • In-situ process monitoring offers real-time defect detection to address these challenges.

Purpose of the Study:

  • To conduct a comparative analysis of in-situ monitoring techniques for DED-LB/M.
  • To evaluate the effectiveness of these techniques in identifying process-induced defects.
  • To critically analyze the limitations of current defect detection methods.

Main Methods:

  • Categorization of sensing methods based on sensor data format and data processing techniques.
  • Assessment of techniques for detecting both surface and internal defects.
  • Comparative analysis of different in-situ monitoring approaches.

Main Results:

  • Various in-situ monitoring techniques show potential for real-time defect detection in DED-LB/M.
  • The effectiveness varies based on sensor data format, processing, and defect type (surface vs. internal).
  • Limitations in current techniques impact their industrial applicability.

Conclusions:

  • In-situ monitoring is crucial for mitigating defects in DED-LB/M.
  • Significant challenges remain in implementing these techniques for industrial DED-LB/M.
  • Future research should focus on overcoming these challenges to enhance industrial adoption.