Critical Review of LPBF Metal Print Defects Detection: Roles of Selective Sensing Technology

Donna Guillen, Scott Wahlquist, Amir Ali

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

The integrative potential of LPBF-printed parts for various innovative applications depends upon the robustness and infallibility of the part quality. Eliminating or sufficiently reducing factors contributing to the formation of defects is an integral step to achieving satisfiable part quality. Significant research efforts have been conducted to understand and quantify the triggers and origins of LPBF defects by investigating the material properties and process parameters for LPBF-printed geometries using various sensing technologies and techniques. Frequently, combinations of sensing techniques are applied to deepen the understanding of the investigated phenomena. The main objectives of this review are to cover the roles of selective sensing technologies by (1) providing a summary of LPBF metal print defects and their corresponding causes, (2) informing readers of the vast number and types of technologies and methodologies available to detect defects in LPBF-printed parts, and (3) equipping readers with publications geared towards defect detection using combinations of sensing technologies. Due to the large pool of developed sensing technology in the last few years for LPBF-printed parts that may be designed for targeting a specific defect in metal alloys, the article herein focuses on sensing technology that is common and applicable to most common defects and has been utilized in characterization for an extended period with proven efficiency and applicability to LPBF metal parts defect detection.

Original languageEnglish
Article number6718
JournalApplied Sciences (Switzerland)
Volume14
Issue number15
Early online dateAug 1 2024
DOIs
StatePublished - Aug 1 2024

Keywords

  • additive manufacturing
  • defect classification
  • defect detection
  • laser powder bed fusion (LPBF)
  • sensing technologies

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