August 1, 2025Open Access

Evaluating in-situ melt pool monitoring for defects detection in laser powder bed fusion

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Authors

MMMuhammad Hassan Maqsood SWSami WestmanLappeenranta-Lahti University of Technology IPIlkka PoutiainenLappeenranta-Lahti University of Technology

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Implication

Investigation reveals melt pool monitoring effectively identifies thermal anomalies in laser powder bed fusion, suggesting enhancements through sensor fusion.

Key Points

Melt pool monitoring successfully identifies thermal anomalies related to heat accumulation and conduction issues.
The study focused on two cases of geometric features, with melt pool monitoring detecting defects in materials like IN718.
Testing correlated grey value intensity and deviation data with visual inspection to enhance defect detection.
Integration of sensor fusion and machine learning is necessary to improve defect classification and control.

Cite This Study

Maqsood et al. (2025) studied this question.

synapsesocial.com/papers/68af2ef0cf1dd9ea359e6cf0 https://doi.org/10.1088/1757-899x/1332/1/012028

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Implication

Investigation reveals melt pool monitoring effectively identifies thermal anomalies in laser powder bed fusion, suggesting enhancements through sensor fusion.

Evaluating in-situ melt pool monitoring for defects detection in laser powder bed fusion

Discussion

Member takes

Implication

Key Points

Cite This Study

Evaluating in-situ melt pool monitoring for defects detection in laser powder bed fusion

Discussion

Member takes

Implication

Key Points

Cite This Study

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