Automatic quality assessments of laser powder bed fusion builds from photodiode sensor measurements

S Jayasinghe, P Paoletti, C Sutcliffe, J Dardis… - Progress in Additive …, 2022 - Springer
While Laser powder bed fusion (L-PBF) machines have greatly improved in recent years, the
L-PBF process is still susceptible to several types of defect formation. Among the monitoring …

Semi-supervised machine learning of optical in-situ monitoring data for anomaly detection in laser powder bed fusion

NV Nguyen, AJW Hum, T Do, T Tran - Virtual and Physical …, 2023 - Taylor & Francis
Laser powder bed fusion (L-PBF) is one of the most widely used metal additive
manufacturing technology for fabrication of functional and structural components. However …

Digital twins for rapid in-situ qualification of part quality in laser powder bed fusion additive manufacturing

BD Bevans, A Carrington, A Riensche, A Tenequer… - Additive …, 2024 - Elsevier
This work concerns the laser powder bed fusion (LPBF) additive manufacturing process.
Currently, LPBF parts are inspected post-process using such techniques as X-ray computed …

Heterogeneous sensing and scientific machine learning for quality assurance in laser powder bed fusion–A single-track study

A Gaikwad, B Giera, GM Guss, JB Forien… - Additive …, 2020 - Elsevier
Abstract Laser Powder Bed Fusion (LPBF) is the predominant metal additive manufacturing
technique that benefits from a significant body of academic study and industrial investment …

On the application of in-situ monitoring systems and machine learning algorithms for developing quality assurance platforms in laser powder bed fusion: A review

K Taherkhani, O Ero, F Liravi, S Toorandaz… - Journal of Manufacturing …, 2023 - Elsevier
Laser powder bed fusion (LPBF) is one class of metal additive manufacturing (AM) used to
fabricate high-quality complex-shape components. This technology has significantly …

Applications of machine learning in process monitoring and controls of L-PBF additive manufacturing: A review

D Mahmoud, M Magolon, J Boer, MA Elbestawi… - Applied Sciences, 2021 - mdpi.com
One of the main issues hindering the adoption of parts produced using laser powder bed
fusion (L-PBF) in safety-critical applications is the inconsistencies in quality levels …

Photodiode-based machine learning for optimization of laser powder bed fusion parameters in complex geometries

S Lapointe, G Guss, Z Reese, M Strantza… - Additive …, 2022 - Elsevier
The quality of parts produced through laser powder bed fusion additive manufacturing can
be irregular, with complex geometries sometimes exhibiting dimensional inaccuracies and …

A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing

J Liu, J Ye, D Silva Izquierdo, A Vinel… - Journal of Intelligent …, 2023 - Springer
Laser beam powder bed fusion (LB-PBF) is a widely-used metal additive manufacturing
process due to its high potential for fabrication flexibility and quality. Its process and …

[HTML][HTML] A machine learning guided investigation of quality repeatability in metal laser powder bed fusion additive manufacturing

DJ Huang, H Li - Materials & Design, 2021 - Elsevier
Additive manufacturing has entered the phase of industrial adoption, for which its quality
repeatability is of vital importance to industries where functional parts with consistent …

Toward in-situ flaw detection in laser powder bed fusion additive manufacturing through layerwise imagery and machine learning

Z Snow, B Diehl, EW Reutzel, A Nassar - Journal of Manufacturing Systems, 2021 - Elsevier
Process monitoring in additive manufacturing may allow components to be certified cheaply
and rapidly and opens the possibility of healing defects, if detected. Here, neural networks …