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 …

Laser powder bed fusion parameter selection via machine-learning-augmented process modeling

S Srinivasan, B Swick, MA Groeber - Jom, 2020 - Springer
Laser powder bed fusion additive manufacturing (AM) is a highly active research area in the
materials and manufacturing community, driven by promises of reduced lead time, increased …

A cybermanufacturing and AI framework for laser powder bed fusion (LPBF) additive manufacturing process

M Amini, SI Chang, P Rao - Manufacturing Letters, 2019 - Elsevier
Abstract In Laser Powder Bed Fusion (LPBF) along, more than 50 process parameters are
known to affect print quality. The current state-of-the-art practice in process control only …

Real-time process monitoring and closed-loop control on laser power via a customized laser powder bed fusion platform

R Wang, B Standfield, C Dou, AC Law, ZJ Kong - Additive Manufacturing, 2023 - Elsevier
Additive manufacturing (AM) is one of the most effective ways to fabricate parts with complex
geometries using various materials. However, AM also suffers from printing quality issues …

A meltpool prediction based scan strategy for powder bed fusion additive manufacturing

H Yeung, Z Yang, L Yan - Additive Manufacturing, 2020 - Elsevier
In this study a feedforward control method for laser powder bed fusion additive
manufacturing is demonstrated. It minimizes the meltpool variation by updating the laser …

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 …

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 …

[HTML][HTML] Monitoring of the powder bed quality in metal additive manufacturing using deep transfer learning

FG Fischer, MG Zimmermann, N Praetzsch, C Knaak - Materials & Design, 2022 - Elsevier
Abstract Laser Powder Bed Fusion can be used to additively manufacture complex shapes
directly from metal powder. Achieving reproducible component quality requires a …

Perspectives of using machine learning in laser powder bed fusion for metal additive manufacturing

SL Sing, CN Kuo, CT Shih, CC Ho… - Virtual and Physical …, 2021 - Taylor & Francis
The adoption of laser powder bed fusion (L-PBF) for metals by the industry has been limited
despite the significant progress made in the development of the process chain. One of the …

In situ process monitoring for laser-powder bed fusion using convolutional neural networks and infrared tomography

H Elwarfalli, D Papazoglou, D Erdahl… - 2019 IEEE National …, 2019 - ieeexplore.ieee.org
Additive Manufacturing (AM) is a growing field for various industries of avionics, biomedical,
automotive and manufacturing. The onset of Laser Powder Bed Fusion (LPBF) technologies …