[HTML][HTML] Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process …
Additive manufacturing (AM) processes have proven to be a perfect match for topology
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …
[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …
resulting in vast amounts of data that carry valuable information. Numerous research studies …
On the application of in-situ monitoring systems and machine learning algorithms for developing quality assurance platforms in laser powder bed fusion: A review
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 …
fabricate high-quality complex-shape components. This technology has significantly …
Machine learning in manufacturing towards industry 4.0: From 'for now'to 'four-know'
While attracting increasing research attention in science and technology, Machine Learning
(ML) is playing a critical role in the digitalization of manufacturing operations towards …
(ML) is playing a critical role in the digitalization of manufacturing operations towards …
[HTML][HTML] Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing
In metal additive manufacturing (AM), the material microstructure and part geometry are
formed incrementally. Consequently, the resulting part could be defect-and anomaly-free if …
formed incrementally. Consequently, the resulting part could be defect-and anomaly-free if …
[HTML][HTML] In-process and post-process strategies for part quality assessment in metal powder bed fusion: A review
An increasing number of metal components processed by additive manufacturing (AM) are
now being used in industrial applications. However, in the most demanding applications …
now being used in industrial applications. However, in the most demanding applications …
Machine learning models for efficient characterization of Schottky barrier photodiode internal parameters
We propose ANN-based models to analyze and extract the internal parameters of a Schottky
photodiode (SPD) without presenting them with any knowledge of the highly nonlinear …
photodiode (SPD) without presenting them with any knowledge of the highly nonlinear …
Imbalanced data generation and fusion for in-situ monitoring of laser powder bed fusion
Laser powder bed fusion (LPBF) can produce near net shape products with complex
geometries. Unfortunately, the LPBF technology still largely suffer from poor part consistency …
geometries. Unfortunately, the LPBF technology still largely suffer from poor part consistency …
[HTML][HTML] A novel machine learning-based approach for in-situ surface roughness prediction in laser powder-bed fusion
Controlling and optimizing surface roughness remain a significant challenge in laser powder
bed fusion (LPBF). Surface roughness affects printed part quality, particularly fatigue life …
bed fusion (LPBF). Surface roughness affects printed part quality, particularly fatigue life …
Photodiode-based porosity prediction in laser powder bed fusion considering inter-hatch and inter-layer effects
Z Tao, A Thanki, L Goossens, A Witvrouw… - Journal of Materials …, 2024 - Elsevier
Laser powder bed fusion, while promising, faces hurdles in certifying fabricated parts due to
cost and complexity, with in-process monitoring emerging as a potential solution. Existing …
cost and complexity, with in-process monitoring emerging as a potential solution. Existing …