Towards the next generation of machine learning models in additive manufacturing: A review of process dependent material evolution
Additive manufacturing facilitates producing of complex parts due to its design freedom in a
wide range of applications. Despite considerable advancements in additive manufacturing …
wide range of applications. Despite considerable advancements in additive manufacturing …
Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing
T Herzog, M Brandt, A Trinchi, A Sola… - Journal of Intelligent …, 2024 - Springer
Over the past several decades, metal Additive Manufacturing (AM) has transitioned from a
rapid prototyping method to a viable manufacturing tool. AM technologies can produce parts …
rapid prototyping method to a viable manufacturing tool. AM technologies can produce parts …
[HTML][HTML] On the maintenance of processing stability and consistency in laser-directed energy deposition via machine learning
M Wang, N Kashaev - Journal of Manufacturing Systems, 2024 - Elsevier
In lateral wire-based laser-directed energy deposition, conveying shielding gas through the
wire feed nozzle devastates the processing stability, which results in a geometrical deviation …
wire feed nozzle devastates the processing stability, which results in a geometrical deviation …
A review of the parameter-signature-quality correlations through in situ sensing in laser metal additive manufacturing
Laser metal additive manufacturing (LMAM) is a significant part of the advanced
manufacturing industry. The technology enables the production of complex parts via layer-by …
manufacturing industry. The technology enables the production of complex parts via layer-by …
Analysis and optimization of laser cladding Ti-B4C composite coatings based on the interaction and GABP-NSGAII algorithm
D Xiang, D Wang, S Wang, L Yan, Y Chen - Surface and Coatings …, 2024 - Elsevier
Laser cladding process parameters are important to the quality of cladding layer, but the
interaction between parameters is not clear. In this work, the effects of parameters …
interaction between parameters is not clear. In this work, the effects of parameters …
An augmented surprise-guided sequential learning framework for predicting the melt pool geometry
Abstract Metal Additive Manufacturing (MAM) has transformed the manufacturing landscape,
bringing notable benefits such as intricate design capabilities, minimal material wastage …
bringing notable benefits such as intricate design capabilities, minimal material wastage …
Defect detection by multi-axis infrared process monitoring of laser beam directed energy deposition
T Herzog, M Brandt, A Trinchi, A Sola… - Scientific Reports, 2024 - nature.com
Laser beam directed energy deposition (DED-LB) is an attractive additive manufacturing
technique to produce versatile and complex 3D structures on demand, apply a cladding, or …
technique to produce versatile and complex 3D structures on demand, apply a cladding, or …
Off-axis monitoring of the melt pool spatial information in Laser Metal Deposition process
Abstract Laser Metal Deposition (LMD) is one of the most promising Additive Manufacturing
(AM) technologies for the fabrication, coating and repair of metal components. Although, due …
(AM) technologies for the fabrication, coating and repair of metal components. Although, due …
MPTP-Net: melt pool temperature profile network for thermal field modeling in beam shaping of laser powder bed fusion
To thoroughly investigate the impact of beam shaping on melt pool behavior and accurately
predict the microstructure and mechanical properties of the final product in laser powder bed …
predict the microstructure and mechanical properties of the final product in laser powder bed …
In-Situ Monitoring and Innovative Feature Fusion Neural Network for Enhanced Laser Directed Energy Deposition Track Geometry Prediction and Control
The printed quality of laser-directed energy deposition (L-DED) technology is significantly
influenced by the characteristics of the molten pool. Therefore, it is crucial to perform in situ …
influenced by the characteristics of the molten pool. Therefore, it is crucial to perform in situ …