Towards the next generation of machine learning models in additive manufacturing: A review of process dependent material evolution

M Parsazadeh, S Sharma, N Dahotre - Progress in Materials Science, 2023 - Elsevier
Additive manufacturing facilitates producing of complex parts due to its design freedom in a
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 …

[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 …

A review of the parameter-signature-quality correlations through in situ sensing in laser metal additive manufacturing

J Ye, A Bab-Hadiashar, N Alam, I Cole - The International Journal of …, 2023 - Springer
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 …

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 …

An augmented surprise-guided sequential learning framework for predicting the melt pool geometry

AS Raihan, H Khosravi, TH Bhuiyan, I Ahmed - Journal of Manufacturing …, 2024 - Elsevier
Abstract Metal Additive Manufacturing (MAM) has transformed the manufacturing landscape,
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 …

Off-axis monitoring of the melt pool spatial information in Laser Metal Deposition process

MG Guerra, M Mazzarisi, M Latte, F Lavecchia… - Procedia CIRP, 2024 - Elsevier
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 …

MPTP-Net: melt pool temperature profile network for thermal field modeling in beam shaping of laser powder bed fusion

S Xu, R Rai, RD Moore, G Orlandi… - Journal of Intelligent …, 2024 - Springer
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 …

In-Situ Monitoring and Innovative Feature Fusion Neural Network for Enhanced Laser Directed Energy Deposition Track Geometry Prediction and Control

M Yu, L Zhu, Z Yang, J Ning - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …