Process optimization of complex geometries using feed forward control for laser powder bed fusion additive manufacturing

CL Druzgalski, A Ashby, G Guss, WE King… - Additive …, 2020 - Elsevier
Additive manufacturing (AM) enables the fabrication of complex designs that are difficult to
create by other means. Metal parts manufactured by laser powder bed fusion (LPBF) can …

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 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 …

Model-based feedforward control of laser powder bed fusion additive manufacturing

Q Wang, PP Michaleris, AR Nassar, JE Irwin, Y Ren… - Additive …, 2020 - Elsevier
Control of laser power to improve part quality is critical for fabrication of complex
components via Laser Powder Bed Fusion (LPBF) additive manufacturing (AM) processes. If …

Part geometry and conduction-based laser power control for powder bed fusion additive manufacturing

H Yeung, B Lane, J Fox - Additive manufacturing, 2019 - Elsevier
Laser powder bed fusion (LPBF) uses a focused, high power laser to repeatedly scan
geometric patterns on thin layers of metal powder, which build up to a final, solid three …

Thermal control of laser powder bed fusion using deep reinforcement learning

F Ogoke, AB Farimani - Additive Manufacturing, 2021 - Elsevier
Powder-based additive manufacturing techniques provide tools to construct intricate
structures that are difficult to manufacture using conventional methods. In Laser Powder Bed …

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 …

Gaussian process-based surrogate modeling framework for process planning in laser powder-bed fusion additive manufacturing of 316L stainless steel

G Tapia, S Khairallah, M Matthews, WE King… - … International Journal of …, 2018 - Springer
Abstract Laser Powder-Bed Fusion (L-PBF) metal-based additive manufacturing (AM) is
complex and not fully understood. Successful processing for one material, might not …

[HTML][HTML] On the effect of shielding gas flow on porosity and melt pool geometry in laser powder bed fusion additive manufacturing

J Reijonen, A Revuelta, T Riipinen, K Ruusuvuori… - Additive …, 2020 - Elsevier
Metal additive manufacturing is moving from rapid prototyping to on-demand manufacturing
and even to serial production. Consistent part quality and development of a wider range of …

Implementation of advanced laser control strategies for powder bed fusion systems

H Yeung, BM Lane, MA Donmez, JC Fox, J Neira - Procedia Manufacturing, 2018 - Elsevier
Laser path, scan speed, and laser power are critical machine parameters for determining the
quality of the output of laser-based powder bed fusion (LPBF) processes. A jerk-limited …