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 …

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 …

Feedforward control of thermal history in laser powder bed fusion: Toward physics-based optimization of processing parameters

A Riensche, BD Bevans, Z Smoqi, R Yavari… - Materials & Design, 2022 - Elsevier
We developed and applied a model-driven feedforward control approach to mitigate thermal-
induced flaw formation in laser powder bed fusion (LPBF) additive manufacturing process …

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 …

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 …

[HTML][HTML] Surrogate modeling of melt pool temperature field using deep learning

AP Hemmasian, F Ogoke, P Akbari, J Malen… - Additive Manufacturing …, 2023 - Elsevier
Powder-based additive manufacturing has transformed the manufacturing industry over the
last decade. In the Laser Powder Bed Fusion (L-PBF) process, a specific part is built in an …

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 …

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 …

Residual stress reduction and surface quality improvement of dual-laser powder bed fusion

Y Wang, C Chen, Y Qi, H Zhu - Additive Manufacturing, 2023 - Elsevier
Laser powder bed fusion (LPBF) is a widely used technology in additive manufacturing, but
existing in-situ stress relief methods often fail to provide satisfactory results. To address this …