A digital twin hierarchy for metal additive manufacturing
Digital twins present a conceptual framework for product life-cycle monitoring and control
using a simulated replica of the physical system. Since their emergence, they have garnered …
using a simulated replica of the physical system. Since their emergence, they have garnered …
Applications of machine learning in process monitoring and controls of L-PBF additive manufacturing: A review
One of the main issues hindering the adoption of parts produced using laser powder bed
fusion (L-PBF) in safety-critical applications is the inconsistencies in quality levels …
fusion (L-PBF) in safety-critical applications is the inconsistencies in quality levels …
Part geometry and conduction-based laser power control for powder bed fusion additive manufacturing
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 …
geometric patterns on thin layers of metal powder, which build up to a final, solid three …
Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing
Melt-pool monitoring (MPM) has been widely used in the laser powder bed fusion (LPBF)
additive manufacturing process for process control and part quality prediction. Achieving this …
additive manufacturing process for process control and part quality prediction. Achieving this …
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 …
structures that are difficult to manufacture using conventional methods. In Laser Powder Bed …
Keyhole pores reduction in laser powder bed fusion additive manufacturing of nickel alloy 625
Keyhole pores are common in additively manufactured parts and can badly deteriorate the
part's performance. In this study, we demonstrated that the keyhole pores formation in the …
part's performance. In this study, we demonstrated that the keyhole pores formation in the …
Investigation of deep learning for real-time melt pool classification in additive manufacturing
Consistent melt pool geometry is an indicator of a stable laser powder bed fusion (L-PBF)
additive manufacturing process. Melt pool size and shape reflect the impact of process …
additive manufacturing process. Melt pool size and shape reflect the impact of process …
A meltpool prediction based scan strategy for powder bed fusion additive manufacturing
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 …
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
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 …
geometries using various materials. However, AM also suffers from printing quality issues …
A residual heat compensation based scan strategy for powder bed fusion additive manufacturing
Typical scan strategies for laser powder bed fusion (LPBF) additive manufacturing systems
apply a constant laser power and scan speed. Localized preheating from adjacent scan …
apply a constant laser power and scan speed. Localized preheating from adjacent scan …