Process monitoring, diagnosis and control of additive manufacturing
Additive manufacturing (AM) can build up complex parts in a layer-by-layer manner, which is
a kind of novel and flexible production technology. The special manufacturing capability of …
a kind of novel and flexible production technology. The special manufacturing capability of …
[HTML][HTML] Laser powder bed additive manufacturing: A review on the four drivers for an online control
F Lupi, A Pacini, M Lanzetta - Journal of Manufacturing Processes, 2023 - Elsevier
Abstract Online control of Additive Manufacturing (AM) processes appears to be the next
challenge in the transition toward Industry 4.0 (I4. 0). Although many efforts have been …
challenge in the transition toward Industry 4.0 (I4. 0). Although many efforts have been …
DynamicPrint: A physics-guided feedforward model predictive process control approach for defect mitigation in laser powder bed fusion additive manufacturing
A Riensche, B Bevans, A Carrington Jr… - Additive …, 2025 - Elsevier
In this work, we developed and applied a physics-guided autonomous feedforward model
predictive process control approach called DynamicPrint to mitigate part defects in laser …
predictive process control approach called DynamicPrint to mitigate part defects in laser …
Real-Time Melt Pool Homogenization Through Geometry-Informed Control in Laser Powder Bed Fusion Using Reinforcement Learning
This paper presents a real-time geometry-informed control strategy to homogenize melt pool
measurements in laser powder bed fusion (L-PBF) using reinforcement learning. The …
measurements in laser powder bed fusion (L-PBF) using reinforcement learning. The …
A Distributed AM Architecture with Digital Twin for L-PBF Cluster
In additive manufacturing (AM), achieving real-time quality assessment using edge devices
is challenging due to the interdependency of modules and the continuous influx of image …
is challenging due to the interdependency of modules and the continuous influx of image …
Development of a Testbench for Additive Manufacturing Data Integration, Management, and Analytics
Abstract The NIST Additive Manufacturing (AM) Data Integration Testbench is a platform
designed to evaluate data models, communication methods, and data analytics for AM …
designed to evaluate data models, communication methods, and data analytics for AM …
Predicting of Process Parameters for Theoretical Concentrated Stress of Fatigue Notch Coefficient of Auto Parts Using Virtual Recognizable Performance Evaluation …
H Chang, S Lu, Y Sun, G Zhang - Polymers, 2022 - mdpi.com
This paper analyzes the structure of the key parts of the car belt guide, and the average
stress of the vulnerable parts is simulated by analysis software. The theoretical stress of the …
stress of the vulnerable parts is simulated by analysis software. The theoretical stress of the …