Uncertainty quantification for additive manufacturing process improvement: recent advances
This paper reviews the state of the art in applying uncertainty quantification (UQ) methods to
additive manufacturing (AM). Physics-based as well as data-driven models are increasingly …
additive manufacturing (AM). Physics-based as well as data-driven models are increasingly …
A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures
Part quality manufactured by the laser powder bed fusion process is significantly affected by
porosity. Existing works of process–property relationships for porosity prediction require …
porosity. Existing works of process–property relationships for porosity prediction require …
Knowledge-transfer-enabled porosity prediction for new part geometry in laser metal deposition
Data-driven porosity prediction in Laser Metal Deposition (LMD) is mainly done with
supervised machine learning methods. These methods require labeled thermal signatures …
supervised machine learning methods. These methods require labeled thermal signatures …
Smart process map** of powder bed fusion additively manufactured metallic wicks using surrogate modeling
Powder bed fusion is an innovative additive manufacturing (AM) technique to achieve
metallic wick structures for efficient two-phase thermal management systems. However, a …
metallic wick structures for efficient two-phase thermal management systems. However, a …
Probabilistic digital twin for additive manufacturing process design and control
This paper proposes a detailed methodology for constructing an additive manufacturing
(AM) digital twin for the laser powder bed fusion (LPBF) process. An important aspect of the …
(AM) digital twin for the laser powder bed fusion (LPBF) process. An important aspect of the …
Mitigation of Gas Porosity in Additive Manufacturing Using Experimental Data Analysis and Mechanistic Modeling
Shielding gas, metal vapors, and gases trapped inside powders during atomization can
result in gas porosity, which is known to degrade the fatigue strength and tensile properties …
result in gas porosity, which is known to degrade the fatigue strength and tensile properties …
[PDF][PDF] 激光粉末床熔融增材制造过程智能监控研究进展与挑战
激光粉末床熔融(Laser powder bed fusion, LPBF) 增材制造逐渐成为难加工金属构件快速,
低成本, 高性能, 短周期制造的“潜力股”, 被认为是使用最为广泛的金属增材制造技术之一 …
低成本, 高性能, 短周期制造的“潜力股”, 被认为是使用最为广泛的金属增材制造技术之一 …
Probabilistic Data-Driven Modeling of a Melt Pool in Laser Powder Bed Fusion Additive Manufacturing
The widespread adoption of laser powder bed fusion (LPBF) additive manufacturing is
hampered by process unreliability problems. Modeling the melt pool behavior in LPBF is …
hampered by process unreliability problems. Modeling the melt pool behavior in LPBF is …
Multi-fidelity Modeling for Uncertainty Quantification in Laser Powder Bed Fusion Additive Manufacturing
Computer simulation of the additive manufacturing (AM) process involves multi-physics,
multi-scale models. These sophisticated higher fidelity (HF) AM models, though more …
multi-scale models. These sophisticated higher fidelity (HF) AM models, though more …
Review of digital twin methods for additive manufacturing
M Dezhuang, Y Weidong, CAI Zixing… - Computer Integrated …, 2024 - cims-journal.cn
Additive manufacturing (AM) can provide reliable data support for digital twin model with its
all-digital processing mode. Digital twins help AM give full play to its advantages different …
all-digital processing mode. Digital twins help AM give full play to its advantages different …