On the application of in-situ monitoring systems and machine learning algorithms for developing quality assurance platforms in laser powder bed fusion: A review

K Taherkhani, O Ero, F Liravi, S Toorandaz… - Journal of Manufacturing …, 2023 - Elsevier
Laser powder bed fusion (LPBF) is one class of metal additive manufacturing (AM) used to
fabricate high-quality complex-shape components. This technology has significantly …

A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion

S Oster, PP Breese, A Ulbricht, G Mohr… - Journal of Intelligent …, 2024 - Springer
The prediction of porosity is a crucial task for metal based additive manufacturing techniques
such as laser powder bed fusion. Short wave infrared thermography as an in-situ monitoring …

An optimized scanning strategy to mitigate excessive heat accumulation caused by short scanning lines in laser powder bed fusion process

Y Liu, J Li, K Xu, T Cheng, D Zhao, W Li, Q Teng… - Additive …, 2022 - Elsevier
During laser powder bed fusion (LPBF) additive manufacturing of components with complex
geometries, short scanning lines easily induce localized excessive heat accumulation …

Qualification pathways for additively manufactured components for nuclear applications

C Hensley, K Sisco, S Beauchamp, A Godfrey… - Journal of Nuclear …, 2021 - Elsevier
This research paper evaluated three pathways for qualification of 316 L stainless steel
components made by laser powder bed fusion additive manufacturing (AM). Comprehensive …

Parameter automatic optimization strategy for laser powder bed fusion using neural network infrared radiation intensity prediction model

Y Liu, J Li, T Cheng, Z Fan, W Li, W Xia, Q Wei - Additive Manufacturing, 2024 - Elsevier
Conventional scanning approaches with fixed laser parameters are prone to causing
localized defects and in-homogeneous performance when forming parts with complicated …

Compression of pulsed infrared thermography data with unsupervised learning for nondestructive evaluation of additively manufactured metals

X Zhang, J Saniie, S Bakhtiari, A Heifetz - IEEE Access, 2022 - ieeexplore.ieee.org
Additive manufacturing (AM) of high-strength metals, which is typically based on laser
powder bed fusion (LPBF), can introduce microscopic pores in the AM metal. Pulsed Infrared …

Characterization and Rationalization of Microstructural Evolution in GRCop-84 Processed by Laser-Powder Bed Fusion (L-PBF)

RP Minneci, MP Haines, PR Gradl, DL Ellis… - … Materials Transactions A, 2024 - Springer
Abstract Prismatic geometries of GRCop-84 [Cu-8Cr-4Nb (at. pct)] were built with laser-
powder bed fusion (L-PBF) process. The samples were sectioned parallel or perpendicular …

Research on the Consistency Evaluation of the Spindle Unit Stiffness Based on Comprehensive Weights

F Sun, Y Jiang, R Zhou, Q Zhang, F Xu, C Zhao… - Machines, 2024 - mdpi.com
The spindle unit is the core component of a machine, and its stiffness is a key performance
characteristic. The stiffness consistency is a key index to measure the stiffness of spindle …

Investigation of the thermal history of L-PBF metal parts by feature extraction from in-situ SWIR thermography

S Oster, C Maierhofer, G Mohr… - Thermosense …, 2021 - spiedigitallibrary.org
Laser powder bed fusion is used to create near net shape metal parts with a high degree of
freedom in geometry design. When it comes to the production of safety critical components …

Summary of Methodology for Mitigating Risks Associated with Licensing and Qualifying AM Nuclear Materials

HC Hyer, DC Sweeney, CM Petrie - 2023 - osti.gov
The US Department of Energy's Advanced Materials and Manufacturing Technologies
(AMMT) program focuses on accelerating the development, qualification, demonstration …