A review of in-situ monitoring and process control system in metal-based laser additive manufacturing

Y Cai, J Xiong, H Chen, G Zhang - Journal of Manufacturing Systems, 2023 - Elsevier
Metal-based laser additive manufacturing (MLAM) is receiving significant attention in
industrial fields due to its capacity to manufacture complex and high-performance metal …

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 …

Registration and fusion of large-scale melt pool temperature and morphology monitoring data demonstrated for surface topography prediction in LPBF

H Zhang, CKP Vallabh, X Zhao - Additive Manufacturing, 2022 - Elsevier
In-situ monitoring technologies for laser powder bed fusion (LPBF) additive manufacturing
often face one key challenge, extracting the ultrafast melt pool (MP) signatures for …

A high-accuracy positioning method for mobile robotic grasping with monocular vision and long-distance deviation

Y Sun, X Wang, Q Lin, J Shan, S Jia, W Ye - Measurement, 2023 - Elsevier
It is difficult for mobile robot to position and grasp large-sized objects accurately because the
vision acquisition camera deviates from the rotation axis of the robot with a long distance …

[HTML][HTML] Optimizing in-situ monitoring for laser powder bed fusion process: Deciphering acoustic emission and sensor sensitivity with explainable machine learning

V Pandiyan, R Wróbel, C Leinenbach… - Journal of Materials …, 2023 - Elsevier
Abstract Metal-based Laser Powder Bed Fusion (LPBF) has made fabricating intricate
components easier. Yet, assessing part quality is inefficient, relying on costly Computed …

Imbalanced data generation and fusion for in-situ monitoring of laser powder bed fusion

J Li, L Cao, H Liu, Q Zhou, X Zhang, M Li - Mechanical Systems and Signal …, 2023 - Elsevier
Laser powder bed fusion (LPBF) can produce near net shape products with complex
geometries. Unfortunately, the LPBF technology still largely suffer from poor part consistency …

Localized keyhole pore prediction during laser powder bed fusion via multimodal process monitoring and X-ray radiography

S Gorgannejad, AA Martin, JW Nicolino, M Strantza… - Additive …, 2023 - Elsevier
Systematic fault detection and control during laser powder bed fusion (L-PBF) has been a
long-standing objective for system manufacturers and researchers in the additive …

Transfer learning-based quality monitoring of laser powder bed fusion across materials

J Li, J Hu, Q Zhou, Y Zhang - Expert Systems with Applications, 2024 - Elsevier
Laser powder bed fusion (LPBF) is a promising additive manufacturing (AM) technique that
has gained rapid growth. Despite the unique advantages such as producing complex …

Uncovering acoustic signatures of pore formation in laser powder bed fusion

JR Tempelman, MK Mudunuru, S Karra… - … International Journal of …, 2024 - Springer
We present a machine learning workflow to discover signatures in acoustic measurements
that can be utilized to create a low-dimensional model to accurately predict the location of …

[HTML][HTML] Microphone signal specialities in laser powder bed fusion: single-track scan and multi-track scan

Z Chen, D Wang, Y Zhang - Journal of Materials Research and Technology, 2023 - Elsevier
Acoustic emission is a promising candidate among online process monitoring methods in
laser powder bed fusion. Although previous studies have demonstrated the feasibility for …