A technology maturity assessment framework for industry 5.0 machine vision systems based on systematic literature review in automotive manufacturing

FK Konstantinidis, N Myrillas, KA Tsintotas… - … Journal of Production …, 2023 - Taylor & Francis
When considering how an intelligent factory can 'see,'the answer lies in machine vision
technology. To assess the current technological advancements of machine vision systems …

[HTML][HTML] In-process and post-process strategies for part quality assessment in metal powder bed fusion: A review

C Chua, Y Liu, RJ Williams, CK Chua… - Journal of Manufacturing …, 2024 - Elsevier
An increasing number of metal components processed by additive manufacturing (AM) are
now being used in industrial applications. However, in the most demanding applications …

Effect of hard and soft re-coater blade on porosity and processability of thin walls and overhangs in laser powder bed fusion additive manufacturing

J Reijonen, A Revuelta, S Metsä-Kortelainen… - … International Journal of …, 2024 - Springer
Spreading powder into thin layers is a fundamental step in the laser powder bed fusion (PBF-
LB) additive manufacturing process. This step is called re-coating and it is typically …

An optical-based method to estimate the oxygen content in recycled metal powders for additive manufacturing

TP Le, X Wang, M Seita - Additive Manufacturing, 2022 - Elsevier
Powder recycling is key to enable sustainable and economically viable production of metal
parts by fusion-based additive manufacturing (AM) processes. Determining the recyclability …

Imaging systems and techniques for fusion-based metal additive manufacturing: a review

H Balhara, A Karthikeyan, A Hanchate… - Frontiers in …, 2023 - frontiersin.org
This study presents an overview and a few case studies to explicate the transformative
power of diverse imaging techniques for smart manufacturing, focusing largely on various in …

Multi-source information fusion for enhanced in-process quality monitoring of laser powder bed fusion additive manufacturing

T Shen, B Li, J Zhang, F Xuan - Additive Manufacturing, 2024 - Elsevier
Defects such as lack of fusion, porosity, and keyhole generated during the laser powder bed
fusion (L-PBF) additive manufacturing process pose a challenge, with the absence of …

Multiresolution quality inspection of layerwise builds for metal 3D printer and scanner

H Yang, J Reijonen, A Revuelta - Journal of …, 2023 - asmedigitalcollection.asme.org
Automated optical inspection (AOI) is increasingly advocated for in situ quality monitoring of
additive manufacturing (AM) processes. The availability of layerwise imaging data improves …

Engineering-guided deep learning of melt-pool dynamics for additive manufacturing quality monitoring

S Zhang, H Yang, Z Yang, Y Lu - … of Computing and …, 2024 - asmedigitalcollection.asme.org
Additive manufacturing (AM) fabricates three-dimensional parts via layer-by-layer deposition
and solidification of materials. Due to the complexity of this process, advanced sensing is …

[HTML][HTML] The surface morphologies and internal pores evolution of a CuSn10 alloy fabricated by laser powder bed fusion

T Chen, L Yang, Y Huang, S Zhao, W Wu, H Ma… - Journal of Materials …, 2024 - Elsevier
The fabrication of high quality copper alloys using laser powder bed fusion (LPBF)
technology remains challenging due to their low laser absorption and high thermal …

In Situ Defect Detection in Selective Laser Melting using a Multi-feature Fusion Method

X Lin, A Shen, D Ni, JYH Fuh, K Zhu - IFAC-PapersOnLine, 2023 - Elsevier
Defects in each layer during selective laser melting (SLM) process are closely associated
with the final forming quality and performance of the part. The in-situ monitoring of the layer …