In-situ measurement and monitoring methods for metal powder bed fusion: an updated review
The possibility of using a variety of sensor signals acquired during metal powder bed fusion
processes, to support part and process qualification and for the early detection of anomalies …
processes, to support part and process qualification and for the early detection of anomalies …
[HTML][HTML] Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing
T Herzog, M Brandt, A Trinchi, A Sola… - Journal of Intelligent …, 2024 - Springer
Over the past several decades, metal Additive Manufacturing (AM) has transitioned from a
rapid prototyping method to a viable manufacturing tool. AM technologies can produce parts …
rapid prototyping method to a viable manufacturing tool. AM technologies can produce parts …
Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges
In recent years, machine learning (ML) techniques have been extensively investigated to
strengthen the understanding of the complex process dynamics underlying metal additive …
strengthen the understanding of the complex process dynamics underlying metal additive …
A systematic literature review on recent trends of machine learning applications in additive manufacturing
Additive manufacturing (AM) offers the advantage of producing complex parts more
efficiently and in a lesser production cycle time as compared to conventional subtractive …
efficiently and in a lesser production cycle time as compared to conventional subtractive …
[HTML][HTML] Multi phenomena melt pool sensor data fusion for enhanced process monitoring of laser powder bed fusion additive manufacturing
Finding actionable trends in laser-based metal additive manufacturing process monitoring
data is challenging owing to the diversity and complexity of the underlying physical …
data is challenging owing to the diversity and complexity of the underlying physical …
[HTML][HTML] Applications of machine learning in process monitoring and controls of L-PBF additive manufacturing: A review
One of the main issues hindering the adoption of parts produced using laser powder bed
fusion (L-PBF) in safety-critical applications is the inconsistencies in quality levels …
fusion (L-PBF) in safety-critical applications is the inconsistencies in quality levels …
[HTML][HTML] In-situ infrared thermographic inspection for local powder layer thickness measurement in laser powder bed fusion
The laser powder bed fusion (LPBF) process is strongly influenced by the characteristics of
the powder layer, including its thickness and thermal transport properties. This paper …
the powder layer, including its thickness and thermal transport properties. This paper …
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 …
fabricate high-quality complex-shape components. This technology has significantly …
[HTML][HTML] Anomaly detection in laser powder bed fusion using machine learning: A review
Abstract Metal Additive Manufacturing (MAM) applications are growing rapidly in high-tech
industries such as biomedical and aerospace, and in many other industries including …
industries such as biomedical and aerospace, and in many other industries including …
In situ monitoring methods for selective laser melting additive manufacturing process based on images—A review
B Wu, X Ji, J Zhou, H Yang, D Peng, Z Wang, Y Wu… - China Foundry, 2021 - Springer
Selective laser melting (SLM) has been widely used in the fields of aviation, aerospace and
die manufacturing due to its ability to produce metal components with arbitrarily complex …
die manufacturing due to its ability to produce metal components with arbitrarily complex …