Search Results - "Masinelli, Giulio"
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Deep Learning for In Situ and Real-Time Quality Monitoring in Additive Manufacturing Using Acoustic Emission
Published in IEEE transactions on industrial informatics (01-09-2019)“…Additive manufacturing (AM) is considered as a revolution in manufacturing. However, the high expectations face technical difficulties that prevent further…”
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Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance
Published in Scientific reports (25-02-2020)“…Laser welding is a key technology for many industrial applications. However, its online quality monitoring is an open issue due to the highly complex nature of…”
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Differentiation of materials and laser powder bed fusion processing regimes from airborne acoustic emission combined with machine learning
Published in Virtual and physical prototyping (03-04-2022)“…This study investigates the use of a low cost microphone combined with state-of-the-art machine learning (ML) algorithms as online process monitoring to…”
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Semi-supervised Monitoring of Laser powder bed fusion process based on acoustic emissions
Published in Virtual and physical prototyping (04-07-2021)“…Metal-based Laser Powder Bed Fusion (LPBF) suffers from a lack of repeatability and is challenging to model, making their quality monitoring essential and…”
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Monitoring of functionally graded material during laser directed energy deposition by acoustic emission and optical emission spectroscopy using artificial intelligence
Published in Virtual and physical prototyping (31-12-2023)“…Laser directed energy deposition (L-DED) allows the production of multi-materials and functionally graded material (FGM) parts. But for commercialisation,…”
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SPARE: A Spectral Peak Recovery Algorithm for PPG Signals Pulsewave Reconstruction in Multimodal Wearable Devices
Published in Sensors (Basel, Switzerland) (13-04-2021)“…The photoplethysmographic (PPG) signal is an unobtrusive blood pulsewave measure that has recently gained popularity in the context of the Internet of Things…”
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Harmonizing sound and light: X-ray imaging unveils acoustic signatures of stochastic inter-regime instabilities during laser melting
Published in Nature communications (05-12-2023)“…Laser powder bed fusion (LPBF) is a metal additive manufacturing technique involving complex interplays between vapor, liquid, and solid phases. Despite LPBF’s…”
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Adaptive Laser Welding Control: A Reinforcement Learning Approach
Published in IEEE access (2020)“…Despite extensive research efforts in the field of laser welding, the imperfect repeatability of the weld quality still represents an open topic. Indeed, the…”
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Author Correction: Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance
Published in Scientific reports (04-06-2020)“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
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Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process
Published in Journal of materials processing technology (01-05-2022)“…The defective regimes in metal-based Laser Powder Bed Fusion (LPBF) processes can be minimized by deploying in-situ monitoring strategies comprising Machine…”
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Acoustic emission for the prediction of processing regimes in Laser Powder Bed Fusion, and the generation of processing maps
Published in Additive manufacturing (05-04-2023)“…The Laser Power Bed Fusion (LPBF) process is of high interest to many industries, such as motors and vehicles, robotics, biomedical applications, aerospace,…”
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Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance
Published in Additive manufacturing (01-10-2022)“…Harnessing the full potential of the metal-based Laser Powder Bed Fusion process (LPBF) relies heavily on how effectively the overall reliability and stability…”
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Monitoring of Direct Energy Deposition Process Using Manifold Learning and Co-Axial Melt Pool Imaging
Published in Manufacturing letters (01-09-2022)“…The parts manufactured by Additive Manufacturing (AM) techniques such as Directed Energy Deposition (DED) are generally quantified by post-process inspection…”
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When am (additive manufacturing) meets ae (acoustic emission) and AI (artificial intelligence)
Published in E-journal of Nondestructive Testing (01-01-2023)“…Acoustic Emission (AE) is an effective method to monitor and control the quality in different technical processes and phenomena, including tribology and…”
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Self-Aware Machine Learning for Multimodal Workload Monitoring during Manual Labor on Edge Wearable Sensors
Published in IEEE design and test (01-10-2020)“…Editor's notes: This article discusses self-awareness in wearable edge devices to enable real-time and long-term health monitoring. The authors use the notion…”
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