Feb 25, 2020 · This paper proposes a deep learning-based quality identification method for metal AM process. To alleviate the requirement for large amounts of high-quality ...
This paper proposes a deep learning-based quality identification method for metal AM process. To alleviate the requirement for large amounts of high-quality ...
Abstract: As a promising modern technology, additive manufacturing (AM) has been receiving increasing research and industrial attention in the recent years.
Additive manufacturing (AM) technique in which a laser beam is used to fuse metal powder by melting it as it is deposited, layer by layer.
Scime, L., & Beuth, J. (2019). Using machine learning to identify in-situ melt pool signatures indicative of flaw formation in a laser powder bed fusion ...
Towards an instant structure-property prediction quality control tool for additive manufactured steel using a crystal plasticity trained deep learning surrogate.
Jun 6, 2024 · Our work is a feasibility study of the application of unsupervised machine learning to monitor different manufacturing regimes and quality in metal additive ...
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PDF | This work presents an in-situ quality assessment and improvement technique using point cloud and AI for data processing and smart decision making.
This article reviews common defects and research challenges associated with manufacturing different metal and alloy components using the WAAM process.
Impact of Machine Learning on Metal Additive Manufacturing
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Mar 25, 2024 · Machine learning is undeniably shaping the future of metal additive manufacturing. By enhancing process modeling, quality control, and design capabilities.
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