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Virtual and Physical Prototyping
Volume 19, 2024 - Issue 1
Research Article
Qualify-as-you-go: sensor fusion of optical and acoustic signatures with contrastive deep learning for multi-material composition monitoring in laser powder bed fusion process
Vigneashwara Pandiyana Laboratory for Advanced Materials Processing (LAMP), Swiss Federal Laboratories for Materials Science and Technology (Empa), Thun, Switzerland;b Additive Manufacturing Group, Advanced Materials Research Center, Technology Innovation Institute (TII), Masdar City, United Arab Emirates
https://orcid.org/0000-0001-6043-5696View further author information
https://orcid.org/0000-0001-6043-5696View further author information, Antonios Baganisa Laboratory for Advanced Materials Processing (LAMP), Swiss Federal Laboratories for Materials Science and Technology (Empa), Thun, Switzerland;c Laboratory for Photonic Materials and Characterization, Ecole Polytechnique Federale de LausanneLausanne, SwitzerlandCorrespondence[email protected]
https://orcid.org/0009-0006-2366-9294View further author information
https://orcid.org/0009-0006-2366-9294View further author information, , &