Machining feature recognition based on deep neural networks to support tight integration with 3D CAD systems

Abstract Recently, studies applying deep learning technology to recognize the machining feature of three-dimensional (3D) computer-aided design (CAD) models are increasing. Since the direct utilization of boundary representation (B-rep) models as input data for neural networks in terms of data struc...

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Autores principales: Changmo Yeo, Byung Chul Kim, Sanguk Cheon, Jinwon Lee, Duhwan Mun
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/557a425a39c54308ac5e8ef538e14b62
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