Process-structure multi-objective inverse optimisation for additive manufacturing of lattice structures using a physics-enhanced data-driven method

Additive manufacturing (AM) has become a practical solution for fabricating lightweight and high-strength metallic lattice structures. The inverse optimisation of process-structure parameters to achieve high performance and minimised trial-and-error experiments has presented a persistent challenge....

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Autors principals:	Keyu Shi, Dongdong Gu, He Liu, Yusheng Chen, Kaijie Lin
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2023-12-01
Col·lecció:	Virtual and Physical Prototyping
Matèries:	additive manufacturing machine learning physics-enhanced gaussian process multi-objective optimisation inverse design
Accés en línia:	http://dx.doi.org/10.1080/17452759.2023.2266641
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