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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Autores principales:	Keyu Shi, Dongdong Gu, He Liu, Yusheng Chen, Kaijie Lin
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Taylor & Francis Group 2023-12-01
Colección:	Virtual and Physical Prototyping
Materias:	additive manufacturing machine learning physics-enhanced gaussian process multi-objective optimisation inverse design
Acceso en línea:	http://dx.doi.org/10.1080/17452759.2023.2266641
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