Optimization of Machining Parameters in Milling Process of Inconel 718 under Surface Roughness Constraints

The objective of this research is to investigate the feasibility of utilizing the Elman neural network to predict the surface roughness in the milling process of Inconel 718 and then optimizing the cutting parameters through the particle swarm optimization (PSO) algorithm according to the different...

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Detalhes bibliográficos

Principais autores:	Tian-Yau Wu, Chi-Chen Lin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-02-01
coleção:	Applied Sciences
Assuntos:	Inconel 718 slot milling surface roughness prediction Elman neural network particle swarm optimization cutting parameter optimization
Acesso em linha:	https://www.mdpi.com/2076-3417/11/5/2137
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