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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Tian-Yau Wu, Chi-Chen Lin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2021-02-01
Schriftenreihe:	Applied Sciences
Schlagworte:	Inconel 718 slot milling surface roughness prediction Elman neural network particle swarm optimization cutting parameter optimization
Online-Zugang:	https://www.mdpi.com/2076-3417/11/5/2137
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!