A soft computing-based study on WEDM optimization in processing Inconel 625

This work presents an examination of the wire electric discharge machining (WEDM) in processing Inconel 625. The major WEDM variables (pulse-on time, pulse-off time, servo voltage, wire feed rate) were experimentally investigated to address multiple aspects of this process, namely to reduce the gap...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Neural computing & applications 2021-09, Vol.33 (18), p.11985-12006
Hauptverfasser:	Sibalija, Tatjana V., Kumar, Sandeep, Patel, G C Manjunath, Jagadish
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computing time Cutting speed Data Mining and Knowledge Discovery Electric discharge machining Evolutionary algorithms Feed rate Heuristic methods Image Processing and Computer Vision Machine learning Neural networks Nickel base alloys Optimization Original Article Particle swarm optimization Probability and Statistics in Computer Science Soft computing Superalloys Surface roughness Wire
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!