Application of compressed air in the online monitoring of surface roughness and grinding wheel wear when grinding Ti-6Al-4V titanium alloy

This work aimed to improve the surface quality and precision in machining process and speed up intelligent production. Hence, this work proposed a grinding process from a control perspective which provides a cognitive decision-making process. From this viewpoint, a new approach to measure the amount...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal of advanced manufacturing technology 2019-04, Vol.101 (5-8), p.1315-1331
Hauptverfasser:	Yin, Shaohui, Nguyen, DuyTrinh, Chen, FengJun, Tang, Qingchun, Duc, Le Anh
Format:	Artikel
Sprache:	eng
Schlagworte:	Abrasive wear Air monitoring Algorithms Artificial neural networks CAE) and Design Ceramics industry Compressed air Computer-Aided Engineering (CAD Confidence intervals Decision making Empirical analysis Engineering Fuzzy logic Grinding wheels Industrial and Production Engineering Machining Mechanical Engineering Media Management Neural networks Original Article Rapid prototyping Regression analysis Statistical analysis Surface properties Surface roughness Titanium alloys Titanium base alloys
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!