Machine cutting tool condition monitoring system of aeroplane material processing based on cellular neural networks

Author

Liu, Xiaolin ; Yuan, Kun

Author_Institution

Coll. of Aeronaut. Autom., Civil Aviation Univ. of China, Tianjin, China

Volume

2

fYear

2012

fDate

18-20 May 2012

Firstpage

1072

Lastpage

1075

Abstract

Because that the rupture and wear of the machine cutting tool of the aeroplane material processing is difficult to be found and monitored, in this paper a monitoring system of machine cutting tool wear condition is designed. The system uses a CCD camera to shoot the image of the cutting tool. Base on the cellular neural networks algorithm, the image is processed and compared with the normal image in order to identify the condition of the cutting tool. The experimental results show that the system is rational and effective.

Keywords

CCD image sensors; aerospace computing; aerospace materials; aircraft; cellular neural nets; condition monitoring; cutting tools; fracture; image processing; machine tools; production engineering computing; wear; CCD camera; aeroplane material processing; cellular neural network; image processing; machine cutting tool condition monitoring system; machine cutting tool wear condition; rupture; Monitoring; Smoothing methods; aeroplane material; cellular neural networks; condition monitoring; cutting tool;

fLanguage

English

Publisher

ieee

Conference_Titel

Measurement, Information and Control (MIC), 2012 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4577-1601-0

Type

conf

DOI

10.1109/MIC.2012.6273485

Filename

6273485