On-line detection of grinding burn by integrated sensing

Author

Saravanapriyan, S. N Arul ; Vijayaraghavan, L. ; Krishnamurthy, Ram

Author_Institution

Dept. of Mech. Eng., Indian Inst. of Technol., Madras, India

fYear

2001

fDate

2001

Firstpage

89

Lastpage

94

Abstract

The increasing demand for quality products necessarily needs complete automation and close monitoring of manufacturing processes. Especially final finishing processes like grinding, which is prone to cause several quality related problems to ground surface like grinding burn; a colour change which seriously affects surface integrity of the ground material, has to be controlled effectively. This paper presents an on-line monitoring technique for identifying grinding burn through integrated sensor and an intelligent burn prediction method is suggested using Artificial Neural Network (ANN)

Keywords

computerised monitoring; condition monitoring; electric sensing devices; grinding; intelligent sensors; neural nets; predictive control; process control; sensor fusion; tool steel; acoustic emission sensor; artificial neural network; automation; colour change; final finishing; force sensor; grinding burn; integrated sensor; intelligent burn prediction; monitoring; on-line monitoring; optical temperature sensor; vibration sensor; Artificial intelligence; Artificial neural networks; Automatic control; Color; Computerized monitoring; Intelligent networks; Intelligent sensors; Manufacturing automation; Manufacturing processes; Surface finishing;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensors for Industry, 2001. Proceedings of the First ISA/IEEE Conference

Conference_Location

Rosemont, IL

Print_ISBN

0-7803-6659-X

Type

conf

DOI

10.1109/SFICON.2001.968505

Filename

968505