On-Line Monitoring the Hard Turning Using Distribution Parameters of Acoustic Emission Signal

J. Bhaskaran

doi:10.4028/www.scientific.net/AMM.787.907

Paper Titles

Regeneration Using C-Dump Fed Switched Reluctance Generator
p.883

Design and Implementation of Perturb and Observe (P&O) MPPT Technique for Negative Output Super-Lift Luo Converter
p.888

A Fuzzy Logic Controlled Single Axis Solar Tracking System
p.893

Damage Detection in Laminated Composite Beams, Plates and Shells Using Dynamic Analysis
p.901

On-Line Monitoring the Hard Turning Using Distribution Parameters of Acoustic Emission Signal
p.907

Flaw Quantification in Colmonoy Overlays Using Immersion Ultrasonic Testing
p.912

Design of a Vision Based Bottle Cap Inspection System
p.917

Image Processing Techniques to Analyse a 3D Model
p.922

Fault Diagnosis of Centrifugal Pump and Vibration Control Using Shape Memory Alloy Based ATDVA
p.927

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 787On-Line Monitoring the Hard Turning Using...

On-Line Monitoring the Hard Turning Using Distribution Parameters of Acoustic Emission Signal

Abstract:

In hard turning, tool wear of cutting tool crossing the limit is highly undesirable because it adversely affects the surface finish. Hence continuous, online tool wear monitoring during the process is essential. The analysis of Acoustic Emission (AE) signal generated during conventional machining has been studied by many investigators for understanding the process of metal cutting and tool wear phenomena. In this experimental study on hard turning, the skew and kurtosis parameters of root mean square values of AE signal (AE_RMS) have been used for online monitoring of a Cubic Boron Nitride (CBN) tool wear.

You might also be interested in these eBooks

Alternative Energy Sources, Materials and Technologies

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 787)

Pages:

907-911

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.787.907

Citation:

Cite this paper

Online since:

August 2015

Authors:

J. Bhaskaran*

Keywords:

Acoustic-Emission, CBN, Kurtosis, Monitoring, Roughness, Skew, Turning, Wear

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] F. A Farrelly, A. Petri, L. Pitolli, G. Pontuale, A. Tangliani, and P. L. Novi Inverardi, Statistical properties of acoustic emission signals from metal cutting process, Acou. Soc. of America (2004) 981-986.

DOI: 10.1121/1.1764831

Google Scholar

[2] E. K Asibu, and D. A. Dornfeld, A study of tool wear using statistical analysis of metal cutting, Acou. Emission, Wear. 76 (1982) 247-261.

DOI: 10.1016/0043-1648(82)90009-6

Google Scholar

[3] D. A Dornfeld, and E. K. Asibu, Acoustic emission during orthogonal metal cutting, Int J. of Mech Sci. 22 (1980) 285-296.

DOI: 10.1016/0020-7403(80)90029-6

Google Scholar

[4] J. M Zhou, M. Andersson, and J.E. Stahl, The monitoring of flank wear on the CBN tool in the hard turning, Int J. of Advanced Manu. Tech. 22 (2003) 697- 702.

DOI: 10.1007/s00170-003-1569-2

Google Scholar

[5] D Shi, and N. N. Gindy, Development of an online machining Process monitoring system: application in hard turning, Sensor and Act. 135 (2007) 405-415.

DOI: 10.1016/j.sna.2006.08.011

Google Scholar