Study on Acoustic Emission and Power Signals in Precision Cylindrical Plunge Grinding

Chen Jiang; Hao Lin Li; Yun Fei Mai; Yu Lun Chi

doi:10.4028/www.scientific.net/AMM.313-314.1270

Paper Titles

Based on the Max038 Digital Function Signal Generator Design
p.1252

Time Series Preprocessing and Forecasting Based on EMD
p.1256

An Arc Fault Current Interrupter Based on Wavelet Transformation
p.1262

Reliable Sample and Order-Based Repeatable Analysis of Unstable Signal of Automobile Transmission
p.1266

Study on Acoustic Emission and Power Signals in Precision Cylindrical Plunge Grinding
p.1270

Performance Improvement of Digital Phase Locked Loop Algorithm Using all Pass Filter and Low Pass Filter for Grid Connected Inverter Reference
p.1274

Research on Interpolation Algorithm for DSSS Signal Receiver
p.1279

Research on Coal and Gangue Identification Method Based on Infrared Thermal Wave Detection
p.1285

Connected Stability Analysis of Delay Systems via the Matrix-Valued Lyapunov Function
p.1288

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 313-314Study on Acoustic Emission and Power Signals in...

Study on Acoustic Emission and Power Signals in Precision Cylindrical Plunge Grinding

Abstract:

This paper is focused on the application of acoustic emission (AE) based monitoring systems to grinding processes. To develop the AE signal model for the process monitoring, a comparison between the AE and power signals is presented. The AE model is developed according to a traditional grinding force model. Based on the developed model, experiment indicates the AE signal is similar to the power of spindle and verifies the proposed AE model can be used to predict the AE root meam square (RMS) signal for monitoring the grinding process.

You might also be interested in these eBooks

Machinery Electronics and Control Engineering II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 313-314)

Pages:

1270-1273

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.313-314.1270

Citation:

Cite this paper

Online since:

March 2013

Authors:

Chen Jiang, Hao Lin Li, Yun Fei Mai, Yu Lun Chi

Keywords:

Acoustic Emission (AE), Cylindrical Grinding, Grinding Power, Process Monitoring

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] M.J Chen, D. Li, S. Dong: Research on a Large Depth-todiameter Ratio Ultra-Precision Aspheric Griding System, Journal of Materials Processing Technology, Vol.129, (2002), pp.91-95.

DOI: 10.1016/s0924-0136(02)00582-4

Google Scholar

[2] T. Tawakoli: Developments in grinding process monitoring and evaluation of results, International Journal of Mechatronics and Manufacturing Systems, Vol.1, No.4, (2008), pp.307-320.

DOI: 10.1504/ijmms.2008.023221

Google Scholar

[3] S.Y. Liang, R.L. Hecker, R.G. Landers: Machining process monitoring and control: The State-of-the-Art, Journal of Manufacturing Science and Engineering, Vol.126, (2004), pp.297-310.

DOI: 10.1115/1.1707035

Google Scholar

[4] E.R. Marsh, A.W. Moerlein, T.R.S. Deakyne, M.J.V. Doren: In-Process Measurement of Form Error and Force in Cylindrical-Plunge Grinding, Precision Engineering, Vol.32, (2008), pp.348-352.

DOI: 10.1016/j.precisioneng.2008.02.001

Google Scholar

[5] X.Chen, W.B. Rowe, B. Mills, D.R. Allanson: Analysis and simulation of the grinding process. Part III. Comparison with experiment. Int J Mach Tools Manuf, Vol.36, No8, (1996), pp.897-906.

DOI: 10.1016/0890-6955(96)00118-6

Google Scholar