Prediction of surface roughness using spectral analysis and image comparison of audio signals-Reference-Cited by-同舟云学术

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Prediction of surface roughness using spectral analysis and image comparison of audio signals

Published:2016-06 Issue:6 Volume:17 Page:709-715
ISSN:2234-7593
Container-title:International Journal of Precision Engineering and Manufacturing
language:en
Short-container-title:Int. J. Precis. Eng. Manuf.

Author:

Panneer R.,Harisubramanyabalaji S. P.,Sribalaji C. A.,Vivek A.,Vigneshwaran G.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s12541-016-0088-7.pdf

Reference19 articles.

1. Benardos, P. G. and Vosniakos, G.-C., “Predicting Surface Roughness in Machining: A Review,” International Journal of Machine Tools and Manufacture, Vol. 43, No. 8, pp. 833–844, 2003.

2. Elmas, S., Islam, N., Jackson, M., and Parkin, R., “Analysis of Profile Measurement Techniques Employed to Surfaces Planed by an Active Machining System,” Measurement, Vol. 44, No. 2, pp. 365–377, 2011.

3. Mignot, J. and Gorecki, C., “Measurement of Surface Roughness: Comparison between a Defect-of-Focus Optical Technique and the Classical Stylus Technique,” Wear, Vol. 87, No. 1, pp. 39–49, 1983.

4. Davinci, M. A., Parthasarathi, N., Borah, U., and Albert, S. K., “Effect of the Tracing Speed and Span on Roughness Parameters Determined by Stylus Type Equipment,” Measurement, Vol. 48, pp. 368–377, 2014.

5. Bjuggren, M., Krummenacher, L., and Mattsson, L., “Noncontact Surface Roughness Measurement of Engineering Surfaces by Total Integrated Infrared Scattering,” Precision Engineering, Vol. 20, No. 1, pp. 33–45, 1997.

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