Study on Ground Surface Roughness of Engineering Ceramics Based on Grayscale Information

Xin Li Tian; Jian Quan Wang; Fang Guo; Ke Ling Lin

doi:10.4028/www.scientific.net/AMR.429.9

Paper Titles

Preface and Organizing Committee

Numerical Simulation of Temperature for Al₂O₃Ceramics during Micro-Detonation of Arc Strike Machining
p.3

Study on Ground Surface Roughness of Engineering Ceramics Based on Grayscale Information
p.9

Solid Modeling and Motion Characteristics Analysis of Oval Gear Pair Based on the Tooth Profile Conversion Method
p.14

Research on the Mechanism of Extending Artillery Barrel Life by Electrical Explosion Spraying Technology
p.19

The Application of Fuzzy FMEA in the Development of New Product Decision-Making - A Case Study of the Solar Module Industry
p.25

Laboratory of Flexible Manufacturing System
p.31

Soluble-Insoluble Self-Oscillation of a Novel Nonthermoresponsive Polymer Chain Induced by the Belousov-Zhabotinsky Reaction
p.37

Effect of Concentration of Nitric Acid on the Autonomous Conformation Change of a Polymer Chainwith Nonthermoresponsivenature
p.42

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 429Study on Ground Surface Roughness of Engineering...

Study on Ground Surface Roughness of Engineering Ceramics Based on Grayscale Information

Abstract:

Surface roughness is one of the key factors to evaluate the grinding quality for engineering ceramics. This study introduces a new method based on grayscale information of surface images, to assess and predict the roughness of ground ceramics rapidly and effectively. The investigation sets the functional parameters of digital acquisition device as Brightness 140, Contrast 42, Saturation 24 and Acutance 9. Afterwards, it selects the mean value and the mean square deviation to describe surface roughness, and some image processing techniques are adopted to reduce noises and enhance the images. Lastly, it gives the relation curves on R_a，R_z，R_y versus grayscale information, and concludes a direct proportion law between the grayscale information and ground surface roughness.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 429)

Pages:

9-13

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.429.9

Citation:

Cite this paper

Online since:

January 2012

Authors:

Xin Li Tian, Jian Quan Wang, Fang Guo, Ke Ling Lin

Keywords:

Engineering Ceramic, Images Grayscale Information, Quality Evaluation, Surface Roughness (SR)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] X.L. Tian, A.B. Yu: Theory & Technology of Engineering Ceramic Machining (National Defense Industry Press, China 2006).

Google Scholar

[2] J.F. Yang, X.L. Tian, Z.Y. Wu and A.Y. She: ACTA ARMAMENTARII Vol. 29 (2008), p.1249.

Google Scholar

[3] C.L. Yuan, Z.H. Ding and W.T. Wu: Surface Roughness and Measurement (China Machine Press, China 1989).

Google Scholar

[4] X.J. Shi, Y.Q. Zhang and X.H. Zhang: Machine Design & Research Vol. 26 (2010) p.101.

Google Scholar

[5] R.C. Gonzalez, E.W. Richard: Digital Image Processing (Second Edition) (Publishing House of Electronics Industry, China 2007).

Google Scholar

[6] Y.J. Zhang: Image Processing (Second Edition) (Tsinghua University Press, China 2006).

Google Scholar

[7] Y.K. Cheng, B. Lin and G.X. Zhang: Rare Metal Materials and Engineering Vol. 37(2008) p.116.

Google Scholar