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Research on Non-Planar Roughness Based on Laser Speckle

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Abstract:

Relationship between texture characteristics of laser speckle pattern and surface roughness of turning machinery metal surface was studied in this paper. Based on Wiener filter image processing technology, curve relationship between four texture feature parameters such as energy, entropy, contrast as well as correlation and roughness Ra before and after filtering was also established. Integrated texture feature method was used to analyze the change of each characteristic parameter and roughness Ra and obtain a relatively good curve. The results show that when roughness Ra is in the range of 0.8-6.3μm, energy, entropy and correlation are most suitable to represent surface roughness of turning machinery metal sample.

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Periodical:

Advanced Materials Research (Volume 529)

Pages:

413-418

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.529.413

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Online since:

June 2012

Authors:

Wen Tao Zhang, Chuan Yang, Bao Wu Zhang, Xian Ming Xiong

Keywords:

Laser Speckle, Surface Roughness (SR), Texture Analyze, Wiener Filter

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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