Research and Application of Carbide Blade Surface Quality Primitive Digital Automatic Detection

Xue Jun Tian; Zhi Peng Dong; Feng Ye

doi:10.4028/www.scientific.net/AMR.971-973.1700

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Research and Application of Carbide Blade Surface Quality Primitive Digital Automatic Detection
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 971-973Research and Application of Carbide Blade Surface...

Research and Application of Carbide Blade Surface Quality Primitive Digital Automatic Detection

Abstract:

Hard alloy has been widely applied as a type of cutter material and cemented carbide cutting tools have become the main tools for processing enterprises in our country. During the blade production process, traditional artificial detection methods for surface defects can't satisfy the demands of production quality and production efficiency any longer. Online automation rapid detection has been realized based on the Compute Unified Device Architecture (CUDA) by utilizing the computing capability of GPU.

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Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

1700-1705

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.971-973.1700

Citation:

Cite this paper

Online since:

June 2014

Authors:

Xue Jun Tian*, Zhi Peng Dong, Feng Ye

Keywords:

Automatic Detection, Carbide Blade, CUDA, Image Processing

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* - Corresponding Author

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