Research and Application of Carbide Blade Surface Quality Primitive Digital Automatic Detection-Reference-Cited by-同舟云学术

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

Published:2014-06 Issue: Volume:971-973 Page:1700-1705
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Tian Xue Jun¹,Dong Zhi Peng²,Ye Feng²

Affiliation:

1. Zhanjiang Normal University

2. South China University of Technology

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.971-973.1700.pdf

Reference8 articles.

1. Wen Luo, Junfeng Xue, Haiqing Bo. Solid carbide tool grinding crack reason analysis and process improvement [J]. Journal of technology tools, 2006, 40（6）：37-40.

2. Abed E H，Alexander J C. Dynamic bifurcation in a power system model exhibiting votage collapse[C]/Proceedings of the 1992 IEEE International Symposium on Circuit and Systems，San Diego，CA，(1992).

3. Sauer P W. Analysis of voltage control system exhibiting hopf bifurcation[C]/IEEE Proceedings of 28th Conference on Decision and Control，Tampa，FL，(1989).

4. Jun Li, Yanhui Li, Shuangping Chen. CUDA architecture of fast image denoising [J]. Computer engineering and application. 2009, 45（11）：183-185.

5. NVIDIA. CUDA C Programming Guide version 4. 2[EB/OL]． http: /developer. download. nvidia. com/compute/DevZone/docs/html/C/doc/CUDA_C_Programming_Guide. pdf，2012. 7.