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Proceedings Paper

Image recognizing method of chip shape based on expanding feature
Author(s): Xianli Liu; Qiaoling Yuan; Liguo Zhang; Mingde Hu
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Paper Abstract

Since chip shape directly affects the normal running ofthe automatic machining system, such as CNC, FMS, CIMS and so on In order to ensure their normal running, the supervision of tool cutting state was necessary and significative research task. In this paper, we analyze the method ofindirectly supervising chip shape by signal changing, for example cutting force, cutting temperature, Acoustic Emission, ray-electronic signal and sound signal when chip effuses out etc. and point out their flaw in theory or application and bring forward chip recognizing method based on chip shape features. The differentiate method according to gray-scale of chip image, can get chip shape feature what need by setting appropriate value. Then the feature is extended and transformed and get new shape feature. Finally recognize chip shape by calculating euler number of new feature. This paper puts forward recognizing theory's algorithm and develops computer program. The method can recognize typical cutting chip, such as "C" chip, spiral chip and abnormal chip and was proved to have a good precision by recognizing chip experiment in practical machining.

Paper Details

Date Published: 30 August 2002
PDF: 5 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481599
Show Author Affiliations
Xianli Liu, Harbin Univ. of Science and Technology (China)
Qiaoling Yuan, Harbin Univ. of Science and Technology (China)
Liguo Zhang, Harbin Univ. of Science and Technology (China)
Mingde Hu, Harbin Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

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