Tool wear inspection method for small lathe

Author

Zhanjiang Yu ; Linshuai Zhang ; Kui Xia ; Liuxin Zhang ; Huadong Yu

Author_Institution

Coll. of Mech. & Electr. Eng., Changchun Univ. of Sci. & Technol., Changchun, China

fYear

2014

fDate

3-6 Aug. 2014

Firstpage

1161

Lastpage

1165

Abstract

This paper represents the method for tool wear area inspection for small lathe. Based on the machine vision technology, combined with the features of the cutting tool, tool wear area inspection system is designed. Facet model is used for Sub-pixel extraction of tool edge, then the main and minor cutting edge is fitted, and the wear area of tool tip zone is calculated. Tool wear experiments are done with PCD tool and #45 steel. Results show the tool wear inspection method could calculate the tool tip angle and the wear area of the tool tip precisely and rapidly. This method could monitor the tool wear in the cutting process for the small lathe.

Keywords

computer vision; condition monitoring; cutting; cutting tools; feature extraction; inspection; lathes; mechanical engineering computing; steel; wear; #45 steel; PCD tool; cutting edge fitting; cutting process; cutting tool; facet model; machine vision technology; small lathe; sub-pixel extraction; tool edge; tool tip angle; tool tip zone; tool wear area inspection system; tool wear experiments; tool wear monitoring; Blades; Cutting tools; Image edge detection; Inspection; Machine vision; Monitoring; Nose; Cutting; Inspection; Lathe; Tool Wear;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation (ICMA), 2014 IEEE International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4799-3978-7

Type

conf

DOI

10.1109/ICMA.2014.6885862

Filename

6885862