DocumentCode :
1767618
Title :
Autonomous hole quality determination using image processing techniques
Author :
Kuzu, Ahmet ; Kuzu, Ali T. ; Rahimzadeh, Kaveh ; Bogasyan, Seta ; Gokasan, Metin ; Bakkal, Mustafa
Author_Institution :
Control Eng. Dept., Istanbul Tech. Univ., Istanbul, Turkey
fYear :
2014
fDate :
1-4 June 2014
Firstpage :
966
Lastpage :
971
Abstract :
This paper introduces a technique which evaluate performance of hole quality after drilling process. Hole making is one of the most time consuming process in industry. For some applications the quality of holes are very crucial and be expected of tight tolerance from manufacturer. One of the most common device used by manufacturers to investigate the hole quality is coordinate measurement machines. However investment cost of coordinate measurement instrument machines are very high. Therefore a new image processing technique is proposed in this paper and coordinate measurement machine and image processing technique results were compared.
Keywords :
coordinate measuring machines; drilling; image processing; production engineering computing; quality control; autonomous hole quality determination; coordinate measurement machines; drilling process; hole making process; hole quality evaluation; image processing techniques; Brightness; Coordinate measuring machines; Drilling machines; Histograms; Image processing; Least squares approximations; Machining; drilling performance; hole quality; image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/ISIE.2014.6864743
Filename :
6864743
Link To Document :
بازگشت