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Image processing for chatter identification in machining processes

Khalifa, Othman Omran and Densibali , Amirasyid and Faris, Waleed Fekry (2006) Image processing for chatter identification in machining processes. International Journal of Advanced Manufacturing Technology, 31. pp. 443-449. ISSN 1433-3015 (O); 0268-3768 (P)

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Identifying chatter or intensive self-excited relative tool–workpiece vibration is one of the main challenges in the realization of automatic machining processes. Chatter is undesirable because it causes poor surface finish and machining accuracy, as well as reducing tool life. The identification of chatter is performed by evaluating the surface roughness of a turned workpiece undergoing chatter and chatter-free processes. In this paper, an image-processing approach for the identification of chatter vibration in a turning process was investigated. Chatter is identified by first establishing the correlation between the surface roughness and the level of vibration or chatter in the turning process. Images from chatter-free and chatter-rich turning processes are analyzed. Several quantification parameters are utilized to differentiate between chatter and chatter-free processes. The arithmetic average of gray level Ga is computed. Intensity histograms are constructed and then the variance, mean, and optical roughness parameter of the intensity distributions are calculated. The surface texture analysis is carried out on the images using a second-order histogram or co-occurrence matrix of the images. Analysis is performed to investigate the ability of each technique to differentiate between a chatter-rich and a chatter-free process. Finally, a machine vision system is proposed to identify the presence of chatter vibration in a turning process.

Item Type: Article (Journal)
Additional Information: 4119/23629
Uncontrolled Keywords: Chatter vibration . Intensity histogram . Co-occurrence matrix . Image processing
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ227 Machine design and drawing
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr Othman O. Khalifa
Date Deposited: 24 Apr 2012 14:38
Last Modified: 24 Apr 2012 14:38
URI: http://irep.iium.edu.my/id/eprint/23629

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