Volume 13, Issue 10 (1-2014)                   Modares Mechanical Engineering 2014, 13(10): 94-104 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Chatter detection in turning process using machine vision. Modares Mechanical Engineering. 2014; 13 (10) :94-104
URL: http://mme.modares.ac.ir/article-15-1416-en.html
Abstract:   (35839 Views)
Chatter or self-excited violent relative dynamic motion between the cutting tool and the workpiece is an undesirable phenomenon in machining due to its destructive effects on the product surface quality, machining accuracy, cutting tool life and machine tool life. Because of these reason, there is a need for in-process detection methods to predict and avoid chatter vibration during machining processes. In this work, Chatter detection in turning process is performed based on analysis of feed marks in surface texture of work piece using image processing techniques. In order to validate the proposed vision based method an accelerometer was attached to the shank of cutting tool for measuring vibrations.
Full-Text [PDF 2034 kb]   (4432 Downloads)    
Article Type: Research Article | Subject: Automation|Production Methods|Mechatronics
Received: 2013/02/12 | Accepted: 2013/04/14 | Published: 2013/12/22

Add your comments about this article : Your username or Email:
CAPTCHA