Experimental study of stability prediction for high-speed robotic milling of aluminum. (29th October 2019)
- Record Type:
- Journal Article
- Title:
- Experimental study of stability prediction for high-speed robotic milling of aluminum. (29th October 2019)
- Main Title:
- Experimental study of stability prediction for high-speed robotic milling of aluminum
- Authors:
- Hao, Daxian
Wang, Wei
Liu, Zhaoheng
Yun, Chao - Abstract:
- It has been fully demonstrated that the regenerative chatter theory is applicable for predicting chatter-free milling parameters for computer numerical control machine tools, but researchers are still arguing whether it is effective for robotic milling processes. The main reason is that the robot's modes greatly shift, depending on its varying dynamic parameters and joint configurations. More experimental investigations are required to study and better understand the mechanism of vibration in robotic machining. The present paper is focusing on finding experimental support for chatter-free prediction in robot high-speed milling by the regenerative chatter theory. Modal tests are first conducted on a milling robot and used to predict stability lobes by zeroth order approximation. A number of high-speed slotting tests are then carried out to verify the prediction results. Thus, the regenerative chatter theory is proved to be also applicable to robotic high-speed milling. Furthermore, low-frequency modes of the robot structure are investigated by more modal experiments involving a laser tracker and a displacement sensor. The low-frequency modes are identified as the main part of the prediction error of the zeroth order approximation method, which could also be dominant in low-speed robotic milling processes. In addition, robots are different from computer numerical control machines in terms of stiffness, trajectory following error, forced vibration, and motion coupling. TheseIt has been fully demonstrated that the regenerative chatter theory is applicable for predicting chatter-free milling parameters for computer numerical control machine tools, but researchers are still arguing whether it is effective for robotic milling processes. The main reason is that the robot's modes greatly shift, depending on its varying dynamic parameters and joint configurations. More experimental investigations are required to study and better understand the mechanism of vibration in robotic machining. The present paper is focusing on finding experimental support for chatter-free prediction in robot high-speed milling by the regenerative chatter theory. Modal tests are first conducted on a milling robot and used to predict stability lobes by zeroth order approximation. A number of high-speed slotting tests are then carried out to verify the prediction results. Thus, the regenerative chatter theory is proved to be also applicable to robotic high-speed milling. Furthermore, low-frequency modes of the robot structure are investigated by more modal experiments involving a laser tracker and a displacement sensor. The low-frequency modes are identified as the main part of the prediction error of the zeroth order approximation method, which could also be dominant in low-speed robotic milling processes. In addition, robots are different from computer numerical control machines in terms of stiffness, trajectory following error, forced vibration, and motion coupling. These long-period trend terms have to be carefully taken into account in the regenerative chatter theory for robotic high-speed milling. … (more)
- Is Part Of:
- Journal of vibration and control. Volume 26:Number 7/8(2020)
- Journal:
- Journal of vibration and control
- Issue:
- Volume 26:Number 7/8(2020)
- Issue Display:
- Volume 26, Issue 7/8 (2020)
- Year:
- 2020
- Volume:
- 26
- Issue:
- 7/8
- Issue Sort Value:
- 2020-0026-NaN-0000
- Page Start:
- 387
- Page End:
- 398
- Publication Date:
- 2019-10-29
- Subjects:
- Robotic milling -- machining -- regenerative chatter -- stability -- experiments
Vibration -- Periodicals
Damping (Mechanics) -- Periodicals
620.3 - Journal URLs:
- http://jvc.sagepub.com ↗
http://www.ingenta.com/journals/browse/sage/j324?mode=direct ↗
http://www.uk.sagepub.com/home.nav ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1177/1077546319880376 ↗
- Languages:
- English
- ISSNs:
- 1077-5463
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13512.xml