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Abstract

This paper presents an integrated servo-feed-drive model including the cutting force and structural effect to predict tracking errors in an end-milling process. Most conventional approaches consider the cutting force to be an equivalent torque to servo feed drive. However, in addition to acting as the equivalent torque to the servo feed drive, cutting forces also cause the machine table to vibrate. This paper considers the aforementioned cutting-force effects to predict tracking errors and then verifies the tracking errors using experimental results. Experiments are conducted on a 3-axis computer numerical control (CNC) machining center to validate the tracking errors predicted by the proposed servo-feed-drive model. For one case study, the peak-to-peak tracking errors from the experimental, proposed, and traditional models are 3 μm, 2.8 μm, and 0.5 μm, respectively, for the x-axis, and 2.1 μm, 1.7 μm, and 0.4 μm, respectively, for the y-axis. The experimental results illustrate that the tracking errors predicted using the proposed model are more accurate than those predicted using the traditional model without consideration of the transmission path. Therefore, it can be concluded that the proposed integrated model provides much accurate tracking-error prediction, and thus, the ball-screw and machine-table flexibilities should be considered.

Details

Title
Novel servo-feed-drive model considering cutting force and structural effects in milling to predict servo dynamic behaviors
Author
Chen-Jung, Li 1 ; Hsiang-Chun, Tseng 2 ; Tsai Meng-Shiun 3 ; Chih-Chun, Cheng 2 

 National Kaohsiung University of Science and Technology, Department of Mechatronics Engineering, Kaohsiung City, People’s Republic of China (GRID:grid.412111.6) (ISNI:0000 0004 0638 9985) 
 National Chung Cheng University, Department of Mechanical Engineering, Chiayi County, People’s Republic of China (GRID:grid.412111.6) 
 National Taiwan University, Department of Mechanical Engineering, Taipei City, People’s Republic of China (GRID:grid.412111.6) 
Volume
106
Issue
3-4
Pages
1441-1451
Publication year
2020
Publication date
Feb 2020
Publisher
Springer Nature B.V.
Place of publication
Heidelberg
Country of publication
Netherlands
ISSN
02683768
e-ISSN
14333015
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2019-12-17
Milestone dates
2019-12-02 (Registration); 2019-07-10 (Received); 2019-12-02 (Accepted)
Publication history
 
 
   First posting date
17 Dec 2019
ProQuest document ID
2343358849
Document URL
https://www.proquest.com/scholarly-journals/novel-servo-feed-drive-model-considering-cutting/docview/2343358849/se-2?accountid=208611
Copyright
The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2019). All Rights Reserved.
Last updated
2023-11-25
Database
ProQuest One Academic