Extended Model and Control of Regenerative Chatter Vibrations in Orthogonal Cutting

Ziv Brand; Shai Arogeti

doi:10.1109/ICARCV.2018.8581228

Extended Model and Control of Regenerative Chatter Vibrations in Orthogonal Cutting

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Turning machining is an important manufacturing process, widely used in industry. Dynamic interaction between the tool and the workpiece may cause regenerative chatter, which is associated with problems of poor surface finish, reduced product quality and low productivity. The demand for high accuracy motivates development of active vibration control methods that are based on realistic dynamical models of the turning process. This paper discusses the development of an active robust control law that is based on an extended regenerative chatter vibration model for orthogonal cutting. Its novelty stems from the way the workpiece elastic behavior is taken into consideration. The presented numerical results show that the vibration level can be reduced significantly, even in the presence of external disturbances, parametric uncertainty and (open loop) unstable machining conditions.

Original language	American English
Title of host publication	2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Pages	727-732
Number of pages	6
ISBN (Electronic)	9781538695821
DOIs	https://doi.org/10.1109/ICARCV.2018.8581228
State	Published - 18 Dec 2018
Externally published	Yes
Event	15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 - Singapore, Singapore Duration: 18 Nov 2018 → 21 Nov 2018

Publication series

Name	2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

Conference

Conference	15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Country/Territory	Singapore
City	Singapore
Period	18/11/18 → 21/11/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

UDE control
active control
orthogonal cutting
regenerative chatter
time delay

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Vision and Pattern Recognition
Control and Optimization

Access to Document

10.1109/ICARCV.2018.8581228

Cite this

Brand, Z., & Arogeti, S. (2018). Extended Model and Control of Regenerative Chatter Vibrations in Orthogonal Cutting. In 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 (pp. 727-732). Article 8581228 (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018). https://doi.org/10.1109/ICARCV.2018.8581228

@inproceedings{44b82c0cdea941328e9773560b5b436c,

title = "Extended Model and Control of Regenerative Chatter Vibrations in Orthogonal Cutting",

abstract = "Turning machining is an important manufacturing process, widely used in industry. Dynamic interaction between the tool and the workpiece may cause regenerative chatter, which is associated with problems of poor surface finish, reduced product quality and low productivity. The demand for high accuracy motivates development of active vibration control methods that are based on realistic dynamical models of the turning process. This paper discusses the development of an active robust control law that is based on an extended regenerative chatter vibration model for orthogonal cutting. Its novelty stems from the way the workpiece elastic behavior is taken into consideration. The presented numerical results show that the vibration level can be reduced significantly, even in the presence of external disturbances, parametric uncertainty and (open loop) unstable machining conditions.",

keywords = "UDE control, active control, orthogonal cutting, regenerative chatter, time delay",

author = "Ziv Brand and Shai Arogeti",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 ; Conference date: 18-11-2018 Through 21-11-2018",

year = "2018",

month = dec,

day = "18",

doi = "10.1109/ICARCV.2018.8581228",

language = "American English",

series = "2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018",

pages = "727--732",

booktitle = "2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018",

}

Brand, Z & Arogeti, S 2018, Extended Model and Control of Regenerative Chatter Vibrations in Orthogonal Cutting. in 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018., 8581228, 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, pp. 727-732, 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, Singapore, Singapore, 18/11/18. https://doi.org/10.1109/ICARCV.2018.8581228

Extended Model and Control of Regenerative Chatter Vibrations in Orthogonal Cutting. / Brand, Ziv; Arogeti, Shai.
2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. 2018. p. 727-732 8581228 (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Extended Model and Control of Regenerative Chatter Vibrations in Orthogonal Cutting

AU - Brand, Ziv

AU - Arogeti, Shai

PY - 2018/12/18

Y1 - 2018/12/18

N2 - Turning machining is an important manufacturing process, widely used in industry. Dynamic interaction between the tool and the workpiece may cause regenerative chatter, which is associated with problems of poor surface finish, reduced product quality and low productivity. The demand for high accuracy motivates development of active vibration control methods that are based on realistic dynamical models of the turning process. This paper discusses the development of an active robust control law that is based on an extended regenerative chatter vibration model for orthogonal cutting. Its novelty stems from the way the workpiece elastic behavior is taken into consideration. The presented numerical results show that the vibration level can be reduced significantly, even in the presence of external disturbances, parametric uncertainty and (open loop) unstable machining conditions.

AB - Turning machining is an important manufacturing process, widely used in industry. Dynamic interaction between the tool and the workpiece may cause regenerative chatter, which is associated with problems of poor surface finish, reduced product quality and low productivity. The demand for high accuracy motivates development of active vibration control methods that are based on realistic dynamical models of the turning process. This paper discusses the development of an active robust control law that is based on an extended regenerative chatter vibration model for orthogonal cutting. Its novelty stems from the way the workpiece elastic behavior is taken into consideration. The presented numerical results show that the vibration level can be reduced significantly, even in the presence of external disturbances, parametric uncertainty and (open loop) unstable machining conditions.

KW - UDE control

KW - active control

KW - orthogonal cutting

KW - regenerative chatter

KW - time delay

UR - http://www.scopus.com/inward/record.url?scp=85060810793&partnerID=8YFLogxK

U2 - 10.1109/ICARCV.2018.8581228

DO - 10.1109/ICARCV.2018.8581228

M3 - Conference contribution

T3 - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

SP - 727

EP - 732

BT - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

T2 - 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

Y2 - 18 November 2018 through 21 November 2018

ER -

Extended Model and Control of Regenerative Chatter Vibrations in Orthogonal Cutting

Abstract

Publication series

Conference

UN SDGs

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this