Extended Model and Control of Regenerative Chatter Vibrations in Orthogonal Cutting

Ziv Brand, Shai Arogeti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages727-732
Number of pages6
ISBN (Electronic)9781538695821
DOIs
StatePublished - 18 Dec 2018
Externally publishedYes
Event15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 - Singapore, Singapore
Duration: 18 Nov 201821 Nov 2018

Publication series

Name2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

Conference

Conference15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Country/TerritorySingapore
CitySingapore
Period18/11/1821/11/18

Keywords

  • UDE control
  • active control
  • orthogonal cutting
  • regenerative chatter
  • time delay

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Optimization

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