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Regenerative Chatter Control with Piezoelectric Actuator for Micro-structure Surface Turning

  • Yang Wang
  • , Lue Zhang*
  • , Tao Chen
  • , Lining Sun
  • *Corresponding author for this work
  • Soochow University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Micro-structure surface is widely used in optics and industry because of their excellent optical properties, wear resistance, adhesion and lubricity. At present, there are many methods for micro-structure surface processing, among which the ultra-precision machining is commonly used processing method. In the process of micro-structure surface manufacturing, the dynamic change of cutting depth can cause instability in the machining process, resulting in the generation of chatter, which is one of the most important factors affecting the quality of machining in the declination of surface quality and generation of noise and tool wearing. The study of regenerative chatter has become a focus in the current manufacturing industry. Ultra-precision diamond cutting by using Fast Tool Servo (FTS) structure is a widely used microstructure surface processing method. In this paper, the chatter of turning process using FTS is modeled, and the occurrence of chatter is simulated and analyzed. Then BP neural network is applied for the chatter control of the proposed FTS system, the corresponding vibration curves are obtained.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
EditorsHaibin Yu, Jinguo Liu, Lianqing Liu, Yuwang Liu, Zhaojie Ju, Dalin Zhou
PublisherSpringer Verlag
Pages257-265
Number of pages9
ISBN (Print)9783030275310
DOIs
StatePublished - 2019
Externally publishedYes
Event12th International Conference on Intelligent Robotics and Applications, ICIRA 2019 - Shenyang, China
Duration: 8 Aug 201911 Aug 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11741 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Intelligent Robotics and Applications, ICIRA 2019
Country/TerritoryChina
CityShenyang
Period8/08/1911/08/19

Keywords

  • BP neural network
  • Micro-structure turning
  • Piezoelectric actuator
  • Regenerative chatter

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