CNC algorithms for precision machining

State of the art review

Chan Young Lee, Seong Hyeon Kim, Tae In Ha, Jaehong Min, Soon Hong Hwang, Byung-Kwon Min

Research output: Contribution to journalArticle

Abstract

As geometry of machined parts becomes complex the demands for more precise and faster machining using advanced computerized numerical control (CNC) are increased. Especially, recently improved computing power of CNC enables the implementation of the complicated control algorithms. Consequently a variety of intelligent control algorithms have been studied and implemented in CNC. This paper reviews the recent progress of control technologies for precision machining using CNC in the area of interpolation, contour control and compensation. In terms of interpolation several corner blending methods and parametric curves are introduced and the characteristics of each method are discussed. Regarding contour control algorithms recently developed multi-axis contour control methods are reviewed. Latest research efforts in compensation algorithms for geometric, thermal and friction induced errors in CNC machining are introduced.

Original languageEnglish
Pages (from-to)279-291
Number of pages13
JournalJournal of the Korean Society for Precision Engineering
Volume35
Issue number3
DOIs
Publication statusPublished - 2018 Mar 1

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Machining
Interpolation
Intelligent control
Friction
Geometry

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

Lee, Chan Young ; Kim, Seong Hyeon ; Ha, Tae In ; Min, Jaehong ; Hwang, Soon Hong ; Min, Byung-Kwon. / CNC algorithms for precision machining : State of the art review. In: Journal of the Korean Society for Precision Engineering. 2018 ; Vol. 35, No. 3. pp. 279-291.
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CNC algorithms for precision machining : State of the art review. / Lee, Chan Young; Kim, Seong Hyeon; Ha, Tae In; Min, Jaehong; Hwang, Soon Hong; Min, Byung-Kwon.

In: Journal of the Korean Society for Precision Engineering, Vol. 35, No. 3, 01.03.2018, p. 279-291.

Research output: Contribution to journalArticle

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