Thermal error modeling of a horizontal machining center using fuzzy logic strategy

Jin Hyeon Lee, Jae Ha Lee, Seung Han Yang

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

Thermally induced errors originating from machine tool errors have received significant attention recently because high speed and precise machining is now the principal trend in manufacturing processes using CNC machine tools. The performance of a thermal error compensation system basically depends on the accuracy and robustness of the thermal error model. This paper presents a thermal error model using a fuzzy logic strategy, which does not require any complex procedure such as multiregression or information about the characteristics of the plant. Accordingly, the proposed modeling method can be applied to any type of CNC machine tool as the error model parameters are only calculated mathematically, plus the error model provides good accuracy and robustness.

Original languageEnglish
Pages (from-to)120-127
Number of pages8
JournalJournal of Manufacturing Processes
Volume3
Issue number2
DOIs
StatePublished - 2001

Keywords

  • Engineering judgment model
  • Fuzzy logic model
  • Linear regression model
  • Robustness
  • Thermal error

Fingerprint

Dive into the research topics of 'Thermal error modeling of a horizontal machining center using fuzzy logic strategy'. Together they form a unique fingerprint.

Cite this