3D FEA modeling of hard turning

Yuebin Guo, C. R. Liu

Research output: Contribution to journalArticle

117 Citations (Scopus)

Abstract

A practical explicit 3D finite element analysis model has been developed and implemented to analyze turning hardened AISI 52100 steels using a PCBN cutting tool. The finite element analysis incorporated the thermo-elastic-plastic properties of the work material in machining. An improved friction model has been proposed to characterize tool-chip interaction with the friction coefficient and shear flow stresses determined by force calibration and material tests, respectively. A geometric model has been established to simulate a 3D turning. FEA Model predictions have reasonable accuracy for chip geometry, forces, residual stresses, and cutting temperatures. FEA model sensitivity analysis indicates that the prediction is consistent using a suitable magnitude of material failure strain for chip separation, the simulation gives reasonable results using the experimentally determined material properties, the proposed friction model is valid and the sticking region on the tool-chip interface is a dominant factor of model predictions.

Original languageEnglish (US)
Pages (from-to)189-199
Number of pages11
JournalJournal of Manufacturing Science and Engineering, Transactions of the ASME
Volume124
Issue number2
DOIs
StatePublished - May 1 2002
Externally publishedYes

Fingerprint

Finite element method
Computer simulation
Friction
Cutting tools
Shear flow
Plastic flow
Sensitivity analysis
Residual stresses
Materials properties
Machining
Calibration
Plastics
Geometry
Steel
Temperature

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Computer Science Applications

Cite this

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3D FEA modeling of hard turning. / Guo, Yuebin; Liu, C. R.

In: Journal of Manufacturing Science and Engineering, Transactions of the ASME, Vol. 124, No. 2, 01.05.2002, p. 189-199.

Research output: Contribution to journalArticle

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