An analytical model for the prediction of minimum chip thickness in micromachining

X. Liu, R. E. DeVor, S. G. Kapoor

Research output: Contribution to journalArticlepeer-review

Abstract

In micromachining. the uncut chip thickness is comparable or even less than the tool edge radius and as a result a chip will not be generated if the uncut chip thickness is less than a critical value, viz., the minimum chip thickness. The minimum chip thickness effect significantly affects machining process performance in terms of cutting forces, tool wear, surface integrity, process stability, etc. In this paper, an analytical model has been developed to predict the minimum chip thickness values, which are critical for the process model development and process planning and optimization. The model accounts for the effects of thermal softening and strain hardening on the minimum chip thickness. The influence of cutting velocity and tool edge radius on the minimum chip thickness has been taken into account. The model has been experimentally validated with 1040 steel and A16082-T6 over a range of cutting velocities and tool edge radii. The developed model has then been applied to investigate the effects of cutting velocity and edge radius on the normalized minimum chip thickness for various carbon steels with different carbon contents and Al6082-T6.

Original languageEnglish (US)
Pages (from-to)474-481
Number of pages8
JournalJournal of Manufacturing Science and Engineering
Volume128
Issue number2
DOIs
StatePublished - May 2006

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'An analytical model for the prediction of minimum chip thickness in micromachining'. Together they form a unique fingerprint.

Cite this