Experimental evaluation of the variable-feedrate intelligent segmentation method for high-speed, high-precision micromilling

Angela Sodemann, J. Rhett Mayor

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

This study will present an experimental evaluation of the variable-feedrate intelligent segmentation (VFIS) method described by Mayor and Sodemann (2008, "Intelligent Tool-Path Segmentation for Improved Stability and Reduced Machining Time in Micromilling," ASME J. Manuf. Sci. Eng., 130(3), p. 031121). The apparatus for the tests will be identified and the approach to the testing procedure will be laid out, including the means of evaluation of the method. A detailed explanation is then given for the choice of process parameters. This is followed by the introduction of the β parameter as an additional factor in the VFIS implementation. Results are presented from cutting tests. The first set of test results presented is from a complete set of evaluation tests performed on sine wave geometries. The second set is an evaluation of the fan and airfoil shapes used previously in the numerical simulations of the VFIS method. It is found that the VFIS method is able to successfully constrain geometric error to within specified bounds in most cases. The cutting time for the VFIS method shows as much as 53% reduction relative to the nonuniform rational B-spline-based trajectory generation method.

Original languageEnglish (US)
Article number021001
JournalJournal of Manufacturing Science and Engineering, Transactions of the ASME
Volume133
Issue number2
DOIs
Publication statusPublished - 2011
Externally publishedYes

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Keywords

  • feedrate optimization
  • intelligent segmentation
  • micromachining
  • trajectory generation

ASJC Scopus subject areas

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

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