A part error model considering the machine tool positioning errors and process-induced errors

Y. Y. Liao, H. N. Chiang, J. J. Wang, F. C. Hsu, C. F. Wu, Shreyes N. Melkote

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Parts geometrical and dimensional error for a machining process can be attributed to several factors, including tool wear, thermal deformation, the machine tool positioning error and force-induced process error. Although the latter two factors are often more significant, their effect on the parts accuracy is more elusive and difficult to predict due to their inherent statistical dispersion property. It is therefore the subject of this investigation to quantitatively relate the parts error to machine tool spatial error and process-induced errors. Through root mean square calculation, a part error model is established by combining the machine tool positioning error, work vibration and tool vibration. The part error model considers two ranges of surface error consisting of surface roughness and cutting depth error of a machined plate. Using milling process as an example, the part error is predicted and compared with measurement result. The validity of this model is verified through a series of milling experiments under various cutting conditions.

Original languageEnglish
Title of host publicationProceedings of the ASME International Manufacturing Science and Engineering Conference 2009, MSEC2009
Pages67-72
Number of pages6
DOIs
Publication statusPublished - 2009
EventASME International Manufacturing Science and Engineering Conference 2009, MSEC2009 - West Lafayette, IN, United States
Duration: 2009 Oct 42009 Oct 7

Publication series

NameProceedings of the ASME International Manufacturing Science and Engineering Conference 2009, MSEC2009
Volume2

Other

OtherASME International Manufacturing Science and Engineering Conference 2009, MSEC2009
Country/TerritoryUnited States
CityWest Lafayette, IN
Period09-10-0409-10-07

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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