An analytical quadratic model for the geometric error of a machine tool

Placid M. Ferreira, C. Richard Liu

Research output: Contribution to journalArticlepeer-review

Abstract

In the analysis of geometric error of a machine, errors (especially angular errors) of a joint (axis) are assumed to remain constant with movement along the joint. The assumption, as actual measurements indicate, is not justifiable. Substantial variations can be observed. In this paper an analytical model for the prediction of geometric error of a machine tool is presented. Unlike previously proposed models, this model allows for the variation of errors along the machine's joints (axes). The model, developed using rigid body kinematics, relates the error vector at a point in the machine tool work space to the coordinates of that point by the dimensional and form errors of the individual links and joints of the machine's kinematic scheme. Shape and joint transforms are developed for inaccurate machine elements. An expression is developed for the case where the individual joint errors vary linearly with movement along the joint (or axis). The expression is quadratic. A comparison, made between the errors predicted by the model which allows for variation of individual errors and one that does not, indicates that the higher order terms of the expression make significant contributions to the predicted error. Finally, a method for estimating the coefficients of the model from the error obtained on a workpiece is proposed.

Original languageEnglish (US)
Pages (from-to)51-63
Number of pages13
JournalJournal of Manufacturing Systems
Volume5
Issue number1
DOIs
StatePublished - 1986
Externally publishedYes

Keywords

  • Accuracy
  • Error Compensation
  • Error Modeling
  • Kinematic Errors
  • Machine Tools

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'An analytical quadratic model for the geometric error of a machine tool'. Together they form a unique fingerprint.

Cite this