Doctoral Dissertations


"This work presents a geometric error compensation method for large 5-axis machine tools. The compensation method presented here uses tool tip measurements recorded throughout the axis space to construct a position-dependent geometric error model that can easily be used for error compensation. The measurements are taken using a laser tracker, permitting rapid error data gathering at most locations in the axis space. First two model types are compared for generating table-based error compensation and experimental results are presented. Table-based compensation is then extended to machine tool controller types with restrictions on the number or combination of compensation tables using an artificial intelligence method. The overall methodology is then extended to the integration of additional instruments. A particular strength of the proposed methodology is the simultaneous generation of a complete set of compensation tables that accurately captures complicated kinematic errors independent of whether they arise from expected and unexpected sources"--Abstract, page iv.


Bristow, Douglas A.
Landers, Robert G.

Committee Member(s)

Castle, James B.
Leu, M. C. (Ming-Chuan)
Du, Xiaoping
Samaranayake, V. A.


Mechanical and Aerospace Engineering

Degree Name

Ph. D. in Mechanical Engineering


Missouri University of Science and Technology Center for Aerospace Manufacturing Technologies
National Science Foundation (U.S.)
United States. Department of Education


Funding was provided by the National Science Foundation (NSF, grant CMMI-1335340), and the Department of Education (DOE, grant P200A120062).


Missouri University of Science and Technology

Publication Date

Spring 2017

Journal article titles appearing in thesis/dissertation

  • Table-based volumetric error compensation for large 5-axis machine tools
  • Selection of limited and constrained compensation tables for 5-axis machine tools


xiii, 109 pages

Note about bibliography

Includes bibliographic references.


© 2017 Jennifer Ruth Creamer, All rights reserved.

Document Type

Dissertation - Open Access

File Type




Thesis Number

T 11575

Electronic OCLC #