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Comparative Statistical Analysis of Test Parts Manufactured in Production Environments

Published

Author(s)

David E. Gilsinn, Alice V. Ling

Abstract

Estimating error uncertainties arising in production parts isnot a well understood process. This study developed an approach to estimatethese uncertainties. Machine tool error components on a vertical turningcenter were measured. Multiple parts were produced and measured on acoordinate measuring machine. Machine tool model uncertainties of length andorthogonality were developed. All of these estimated uncertainties werecompared against measured uncertainties. The main result of the study isthat the Law of Propagation of Uncertainties can be used to estimatemachining uncertainties and that predicted uncertainties can be related toactual part error uncertainties.
Citation
NIST Interagency/Internal Report (NISTIR) -
Volume
126

Keywords

coordinate measuring machine, drilling, error uncertainties, laser ball bar, machine tool errors, machine tools, milling, Monte Carlo, propagation of uncertainty

Citation

Gilsinn, D. and Ling, A. (2004), Comparative Statistical Analysis of Test Parts Manufactured in Production Environments, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150867 (Accessed June 24, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created February 2, 2004, Updated February 19, 2017