| Author(s): |
David E. Gilsinn; Alice V. Ling; |
| Title: |
Comparative Statistical Analysis of Test Parts Manufactured in Production Environments |
| Published: |
February 02, 2004 |
| 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 |
| Pages: |
pp. 189 - 199 |
| Keywords: |
coordinate measuring machine;drilling;error uncertainties;laser ball bar;machine tool errors;machine tools;milling;Monte Carlo;propagation of uncertainty |
| Research Areas: |
Math, Modeling |
| PDF version: |
 Click here to retrieve PDF version of paper (197KB) |
