D-optimal design of artifacts used in-machine software error compensation
| Autor: | Tom M. Cavalier, Enrique Castillo, E. Amine Lehtihet, Sanjay B. Joshi, Kun Tong |
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| Rok vydání: | 2009 |
| Předmět: |
Optimal design
Artifact (error) Computer science Strategy and Management Design of experiments Management Science and Operations Research computer.software_genre Industrial and Manufacturing Engineering Compensation (engineering) Simulated annealing Computer Aided Design Error detection and correction computer Algorithm Simulation Parametric statistics |
| Zdroj: | International Journal of Production Research. 47:1895-1912 |
| ISSN: | 1366-588X 0020-7543 |
| DOI: | 10.1080/00207540701673440 |
| Popis: | A methodology for the design of artifacts used in software error compensation of rapid prototyping (RP) machines is presented. In software error compensation, an artifact is frequently utilized for measuring parametric errors of the machine axes. In the past, different artifacts have been used and designed in an ad hoc way. To date, no method is available to evaluate the design of an artifact based on its effect on the precision of the fitted models estimated using the artifact. This paper proposes a method to evaluate and improve the design of an artifact using design of experiments (DOE) techniques and numerical optimization. As demonstrated by the results, a D-optimality criterion optimized using simulated annealing techniques can be used to evaluate and improve the design of an artifact so that the components of the volumetric error are predicted more precisely, with the benefit of better error compensation over repeated use of the error models. Although in this paper the concept is only demonstrated ... |
| Databáze: | OpenAIRE |
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