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Design and Analysis of Computer Experiments With Branching and Nested Factors

Summary: [This abstract is based on the authors' abstract.] Many experiments contain factors that are nested within other factors called branching factors. The design and analysis of an experiment involving two different processing methods in which factors are nested within the branching factor can be challenging. Latin hypercube designs and kriging methods that can accommodate branching and nested factors are developed for a computer experiment in a machining process. Application of the proposed method resulted in optimal tool edge geometry and process improvement.

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  • Topics: Design of Experiments, Problem Solving
  • Keywords: Computer models, Design of experiments (DOE), Kriging, Latin squares, Nested experiments
  • Author: Hung, Ying; Joseph, V. Roshan; Melkote, Shreyes N.
  • Journal: Technometrics