Multivariate Design of Experiments for Engineering Dimensional Analysis

Daniel J. Eck, R. D Cook, Christopher J Nachtsheim, Thomas A. Albrecht

Research output: Contribution to journalArticle

Abstract

We consider the design of dimensional analysis experiments when there is more than a single response. We first give a brief overview of dimensional analysis experiments and the dimensional analysis (DA) procedure. The validity of the DA method for univariate responses was established by the Buckingham Π-Theorem in the early 20th century. We extend the theorem to the multivariate case, develop basic criteria for multivariate design of DA and give guidelines for design construction. Finally, we illustrate the construction of designs for DA experiments for an example involving the design of a heat exchanger.

Original languageEnglish (US)
JournalTechnometrics
DOIs
StatePublished - Jan 1 2019

Fingerprint

Dimensional Analysis
Design of Experiments
Design of experiments
Engineering
Experiments
Experiment
Heat Exchanger
Heat exchangers
Theorem
Univariate
Design

Keywords

  • Buckingham Π-theorem
  • Coordinate exchange algorithm
  • I-optimality
  • Optimal design
  • Robust-DA design

Cite this

Multivariate Design of Experiments for Engineering Dimensional Analysis. / Eck, Daniel J.; Cook, R. D; Nachtsheim, Christopher J; Albrecht, Thomas A.

In: Technometrics, 01.01.2019.

Research output: Contribution to journalArticle

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