ENBIS-17 in Naples

9 – 14 September 2017; Naples (Italy) Abstract submission: 21 November 2016 – 10 May 2017

Examining Potential Reductions in Wind Tunnel Testing Data Requirements

11 September 2017, 12:00 – 12:30

Abstract

Submitted by
Raymond Hill
Authors
Raymond Hill (Air Force Institute of Technology), Douglas A. Dillard (Air Force Institute of Technology), Darryl K. Ahner (Air Force Institute of Technology), Douglas C. Montgomery (Arizona State University)
Abstract
This research explores the application of Design of Experiments (DOE) techniques in routine wind tunnel testing to reduce overall data requirements and demonstrates that significant reduction without information loss is possible. In addition, this research also shows there is a limit to how small a data set can be before a DOE design fails to remain statistically equivalent to a large data matrix created via the OFAT method. Practical applications of DOE to wind tunnel testing have significantly decreased wind-on minutes and total data volume compared to traditional tests. Thus, the DOE process can be used throughout the development of a major flight system to conserve resources. In addition, the research presents information loss differences between four distinctly different DOE designs; Covering Array, Nested Face Centered Design, I-Optimal Design, and Latin Hypercube. The information loss due to three different small sample sizes is quantified for a legacy wind tunnel test provided by Arnold Engineering Development Center, the sponsoring organization.

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