The Use of Supersaturated Experiments in Turbine Engine Development

When designing a complex mechanical system there is always considerable emphasis on reducing the time spent determining the best design. Understanding factors that contribute to the performance of the system as rapidly as possible is very important. Supersaturated statistical designs (SSDs) offer a...

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Bibliographic Details
Published in:Quality engineering 2007-01, Vol.19 (1), p.17-27
Main Authors: Holcomb, Don R., Montgomery, Douglas C., Carlyle, W. Matthew
Format: Article
Language:English
Subjects:
contrasts
Design
factorial design
Factorial experiments
metamodel
screening
Studies
Turbines
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Summary:When designing a complex mechanical system there is always considerable emphasis on reducing the time spent determining the best design. Understanding factors that contribute to the performance of the system as rapidly as possible is very important. Supersaturated statistical designs (SSDs) offer a potentially useful way to investigate many factors with very few experiments. SSDs investigate m factors with n experiments, where m > n − 1. In this paper, we demonstrate the use of a SSD in the detailed design phase of a turbine engine. Three SSDs and three orthogonal two-level factorial experiments were used as screening experiments. The results show that SSDs are a reasonable analysis choice, since few active factors are missed.
ISSN:0898-2112
1532-4222
DOI:10.1080/08982110601057146