Date of Award
Master of Science (MS)
Engineering Management & Systems Engineering
C. Ariel Pinto
Call Number for Print
Special Collections LD4331.E555 E73 2006
The purpose of this thesis is to study the efficiency of several "design of experiments" (DOE) approaches used for the analysis and optimization of engineering designs. A literature review is conducted to study various "design of experiments" methods and the advantages and limitations of each method are discussed.
As an application, Augmented D-Optimal designs are utilized for a design study of 'synthetic jet'.
With the objective of improving efficiency and providing a minimum point experimental design model, computer-aided D-optimal method is preferred for this study. For setting up the design of the experiments and for performing the analysis of results, the "DOE" software-JMP is used.
In flow control studies, performance of the system is generally reached by the use of computerized analysis programs. In this study, the experiments are performed using a NASA-developed flow simulation program, CFL3D (Computational Fluids Laboratory 3-Dimensional flow solver). The D-optimal design in this study is enhanced by applying the augmentation method. For augmenting the design, additional experiments are statistically placed in the model. During the analysis of outputs of the experiments, logarithmic transformation is used for better fitting the data to the formation of mathematical model.
Results indicate that utilizing the augmented D-Optimal designs have led to improving efficiency significantly in the design, analysis and optimization studies performed in this thesis.
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"Improving Efficiency in Engineering Design Using Augmented D-Optimal Designs 'Synthetic Jet' Design Optimization Study"
(2006). Master of Science (MS), Thesis, Engineering Management & Systems Engineering, Old Dominion University, DOI: 10.25777/x8jj-2m66