Comparison of Resource Requirements for a Wind Tunnel Test Designed with Conventional vs. Modern Design of Experiments Methods

DeLoach, Richard; Micol, John R.

doi:10.2514/6.2011-1260

Cited by 11 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to establish the RSM, certain volume and type of data points are needed. Generally, in many literatures [2][3][4][5][6][7] the Central Composite Design (CCD) which facilitates quadratic model terms was quantified to design and select the data points. It is made up of corner points, central points and axial points, and a typical second order CCD with 3 design variables consists of 27 data points was shown in Fig.…”

Section: Mdoe Methodsmentioning

confidence: 99%

A Case Study of Application of Modern Design of Experiment Methods in High Speed Wind Tunnel Test

Huang

Wei

et al. 2013

AMM

View full text Add to dashboard Cite

For the development trend of advanced aircraft wind tunnel tests which require shorter cycle time and lower cost, a new wind tunnel testing process called Modern Design of Experiments (MDOE) is under development at NASA Langley Research Center. This paper presents a case study of application of Modern Design of Experiment methods in high speed wind tunnel tests based on the aerodynamic data of certain type of aircrafts. The full process including experiment design, execution, analysis of variance, and block design is described. Comparisons between MDOE predictions and OFAT measurements were made in the present study. The results show that the MDOE methods have well predictive capability to meet specific test objectives with less data volume, less cost and less time compared to the conventional OFAT methods, which means the MDOE approach established and used in this study is feasible enough to meet specific aerodynamic wind tunnel testing objectives in place of conventional OFAT methods.

show abstract

Section: Mdoe Methodsmentioning

confidence: 99%

A Case Study of Application of Modern Design of Experiment Methods in High Speed Wind Tunnel Test

Huang

Wei

et al. 2013

AMM

View full text Add to dashboard Cite

show abstract

“…For any experimental data, perfect identical data points (measurements) are an abstraction that is not observed in nature 3 . To analyse this data, a statistics metric known as Variance is applied, which measures the dispersion about a determined value (usually the sample mean 4 ).…”

Section: Introductionmentioning

confidence: 99%

Aircraft Wind Tunnel Characterization using Modern Design of Experiments

Dias

Suleman

Broughton

2013

54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

View full text Add to dashboard Cite

The present work focused on the full characterisation of a blended-wing-body UAV airframe recurring to a wind tunnel testing approach known as Modern Design of Experiments (MDOE). The results of this project are going to be applied in the design of a new control system for the aircraft. The tests were completed in a low-speed wind tunnel facility at Council for Scientific and Industrial Research (CSIR) in Pretoria, South Africa. The model was prepared for the wind tunnel tests, which included structural analysis, reinforcement and instrumentation. As part of the MDOE technique, the design of experiment of the test program was considered and analysed prior to the testing itself. The tests were then executed and the data collected and analysed. The final results consist in 12 models that fit the data for the six aerodynamic responses (2 per response): Lift, Drag, Side Force, Pitching Moment, Rolling Moment and Yawing Moment coefficients. All the models were extensively analysed using confirmation points. An example of significant systematic variation for the drag coefficients was detected and corrected. A study of the bias and tolerance trade-off resulting from the data correction for the wind tunnel influences was also conducted.

show abstract

“…Then experimental conditions are carefully chosen (i.e., sampled) to quantify the statistical contribution that each of these sources contributes to the final quantities of interest. The approach uses replication, randomization, and blocking techniques in the design of the sample data collected in an experiment [24,25], and has been widely used in analyzing data from many fields -for example, production process control, system and component reliability, environmental statistics, biostatistics, medication testing, and epidemiology. This approach, however, has seen limited use in validation experiments.…”

Section: Type B: Uncertainties That Are Evaluated By Means Other Thanmentioning

confidence: 99%

Estimation of Uncertainties for a Supersonic Retro-Propulsion Model Validation Experiment in a Wind Tunnel

Rhode

Oberkampf²

2012

42nd AIAA Fluid Dynamics Conference and Exhibit

View full text Add to dashboard Cite

A high-quality model validation experiment was performed in the NASA Langley Research Center Unitary Plan Wind Tunnel to assess the predictive accuracy of computational fluid dynamics (CFD) models for a blunt-body supersonic retro-propulsion configuration at Mach numbers from 2.4 to 4.6. Static and fluctuating surface pressure data were acquired on a 5-inch-diameter test article with a forebody composed of a sphericallyblunted, 70-degree half-angle cone and a cylindrical aft body.One non-powered configuration with a smooth outer mold line was tested as well as three different powered, forward-firing nozzle configurations: a centerline nozzle, three nozzles equally spaced around the forebody, and a combination with all four nozzles. A key objective of the experiment was the determination of experimental uncertainties from a range of sources such as random measurement error, flowfield non-uniformity, and model/instrumentation asymmetries. This paper discusses the design of the experiment towards capturing these uncertainties for the baseline non-powered configuration, the methodology utilized in quantifying the various sources of uncertainty, and examples of the uncertainties applied to non-powered and powered experimental results. The analysis showed that flowfield nonuniformity was the dominant contributor to the overall uncertainty -a finding in agreement with other experiments that have quantified various sources of uncertainty.

show abstract

Comparison of Resource Requirements for a Wind Tunnel Test Designed with Conventional vs. Modern Design of Experiments Methods

Cited by 11 publications

References 17 publications

A Case Study of Application of Modern Design of Experiment Methods in High Speed Wind Tunnel Test

A Case Study of Application of Modern Design of Experiment Methods in High Speed Wind Tunnel Test

Aircraft Wind Tunnel Characterization using Modern Design of Experiments

Estimation of Uncertainties for a Supersonic Retro-Propulsion Model Validation Experiment in a Wind Tunnel

Contact Info

Product

Resources

About