50th Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition
Aerospaceresearchers with considerablesubject-matter expertise who have had relatively little formal training in thedesign of experiments are often unaware that research quality and productivitycan be substantially improved through the specific design of an experiment. Reductions in cycle time by factors of two ormore, with quality improvements of that same order, have occurred when thefundamental precepts of experiment design covered in this course have beenapplied in real-world aerospace research. Examples drawn from specific studieswill quantitatively illustrate resource savings, quality improvements, andenhanced insights that well-designed experiments have delivered at NASALangley. Computer software CD’s includedwith the course (Design Expert) will be demonstrated.
- Keyadvantages of the Modern Design of Experiments (MDOE) over classical(conventional) experiment design methods
- Howto specify the proper volume of data to enhance the probability of success andto avoid wasting resources
- Fulland fractional factorial designs to efficiently quantify main effects andinteractions
- Experimentaltactics to minimize unexplained variance (uncertainty)
- Introductionto Response Surface Methods
Who Should Attend
- Illustrationof experiment design computer software (Design Expert)
This course is intended for scientists,engineers, and program, project, and line managers involved in the design andexecution of experimental aerospace research, or in product/processimprovement. Undergraduate and graduatestudents in engineering and scientific disciplines would also benefit fromexposure to the concepts presented in this course.