Design of Experiments - 230421 Flashcards
Steps for DOE planning / Statistische Versuchsplannung
- Describe/expertal knowledge: fact sheet, collect expert knowledge
- Select factors and responses: Which ones could have an effect? Previous technical documents. Measurements Systems Analysis.
- Determine design space: Parameters and ranges of values
- Choose a DOE design:
What is the Measurements Systems Analysis?
Provides info about the exactness of adjusted settings. Gauge calibrated and gauge R&R
Hear the signals of the process much easier than an unstable one.
Fact sheet
- Collection of data, after sorting and structuring.
- Problem Statement / target as specific as possible: 99% of all parts have a tensile stress of 60N
- Process description: chronological processes, cause and effect diagram (fishbone diagram, probably not a very professional diagram)
factors
- data type: adjustable, text (limited number of values)
- Adjustability: adjustable (easily changeable), hard-to-change, not adjustable-but measurable, not adj not measure
- discard as many factors as possible.
Design space
region of experiments, always within the technical limits
What are the different available designs besides two factorial design?
Factorial designs: full factorial design,fractional factorial: 2^(k-p)
Response surface designs: Central composite design
Mixture designs: Simplex centroid, simplex lattice
Center points
An intermediate point between the -1 and +1 values, allows a non linear relation
Factorial design
2-50 factors, could provide a great improvement on the response. Selects vital factors out of many, outcome is a hyperplane n-dimensional plane
advantages
simple setup
No knowledge about
Evaluation of all main effects
disadvantages
number of tests required grow exponentially (only makes sense until k=5)
Equations might be challenging
After three factors, no physical interpretation
Fractional factorial designs
Full: some experiments might be irrelevant for the DOE, but nevertheless they must be carried away
Fractional: 2^(k-p),