Design of Experiments - 230421 Flashcards

1
Q

Steps for DOE planning / Statistische Versuchsplannung

A
  1. Describe/expertal knowledge: fact sheet, collect expert knowledge
  2. Select factors and responses: Which ones could have an effect? Previous technical documents. Measurements Systems Analysis.
  3. Determine design space: Parameters and ranges of values
  4. Choose a DOE design:
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2
Q

What is the Measurements Systems Analysis?

A

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.

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3
Q

Fact sheet

A
  • 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)
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4
Q

factors

A
  • 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.
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5
Q

Design space

A

region of experiments, always within the technical limits

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6
Q

What are the different available designs besides two factorial design?

A

Factorial designs: full factorial design,fractional factorial: 2^(k-p)
Response surface designs: Central composite design
Mixture designs: Simplex centroid, simplex lattice

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7
Q

Center points

A

An intermediate point between the -1 and +1 values, allows a non linear relation

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8
Q

Factorial design

A

2-50 factors, could provide a great improvement on the response. Selects vital factors out of many, outcome is a hyperplane n-dimensional plane

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9
Q

advantages

A

simple setup
No knowledge about
Evaluation of all main effects

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10
Q

disadvantages

A

number of tests required grow exponentially (only makes sense until k=5)
Equations might be challenging
After three factors, no physical interpretation

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11
Q

Fractional factorial designs

A

Full: some experiments might be irrelevant for the DOE, but nevertheless they must be carried away
Fractional: 2^(k-p),

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