Experiments/Metrology Flashcards

1
Q

For continuous improvement in product/process quality it is fundamental to

A

Understand the PROCESS BEHAVIOUR; the AMOUNT OF VARIABILITY and its IMPACT ON PROCESS.

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2
Q

the objective of a carefully planned experiment is to: (2)

A
  • understand which set of variables in a process affect the performance most
  • then determine the best levels for these variables to obtain satisfactory output functional performance.
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3
Q

In a engineering environment, experiments are conducted to

A

explore, estimate or confirm

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4
Q

Can also set the levels of unimportant variables to their most

A

Economic setting

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5
Q

For the successful application of an industrial designed experiment, the following skills are required:

A
  • Planning skills
  • Statistical skills
  • Teamwork skills
  • Engineering skills
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6
Q

why do an experiment:

A
  • When analysing a process, experiments are used to evaluate which process inputs have a significant impact on the process output, and what the target level of those inputs should be to achieve a desired result
  • Experiments can be designed in many different ways to collect this information. This process is called Design of Experiments (DOE) – or:
    Designed Experiments or Experimental Design
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7
Q

A designed experiment aims at (6)

A

1) Comparing alternatives
2) Identifying those significant inputs (factors) affecting an output (response) - separating the vital few from the trivial many
3) Achieving an optimal process output (response)
4) Reducing variability
5) Minimizing, maximizing, or targeting an output
6) Achieve product & process robustness

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8
Q

Experiment Design: Strategy (3)

A

1) The factors to be tested
2) The levels of those factors
3) The structure and layout of experimental runs, or conditions

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9
Q

Error refers to

A

all unexplained variation that is either within an experiment run or between experiment runs and associated with level settings changing.

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10
Q

Uncontrollable factors that induce variation under normal operating conditions are referred to as

A

“Noise Factors”

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11
Q

Two factors that vary together may be highly correlated without one causing the other and they may both be caused by a

A

third factor

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12
Q

Randomization and stratification, three simple rules:

A
  • If you can (and want to), fix a variable
  • If you don’t fix a variable, stratify it
  • If you can neither fix nor stratify a variable, randomize it
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13
Q

In a factorial experiment several independent factors are controlled and their effects are investigated at each of

A

2 or more levels

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14
Q

The factorial design may be appropriate to use when

A

When two or more variables being studied have an interaction effect

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