Rocket Experiments

Expectations from the Open Rocket experiments for the Modelling Coursework

$1)$

Provide an analysis of the engineering problem you are choosing to study for the rocket design or

operation, identifying the response variable of interest $($e$.$g$.$ maximum altitude$),$ and the input

factors that you select for the study together with the rationale. $[$a minimum of $3$ factors should

be used, although if you use a screening experiment more factors should be expected$]$

$2)$

Outline the methodology for the study; this should provide an outline of the experiments that you

plan $($normal expectation is that you will be running a screening experiment followed by a multi

level DoE; you can however adopt different strategies including a direct multi level experiment

but you need to justify your strategy$)$

$3)$

Design the DoEs $,$ evaluate the design using the criteria discussed in class $/$ tutorials, run the

experiments $($using OpenRocket $)$ and collect the response data, fit models and select a model

based on the discussion of performance.

$4)$

Reflect on the model judging its quality with both statistical and engineering metrics $($i$.$e$.$ do the

trends that you observe make engineering sense?$).$ Try to use external validation and select best

options either informally or using optimisation.

$5)$

Discuss the overall results and reflect on your methodology and on learning!

The normal expectation is that you use the Python tutorials for the coursework, but you can use

alternative DoE software e$.$g$.$ the Matlab MBC toolbox $($or Minitab$).$

You can choose a different case study $($other than

OpenRocket $)$ but you are advised to discuss this

with the module team.