Physics IA Exemplar: How does changing the frontal surface area of a… | RevisionDojo
Loading document preview...
IB Physics HL Internal Assessment Example
How does changing the frontal surface area of a car (2.00 m², 2.20 m², 2.40 m², 2.60 m², 2.80 m², 3.00 m², 3.20 m², 3.40 m²) affect the drag force it experiences (N), determined using CFD simulations on SimScale?HL
Loading scores...
7
Official IB Result
IB Grade: 7
Criteria A: Research Design
5/6
0
3
6
Criteria StrandsPro
A.1Research question context
Excellent
A.2Methodological considerations for collecting data
Good
A.3Methodological considerations
Good
Criteria Feedback
The research question is focused, quantitative, and clearly placed in an appropriate physics context.
The investigation is methodologically detailed enough to be broadly reproducible, with a clear simulation workflow and data-collection plan.
The student identifies several relevant practical considerations, including mesh quality, steady-state selection, and the effect of simulation settings on validity.
The design still leaves an important confounding issue unresolved because changing width and height may alter the drag coefficient as well as frontal area.
Some CFD details are missing, so full reproducibility is not yet achieved.
A few methodological choices, such as repeated simulations in a deterministic setup, are not operationally explained.
Criteria B: Data Analysis
4/6
0
3
6
Criteria StrandsPro
B.1Communication of data recording and processing
Good
B.2Consideration of uncertainties
Moderate
B.3Data processing quality
Moderate
Criteria Feedback
The data table is readable and includes units, multiple area values, and repeated drag-force readings.
The student makes a genuine attempt to quantify uncertainty through ranges and gradient bounds.
The processing pathway is understandable, with a mean calculation, regression, and correlation statistic.
The student's communication of the data trail from raw simulation output to processed values is generally clear.
The uncertainty treatment is incomplete because key uncertainties are not fully sourced, propagated, or displayed on the main graph.
The interpretation of the p-value is statistically incorrect.
The analysis does not adequately address the possibility that the drag coefficient changes with geometry scaling.
Some presentation choices reduce precision, especially the lack of visible error bars and the use of overly fine decimal places.
Criteria C: Conclusion
4/6
0
3
6
Criteria StrandsPro
C.1Conclusion relevance and support
Good
C.2Scientific context comparison
Moderate
Criteria Feedback
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Criteria D: Evaluation
4/6
0
3
6
Criteria StrandsPro
D.1Methodological weaknesses
Good
D.2Suggested improvements
Good
Criteria Feedback
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.