A team of biomechanical engineers conducted an experiment to evaluate the impact attenuation of 3D-printed lattice structures used in protective athletic gear. In four separate trials, the engineers varied the strut angle of the elastomer lattice (, , , and ) while holding the lattice density (), polymer resin formulation, and drop impact height () constant. In each trial, a drop tower released a mass onto the lattice sample, and the peak acceleration (measured in ) transmitted to an underlying sensor was recorded.
Match each experimental component from the investigation to its corresponding variable classification.
- Strut angle of the elastomer lattice (, , , )Independent Variable
- Peak acceleration () transmitted to the sensorDependent Variable
- Drop impact height () and lattice densityControlled Variable
Answer
Strut angle corresponds to the Independent Variable; Peak acceleration corresponds to the Dependent Variable; Drop impact height and lattice density correspond to Controlled Variables.
In experimental design, the independent variable is the parameter explicitly manipulated by the experimenters (the strut angle). The dependent variable is the observed outcome measured to assess the effect of that manipulation (the peak acceleration). Controlled variables are parameters deliberately kept uniform across all trials so they do not confound the results (drop height and lattice density).
Step-by-Step Solution
Key Concept
Experimental Variable Classification (Independent, Dependent, and Controlled)