I can collect repeatable test data and use calculations to evaluate mechanism performance.
Mechanism Testing and Data Analysis
Focus question: How can repeatable data show whether a mechanism met the design criteria?
Today’s Plan
A focused lesson sequence that builds toward the VEX Rover Mechanisms Challenge.
What You Will Be Able to Do
Final test data table and analysis
The test controls variables, uses repeated trials, identifies anomalies, calculates meaningful metrics, and compares results with the criteria.
How the Lesson Moves
This page highlights the lesson elements you need for practice, evidence, and submission.
1. Standardize the procedure
Define load, starting condition, distance, timing method, and success criteria.
2. Collect repeated trials
Record enough trials to identify consistency and possible anomalies.
3. Analyze and conclude
Calculate averages or performance metrics and state whether each criterion was met.
Analyze Repeatability and an Anomalous Trial
A mechanism completed four lift trials in 42 s, 41 s, 43 s, and 58 s. Interpret the data before making a performance claim.
Trial Data
Do not delete a trial only because it is inconvenient. Identify a plausible procedural or mechanical reason and retest.
Data Decision
Main Deliverable
Final Test Data Table and Analysis
Run a repeatable test and use the data to judge mechanism performance.
- Include units, trial conditions, repeated measurements, and any excluded anomaly with justification.
- Write a criterion-by-criterion conclusion supported by calculated results.
Mission Debrief
One way today’s lesson connects to an aerospace mechanism or VEX rover system.
One type of evidence you could use to support a design decision.
One question you still have about mechanisms, energy, power, or the Unit 1 challenge.
Lesson Resources
Principles of Engineering
Return to the POE course hub for units, resources, certifications, and current course information.
VEX Rover Mechanisms Challenge
Use this unit project context when connecting the lesson to mechanism planning, testing, and design review evidence.
