System Analysis 1 requires team to utilize wind tunnel system to estimate four configurations of AEV’s propulsion system efficiency. The team members must grasp the application methods of wind tunnel system to perform this lab. And most importantly, the team members must have a good understanding of both concepts and calculating methods of related variables of propulsion system for calculating the system efficiency. And finally, the team should adjust their coding strategies according to the analysis results to reduce as much energy as possible while AEV’s running.
Figure 1: Wind Tunnel
The team test data is shown as follow.
Table 1: Propeller 3030 Puller Configuration
Figure 2: Propeller 3030 Puller Configuration Performance Analysis Plots
Table 2: Propeller 3030 Pusher Configuration
Figure 3: Propeller 3030 Pusher Configuration Performance Analysis Plots
Table 3: Propeller 2510 Puller Configuration
Figure 4: Propeller 2510 Puller Configuration Performance Analysis Plots
Table 4: Propeller 2510 Pusher Configuration
Figure 5: Propeller 2510 Pusher Configuration Performance Analysis Plots
From the data analysis results, the group believes the puller configuration is better for improving system efficiency. If team adopts propeller 3030, the puller configuration can obtains a 18.12% average efficiency, which is almost 1.63 times of a pusher configuration(11.11%). Also, the team believes the best power input should be around 20% since the propeller 3030 has a 20.36% efficiency when it has power input of 20%. Therefore the team decided not to change the original configuration and to use 20% as power input when coding for AEV.
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Appendix