The purpose of this research is to gain initial knowledge and to predict the sustainability of an all-weather
Micro-Aerial-Vehicle (MAV). The observed parameters are: the maximum coefficient of lift, CL and the
changes in CL after impact, the fluctuation of CL upon entering simulated rain environment, and length of
stability recovery in terms of time and flapping cycle, t and t/T, at flapping frequencies of 8, 16, and 24
Hz, at t/T = 3/8 and 7/8. At 24 Hz, the increase in peak CL value after impact of entering rain environment
is 0.59. The average fluctuations in CL occurred when entering the rain environment are 410.263. The
stability recovery time recorded is 0.006 seconds. Small birds (especially hummingbirds) have a very
high flapping frequency that enables them to efficiently withstand external disturbances caused by nature
and to instantly adapt to new environments.
Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) analysis were performed in this work in order to obtain the best design for safety and aerodynamic performance of the bicycle cycling helmet. FEA analysis was computed on two different helmet designs to determine the critical area subjected to impact. A pressure load was applied on the helmets’ outer surface to simulate oblique loading. The critical areas of the helmets were then highlighted and identified, enabling design improvements to be made on both designs. CFD analysis was then executed in order to obtain the lowest drag coefficient number in reducing the air resistance induced by both of the helmet designs, inherently increasing cyclist performance and ensuring competition success.