Presented by:
Gabriel Cojocaru, Principal Engineer 
Convergent Science

Electric vertical take-off and landing (eVTOL) shows promise 
as a potential solution for urban air mobility (UAM). 
However, despite numerous advances in the last two decades, 
many challenges must still be overcome to enable widespread 
UAM-drone implementation. Some of these challenges are 
regulatory (e.g., safety, autonomous pilots, noise), while 
others are technical. In this webinar, we will demonstrate 
how CONVERGE can overcome problems related to the 
application of external aerodynamics to rotor and UAM-drone 
simulations to study aerodynamic performance, stability, and 
noise generation and propagation. Thanks to its autonomous 
meshing, coupled with Adaptive Mesh Refinement and inlaid 
meshing, CONVERGE can tackle these problems with minimal 
pre-processing effort, enabling engineers to increase their 
productivity and analyze a greater number of scenarios. 
Broadband noise source and acoustic analogy methods, such as 
the Ffowcs Williams-Hawkings model, can identify possible 
noise sources and predict noise propagation to the far 
field, allowing engineers to decrease noise pollution from 
drones. For stability analysis, CONVERGE offers simplified 
rotor models, including the actuator line model, that 
provide higher efficiency than blade-resolved simulations 
without sacrificing the sensitivity of the analysis.