Thanks to everyone who participated! There were so many unique solutions for this amazing challenge. To pick the winners the judges tested each of the finalists based on the judging criteria. Congrats to the winners and all of the finalists.
The design of the optimization addressed all of the requirements of the challenge while integrating useful features such as legs and feet that aid in takeoff and landing. The balance between the three-dimensional constraints of the design space and the applied loads results in a quadcopter airframe that straddles the line between an over engineered heavy result and a result too delicate to be airworthy. Although the designer did make adjustments to the mesh created by Generate, the adjustments were minimal. The design also looks great.
This entry looks toward the future where generative design is integrated more closely with traditional CAD techniques. This entry relied heavily on the designer's ability to work with meshes and to post process the Generate results, something we are actively working to improve in future releases of Generate. The airframe is very rigid and will endure many crashes. The design looks quite futuristic as well.
The documentation and decision making processing submitted with this design are great. The design space takes into consideration all of the requirements for the challenge. The differentiation between a static and dynamic approach to applying loads demonstrates a clear understanding of the problem. The design process also demonstrates the user searching through the results for the perfect balance between performance and airframe mass, exactly how we imagine a designer using Generate. The airframe is very rigid and provides excellent protection of the payload and electronics should a crash occur.
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