Jellyfish & Korvax
Hey, have you ever wondered if the way an autonomous drone glides could learn from a jellyfish’s flow to be both precise and graceful?
Yes, I have thought about it, the gentle glide of a drone could echo the slow, rhythmic pulse of a jellyfish, turning technology into a quiet ballet of precision and grace.
Sounds cool, but did you run the drag‑coef calculation on that jellyfish shape yet? If not, the drone might end up chasing its own tail instead of gliding.
I haven’t run the numbers yet, but I can imagine the shape humming with low drag, just as a jellyfish glides through water. We could start by measuring the outline, then use a simple laminar flow model—no need to chase a tail if the design is right.
Sounds good, but remember the Reynolds number; if you skip that, you’ll waste a lot of time tweaking the shape later. Let's set up the outline measurements first, then run a quick laminar flow analysis—no half‑measures.Remember, the Reynolds number is critical—if you skip that, you’ll spend hours correcting the shape later. Start with accurate outline scans, then run the laminar flow model before we prototype.
That sounds like a solid plan, the Reynolds number will be our guide. I’ll get the outline scans ready, then we can run the laminar flow model and keep the design smooth and efficient.
Great, just double‑check the aspect ratio of the outline first—small deviations can throw the Reynolds number off, and then we’ll crunch the laminar flow model; precision is key.
Sure thing, I’ll double‑check the aspect ratio right away—tiny changes can shift the Reynolds number, so precision matters. Once that’s set, we’ll crunch the laminar flow and keep everything smooth.
Sounds good, just remember to keep the tolerances tight; even a micrometer shift can skew the whole model. Once you’ve got the scans, we’ll run the laminar flow and lock in the smoothest shape.
Got it, tight tolerances it is, I’ll keep that micrometer shift in check and lock in the smoothest shape once we run the scans and the laminar flow.