I’m going to make some more videos really soon, and the first ones I want to do are a bunch on different calculations and trends that we use a lot in design that others might not know about.

So please, reply with any and all requests in terms of any math or calculations (or trends… like what makes a gusset strong? How do bellypans work? what makes thinwall tubing more efficient?) that you would like covered.

OH. You do NOT want me to do that, I’d get others on 973. My strategy for running the router is use the same numbers that didn’t break the cutter last time. I don’t have the patience for such things :rolleyes:

What happens in a pushing match, and which robot will win? What math is involved with forming the profile of a tooth? How can we model the acceleration of an arm or elevator? What’s the correct speed and power to run an intake at? What’s the most efficient way to lighten (a gearbox, a gusset, a bellypan, a robot, take your pick)? How thin material you can “get away with” (in tubing, gussets, gearboxes, gears)? What’s the best way to model inefficiencies due to friction and calculate frictional forces/losses in FRC (in gearboxes)?

Sorry for the huge list. I’ll probably think of more stuff later tonight

Also, how do you approach flywheel design? How do you go about maximizing the moment of inertia of a flywheel while maintaining reasonable spin-up time?

Some basic strength-of-materials principles, particularly on how different geometries (tube, channel, angle) handle various loads and the most optimal places to remove material from these members.

Basic first-order gear strength calculations (thinking Lewis numbers more than AGMA formulas) in order to get a rough idea how to size a system.

Work-Energy for everything.

If you do anything to model strength for over-the-bumper things (or resilience / toughness for compliant materials) seeing how you do that would be really useful. I think a lot of teams are looking to put more emphasis on robust OTB systems after this game.

I’m actually interested in the opposite (as well). What kind of qualitative data do you collect, and how do you use it when making pick lists/match strategies?