>> >I've been doing some (alot, really) surfing for in-depth texts on
>> >motorcycles, but apart from "Motorcycle Design & Technology: How and
>> >Why" [1], which looks a little light weight (but I'll probably get it
>> >anyway), and various papers at [2], of which most of interest are in
>> >italian, I've pretty much drawn blanks.
>> I think a lot of the general vehicle physics (car physics) will do
>> nicely in a basic understanding.
>I suppose you're right, but that just makes it all the more important
>to know what things doesn't apply. :)
Right, but a mix of literature in the end will help. But I understand
it's better to just get the best book upfront, instead of learning by
pieces (I've got too many books by now ;-)).
Hm, you could add a lateral spring value perhaps. But the infamous
SAE950311 paper on relaxation lengths where you take another
indirection in calculating slip angle was based on work that was done
for tractor tires, for instance.
Those tires take a long time (relatively speaking) to build up lateral
force. That's the lag due to tire deformation. So a tractor is like a
motorcycle. ;-)
Ofcourse, at a deeper level, you'd want to add vibrations perhaps when
the tire springs back into place. Not something that Barnard did
(there are vibrations, but more because of the maths).
As a general thing, I found that a lot of the formulae in all the
books I've seen are not readily usable in your own software. It
describes what happens, but mostly doesn't fit your own framework. And
a lot is steady state stuff, and basically the further you push away
steady state formulae, the more depth your software gets (ofcourse,
any Pacejka calculation etc are steady state).
So it's more to understand how tires & suspensions work, and then
express your own way to simulate these things (possible at so many
difficulty levels and in so many way).
I find that understanding a physical phenomenon only makes you want to
express it in your own way, as you yourself understand it. Not using
clearcut formulae from a book, mostly (which often apply with too many
assumptions).
Ruud van Gaal
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