Calculating Cd and Crr coefficient experimentally

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The discussion revolves around the implementation of drag coefficient (Cd) and rolling resistance coefficient (Crr) calculations based on experimental data. The user has derived a polynomial equation to approximate speed but struggles to correlate this with real data to extract Cd and Crr. They explore using the Levenberg-Marquardt algorithm for minimization but express uncertainty about how to apply it to their existing data. It is noted that the real motion curve is not quadratic, complicating the extraction of coefficients from the polynomial fit. Accurate measurements and a more precise model are emphasized as crucial for obtaining reliable results.
  • #51
If I let pass a line through lower-speed points, I see that 4 points out of 8 match the line:

http://imageshack.com/a/img819/5869/qsub.jpg

A line passing through hi-speed points just matches with 2 point; i reverse the graph for better readibility of next one: now speed is on the X axis and seconds are on Y axis:

http://img850.imageshack.us/img850/469/exym.jpg


Overlapping the known graph of air drag and rolling friction forces, it appears clear why data get non-linear as speed increases:
http://imageshack.com/a/img546/1932/fmhx.jpg

Indeed, at higher speeds the v^2 term prevail.

So probably the low speed data should be used to determine Crr, then the high-speed data and the value of the now-known Crr would allow a precise calculation of Cd.

To be verified.
 
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  • #52
I am not sure where you are going - or want to be going with that. #46 is a compete solution of the problem. I do not see why you need to invent anything else.
 
  • #53
Charts: trying to understand/explain the phenomenon
New data: test the model
 
  • #54
Motion equation:

$$ \dot v = a(1 + \alpha^2 v^2) $$


Integrated from initial speed ##v_i## to any speed v:

$$ arctan(\alpha v ) - \arctan (\alpha v_i) = a \alpha \Delta t $$
##\Delta t =t(v)-t(v_i)##


Reordering:

$$ arctan(\alpha v ) = a \alpha \Delta t + \arctan (\alpha v_i)$$

Applying tan():
$$ \alpha v = tan(a \alpha \Delta t + \arctan (\alpha v_i))$$
$$ v = \frac 1 \alpha tan(a \alpha \Delta t + \arctan (\alpha v_i))$$

Using new notation, more readable and easily usable in Excel and other math SW:
$$ v = \frac 1 B tan(A B T + \arctan (B v_i))$$
##a = A##
##\alpha = B##
##\Delta t = T##

v = (1/B) tan(A*B*T + arctan(B*I))
##I=v_i##

Considering initial time t=0 , and using x in place of t for final time, and y for v, we can write in the usal form y=f(x):

(4) y = (1/B) tan(A*B*x + arctan(B*I))


Where:

(2) ##B = \alpha = \sqrt {\frac \rho {2g}} \sqrt {\frac S m} \sqrt {\frac { C_d }{C_r}} = 0.25 \sqrt {\frac S m} \sqrt {\frac { C_d }{C_r}}##

(3) ##A = a = -gC_r ##

S= frontal area (Surface)


We could play with equation (4) in a math SW by trimming A and B, but so we would not be able to directly know how Cd and Crr change as curve chages, so let's expand the constants to obtain a y=f(x) function depending on Cd and Crr rather than A and B:


Once S and m are known we can set:

## K = 0.25 \sqrt {\frac S m} ##

so:
(2b) ##B=K \sqrt {\frac { C_d }{C_r}}##

And:

##AB = (-gC_r) K \sqrt {\frac { C_d }{C_r}} = -g K \sqrt {\frac { C_d C_r^2}{C_r}} = -g K \sqrt {C_d C_r} ##


So we can finally express v as a function of just Cd and Crr rather than A and B:

$$ v = \frac 1 B tan(A B T + \arctan (B v_i))$$
$$ v = \frac 1 {K \sqrt {\frac { C_d }{C_r}}} tan(-g T K \sqrt {C_d C_r} + \arctan ({K \sqrt {\frac { C_d }{C_r}}}v_i)) $$ =
$$\frac 1 {\frac 1 4 \sqrt {\frac S m} \sqrt {\frac { C_d }{C_r}}} tan(-g T \frac 1 4 \sqrt {\frac S m} \sqrt {C_d C_r} + \arctan ({\frac 1 4 \sqrt {\frac S m} \sqrt {\frac { C_d }{C_r}}}v_i)) $$=

$$4 \sqrt \frac m S \sqrt \frac {C_r}{C_d} tan(-g T \frac 1 4 \sqrt {\frac S m} \sqrt {C_d C_r} + \arctan ({\frac 1 4 \sqrt {\frac S m} \sqrt {\frac { C_d }{C_r}}}v_i)) $$

$$4 \sqrt \frac {mC_r}{SC_d}tan(-2.45 T \sqrt \frac{SC_dC_r}{m} + arctan(\frac {v_i}4 \sqrt \frac{SC_d}{mC_r}))$$


We can now express this equation in "planar" form for math SW:

(4d) y =4*sqrt((m*R)/(S*D)) * tan(-2.45 * x * sqrt((S*D*R)/m) + arctan ((I/4)*sqrt((S*D)/(m*R))))

A2=Cd=D
B2=Cr=R
C2=K=0.25*sqrt(S/m)
D2=S
E2=m
F2=Vi

B4...Bn: x values

(4e) y = 4*sqrt(($E$2*$B$2)/($D$2*$A$2)) * tan(-2.45 * $B4 * sqrt(($D$2*$A$2*$B$2)/$E$2) + arctan (($F$2/4)*sqrt(($D$2*$A$2)/($E$2*$B$2))))

So now we can plot it in WinPlot and play with D and R (Cd and Crr) to see how curve changes and fits to experimental data.

B4...Bn (x values) are time instants in seconds.
y is the speed after x seconds starting from Vi speed (Vi =I in Winplot, Vi=F2 in Excel).
 
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  • #55
Damn, it does not work both in excel and winplot... :-(
 
  • #56
jumpjack said:
Damn, it does not work both in excel and winplot... :-(
Ok, now fixed.
 
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