Determining the coefficient of viscosity of water (Graph Problem)

Click For Summary
The discussion revolves around an experiment to determine the coefficient of viscosity of water using capillary flow, where the graph of flow rate (Q) against height (h) is expected to be linear and pass through the origin. The participant's graph does not pass through the origin, cutting the y-axis at 8×10^-7, leading to concerns about its impact on the viscosity calculation. After recalculating using a hand-drawn graph, a viscosity value of 2.06 × 10^-3 Pa⋅s was obtained, which is significantly higher than the actual value of 8.90 × 10^-4 Pa⋅s, indicating a large percentage error. Suggestions were made to improve the experimental technique and consider factors like the hydrodynamic entrance effect, while cautioning against trusting a best-fit line that perfectly intersects the origin due to inherent experimental errors. Overall, the discussion highlights the challenges in accurately determining viscosity and the importance of careful data analysis.
WhiteWolf98
Messages
89
Reaction score
8

Homework Statement


So, the question is based around an experiment to determine the coefficient of viscosity for water (by capillary flow).
Part of the experiment involved producing a graph of Q against h. This graph is supposed to be linear, and is supposed to pass through the origin.
As can be the seen in the equation, the gradient of the graph is supposed to be used in the calculation. The problem is my graph doesn't go through the origin, so I was wondering what to do about it. Thanks

Homework Equations


η=ρgπr^4/8l*1/slope

The Attempt at a Solution

 
Physics news on Phys.org
WhiteWolf98 said:
my graph doesn't go through the origin
Can you post the data in cut-and-pastable form? Failing that, can you post the graph?
 
IMG_20180405_132604.jpg


The Results

e8709124e4fff0bb036b77d7516a1256.png


The Graph

2c1fb590a8442ed690feedacca2af115.png
 

Attachments

  • IMG_20180405_132604.jpg
    IMG_20180405_132604.jpg
    22.8 KB · Views: 2,573
  • e8709124e4fff0bb036b77d7516a1256.png
    e8709124e4fff0bb036b77d7516a1256.png
    14.6 KB · Views: 1,446
  • 2c1fb590a8442ed690feedacca2af115.png
    2c1fb590a8442ed690feedacca2af115.png
    8.4 KB · Views: 1,344
I plotted the data of h vs Q, and did a straight line fit to the data. It seems to me the straight line fit passes very close to the origin.
 
  • Like
Likes Charles Link
Oh yeah, well, it cuts the y-axis at 8×10^-7. It is very, very close, but I was wondering if that had any effect on the value I obtain for the coefficient of viscosity because the value I calculated was very far off from the actual value
 
WhiteWolf98 said:
Oh yeah, well, it cuts the y-axis at 8×10^-7. It is very, very close, but I was wondering if that had any effect on the value I obtain for the coefficient of viscosity because the value I calculated was very far off from the actual value
You didn't really expect it to pass exactly through the origin, did you.

Let's see your calculation.
 
  • Like
Likes Charles Link
Uhm, maybe I did, oops. Ehehe

Calculation:
ρ=10^3
g=9.81
r=0.65×10^-3
L=15.5×10^-2

Hence, overall calculation is:

η=[(10^3×9.81×π×(0.65×10^-3)^4)/8(15.5×10^-2)]×1/1×10^-7=0.0444 Pa⋅s (to 3 s.f.)
 
From your data, I get a viscosity of 0.0018 Pa.s
 
  • Like
Likes WhiteWolf98
Could you show me the calculation please?
 
  • #10
It looks like your curve fit is way off. I get a curve fit of: ##y=-2.38\times 10^{-8}+2.233\times 10^{-6}x##
 
  • Like
Likes WhiteWolf98 and Charles Link
  • #11
WhiteWolf98 said:
it cuts the y-axis at 8×10^-7
It cuts the y-axis of the graph you posted at that value, but that axis is not at x=0.
 
  • Like
Likes WhiteWolf98, Charles Link and Chestermiller
  • #12
Chestermiller said:
It looks like your curve fit is way off. I get a curve fit of: ##y=-2.38\times 10^{-8}+2.233\times 10^{-6}x##
Edit: I agree.
 
  • #13
Alrighty! So first of all, apologies for the late reply. I took your points into consideration, and decided just to draw the graph by hand. Using that graph, I managed to obtain a value for the coefficient of viscosity as ##2.06 × 10^{-3} Pa⋅s##. The actual value is ##8.90 × 10^{−4} Pa·s## according to this source. That's still over a 100% percentage error though; is that really the best I can do? Thank you all for your help!
 
  • #14
WhiteWolf98 said:
Alrighty! So first of all, apologies for the late reply. I took your points into consideration, and decided just to draw the graph by hand. Using that graph, I managed to obtain a value for the coefficient of viscosity as ##2.06 × 10^{-3} Pa⋅s##. The actual value is ##8.90 × 10^{−4} Pa·s## according to this source. That's still over a 100% percentage error though; is that really the best I can do? Thank you all for your help!
It's hard to say without seeing in person the actual experimental procedure being performed, and the apparatus. There are other things you might look at like the hydrodynamic entrance effect (probably not important). This could be ascertained by varying the length of the tube. Also, there seems to be a lot of scatter in the data, and this might be improved by better technique.
 
  • Like
Likes Charles Link
  • #15
Chestermiller said:
It's hard to say without seeing in person the actual experimental procedure being performed, and the apparatus. There are other things you might look at like the hydrodynamic entrance effect (probably not important). This could be ascertained by varying the length of the tube. Also, there seems to be a lot of scatter in the data, and this might be improved by better technique.

Understood, guess that's finally sorted; and somehow, my line of best fit for my hand-drawn graph went exactly through the origin. Thank you Chestermiller, and everyone else for your input in solving this. Have a good day
 
  • #16
WhiteWolf98 said:
Understood, guess that's finally sorted; and somehow, my line of best fit for my hand-drawn graph went exactly through the origin. Thank you Chestermiller, and everyone else for your input in solving this. Have a good day

I would be suspicious of a best-fit-line that goes exactly through the origin. The chance of that happening is essentially zero, because there are always experimental errors (random or otherwlse) in any real experiment, and that will almost always give you a line that does not pass exactly through (0,0). However, if the errors are truly random (and "statistically independent) there are statistical tests you can perform to check if the true (unknown and unobservable) intercept could really be zero. That is different saying that any particular best-fit-line goes through (0,0).
 
  • #17
WhiteWolf98 said:
That's still over a 100% percentage error though
Take a look at your relevant equation. Can you see a parameter to which the result will be highly sensitive? How accurately is that parameter known in your experiment?
 

Similar threads

  • · Replies 16 ·
Replies
16
Views
2K
Replies
22
Views
5K
  • · Replies 3 ·
Replies
3
Views
5K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 4 ·
Replies
4
Views
12K
  • · Replies 15 ·
Replies
15
Views
5K
Replies
6
Views
2K
Replies
1
Views
1K
  • · Replies 15 ·
Replies
15
Views
4K