Uncertainty - Reynolds number and the friction factor

Click For Summary
SUMMARY

The discussion focuses on the proper representation of Reynolds number and friction factor values, emphasizing the significance of uncertainty in measurements. The calculated Reynolds number of 94988.9752496553 has an uncertainty of ±0.4%, while the friction factor has an uncertainty of ±0.1%. Participants agree that the number of significant figures should reflect the uncertainty, suggesting that the Reynolds number should be reported with 3 significant figures and the friction factor with 4 significant figures. The consensus is to avoid reporting uncertainties as zero, as it does not provide useful information.

PREREQUISITES
  • Understanding of Reynolds number and its significance in fluid dynamics
  • Familiarity with the concept of significant figures in scientific measurements
  • Knowledge of uncertainty calculations and their implications
  • Basic proficiency in scientific notation and formatting
NEXT STEPS
  • Research the principles of fluid dynamics and the role of Reynolds number
  • Study the rules for calculating and reporting uncertainties in measurements
  • Explore best practices for significant figures in scientific reporting
  • Learn about the application of scientific notation in engineering contexts
USEFUL FOR

Students and professionals in engineering, physics, and any field that requires precise measurement and reporting of fluid dynamics parameters, particularly those dealing with Reynolds numbers and friction factors.

Joon
Messages
85
Reaction score
2

Homework Statement


Correctly present the table of information. The values in the table are deliberately in a wrong format.

The calculated Re values have been analysed to have an uncertainty of ± 0.4% and the calculated f values an uncertainty of ± 0.1%.

Homework Equations

The Attempt at a Solution



From the table attached, the first Reynolds number is 94988.9752496553.
I need to fix the number of decimal places (reduce or simplify).
[/B]

What I have tried is calculating the uncertainty for this number, 94988.9752496553 x 0.004 = 379.955901.
Since the number of decimal places must be the same for a value and its uncertainty, should I change the Reynolds number to 6 decimal places? Please help.

It is similar for the friction factor f, the values are up to 10 decimal places and I need to simplify the values in the table.

Thank you.

 

Attachments

  • Uncertainty.png
    Uncertainty.png
    15.1 KB · Views: 515
Last edited:
Physics news on Phys.org
Hi,
Joon said:
should I change the Reynolds number to 6 decimal places?
No.

You are given a single digit relative error, so you can not trust more than one digit of the error in Re. 379.955901 is preposterous. One digit means e.g. the first one is ( 95.0 ##\pm## 0.4 ) * 103 .
For the last one, you would get ( 35.9 ##\pm## 0.1 ) * 103 .
 
  • Like
Likes   Reactions: scottdave
But I don't get why you said +-0.4 or +-0.1 when they are percentage uncertainty
0.4% of 95.0 is 0.4
0.4% of 35.9 is 0.1
 
Thanks, I get it.

Should I say (9.50 +- 0.04 ) x 10^4 or (95.0 +-0.4) x 10^3?
I know both are correct but is the first one better?
 
I can't see a preference for one or the other.
 
Thanks a lot for your replies, I very much appreciate it!
 
Sorry but I have one more question.

For the friction factors, f, how many significant figures would be the most ideal?
e.g. for the first one, if 3 s.f are taken into account, it becomes (1.96 +- 0.00) x 10^(-2) and 0.00 uncertainties for all the rest. If 4 s.f are taken into account then all the uncertainties become (+- 0.002) x 10^(-2).

To consider uncertainties, would it be better to choose the latter option?
 
Last edited:
You have 0.1% as the given uncertainty in the f values. That is 1 in 1000 -- that is four figures!

(equally, with 0.1% relative uncertainty, 0.5 in 500 requires you to report 500.0 ##\pm## 0.5 )

Stating an uncertainty of 0.00 isn't helpful

So (1960 ##\pm ## 2) ##\times ## 10-5
But I would personally prefer to report (19.60 ##\pm ## 0.02) ##\times ## 10-3
(engineers do that often: pick powers of 1000).
(even though I'm not an engineer:smile:)
Perhaps people who do a lot of programming would like (1.960 ##\pm ## 0.002) ##\times ## 10-2
(1 digit before the decimal point) Excel, e.g., does it like that for format 'scientific'-- but excel isn't the law.

De gustibus non disputandum :wideeyed:
 
  • Like
Likes   Reactions: Joon
Thanks, I get it. To make sure if I understood 100%, I'll write how I approached to the problem, could you check my steps please?

For the Reynolds numbers, 0.4% is 1 in 250, which is 1/250. Following the rules of uncertainty calculations, Reynolds number (with decimals up to 10) / 250 (3 significant figures) should end up with a value of 3 s.f.

Similarly, for the f values, it is 1 in 1000, which means f values(up to 10 decimal places) / 1000(4 s.f.) should end up with a value of 4 s.f.
Am I correct?

There's something I cannot understand though, following the rules of uncertainty calculation, shouldn't it be the same for multiplication and division? (ending up with a value that has the same number of s.f. as the factor that has the least number of s.f.?) E.g. 191049820 * 0.004 should end up with a value of 1 s.f. as 0.004 has 1 s.f.
 
  • #10
Joon said:
shouldn't it be the same for multiplication and division
I think so, yes.
The 4 as single signifcant figure (without further information) means the factor is 3.5 to 4.5 times 10-3, so the product is between 67 and 86 times 104. Best you can do is report is 8 ##\times## 104.

Similarly, suppose you get 191049820 / 0.004 then the quotient is (4.8 -- between 5.5 and 4.2) times 1010 and stating 4.8 1010 would artificially reduce the perceived accuracy by an unjustified factor of 10. Therefore: 5 1010

##\ ##
 
  • #11
Thank you. I have successfully completed my task, thanks again for your help.
Have a nice day!
 
  • Like
Likes   Reactions: BvU

Similar threads

Replies
4
Views
2K
  • · Replies 6 ·
Replies
6
Views
589
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
14
Views
6K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 25 ·
Replies
25
Views
1K
Replies
31
Views
4K