AE & ME Laboratory: Common Resources
Uncertainty Analysis Using Maple

Description

This page is a reformated version of the Nusselt Number uncertainty analysis example that Dr. Daniel Cole constructed for the ME 370 course when he taught it in the Fall of 1996. I have not altered the content of this page. -- Jeff Taylor

Nusselt Number Example

D.E. Cole

> restart;

For this example, Maple V will be utilized to determine the uncertainty in the calculation of

the Nusselt number using the method presented by Kline and McClintock..

Define the functional relationship for the Nusselt number. Here:

> Nu := h*d/k;

[Maple Math]

Define the relationship for the uncertainty in the Nusselt number.

> u_Nu:=sqrt((Diff(Nu,h)*u_h)^2+(Diff(Nu,d)*u_d)^2+(Diff(Nu,k)*u_k^2));

[Maple Math]

Evaluate the derivatives in the above expression by replacing the capital "D" in Diff with "d"..

> u_Nu:=sqrt((diff(Nu,h)*u_h)^2+(diff(Nu,d)*u_d)^2+(diff(Nu,k)*u_k^2));

[Maple Math]

Insert the nominal values and uncertainties. (Watch your units!)

> h:=150: d:=20/1000: k:=0.6:

> u_h:=h*0.07: u_d:=0.5/1000: u_k:= k*0.02:

Calculate the uncertainty in the Nusselt number.

> u_Nu;

[Maple Math]

Calculate the nominal value for the Nusselt number.

> evalf(Nu);

[Maple Math]

Therefore, the result can be expressed as: 5.00 +/- 0.37.