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This document provides a detailed solution to a question on mathematical modelling using an empirical model. It covers the steps involved in formulating and solving an empirical model, including data analysis and interpreting results. The solution is well-structured, with clear explanations and worked examples to help students understand the process of applying empirical models in real-world scenarios. Ideal for students studying mathematical modelling, applied mathematics, or engineering courses.
Typology: Exercises
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An empirical model simply means model based on real world data collected from
measurements, experiments or observations.
An experiment of heat transfer measurement produces a data for the relationship between
Nusselt number Nu , Reynolds number Re and the Prandtl number Pr. The Nusselt number is
found to vary with the Reynolds number and the Prandtl number. Develop an empirical
model for the data given in the table below.
Exp No. Pr Re Nu
The above set of data is a multiple input (Re, Pr) single output (Nu) model data. The
relationship between them can be expressed in the form of a power law equation.
๐
๐
Note: This equation will be called a linear equation if b and c equal 1 but that can only be
known after we solve for the variables a, b and c.
The goal here is to solve a set of linear equations that will give values for a, b and c. the best
way to get rid of the power is to take the natural logarithm of both sides.
๐
๐
ln Nu = ln (a โ Pr
b
โ Re
c
ln Nu = ln a + ln(Pr
b
) + ln(Re
c
ln Nu = ln a + b ln(Pr) + c ln(Re)
To simplify the solution we introduce variables to represent the logarithms.
Let: Z=ln Nu, A=ln a, X=ln Pr and Y=ln Re
We have 3 unknowns which means 3 equations are needed.
The first equation is gotten from the addition of the equation above for all the 6 data
obtained. I.e.
1
2
3
4
5
6
ฮฃZ = A + bX1 + cY1 + A + bX2 + cY2 + A + bX3 + cY3 + A + bX4 + cY4 + A + bX
The second and third equation can be found by finding an equation for ฮฃXZ, ฮฃYZ.
๐
๐
Now we can input values for the variables in I, II and III.
The final equations become:
Exp
No.
Pr Re Nu X=ln Pr Y=ln Re Z= ln Nu XY XZ YZ X
2
Y
2
1
1.46 4000 4.2 0.378436 8.294050 1.435085 3.138771 0.543088 11.
4
2
1.42 3500 3.54 0.350657 8.160518 1.264127 2.861542 0.443275 10.
0
3
1.37 3250 3.12 0.314811 8.086410 1.137833 2.545689 0.358202 9.
6
4
1.2 3900 2.7 0.182322 8.268732 0.993252 1.507568 0.181091 8.
1
5
1.18 3450 2.58 0.165514 8.146130 0.947789 1.348302 0.156873 7.
5
6
1.21 3250 2.41 0.190620 8.086410 0.879627 1.541434 0.167675 7.
6
ฮฃ 1.
49.
0
6.657712 12.943306 1.850204 54.
0.
2
400.