Solution to Mathematical Modelling - Empirical Model, Exercises of Mathematical Modeling and Simulation

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

2024/2025

Available from 04/07/2025

adebara-oluwatobiloba
adebara-oluwatobiloba ๐Ÿ‡ณ๐Ÿ‡ฌ

1 document

1 / 3

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
COURSE: MATHEMATICAL MODELLING OF MECHANICAL SYSTEMS
DEVELOPMENT OF EMPIRICAL MODELS FROM EXPERIMENTAL DATA PRACTICE QUESTION
An empirical model simply means model based on real world data collected from
measurements, experiments or observations.
PRACTICE QUESTION
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
1
1.46
4000
4.20
2
1.42
3500
3.54
3
1.37
3250
3.12
4
1.20
3900
2.70
5
1.18
3450
2.58
6
1.21
3250
2.41
SOLUTION
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.
๏ฟฝ๏ฟฝ=๏ฟฝโˆ—๏ฟฝ๏ฟฝ๏ฟฝโˆ—๏ฟฝ๏ฟฝ๏ฟฝ
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.
๏ฟฝ๏ฟฝ=๏ฟฝโˆ—๏ฟฝ๏ฟฝ๏ฟฝโˆ—๏ฟฝ๏ฟฝ๏ฟฝ
lnNu=ln(aโˆ—Prbโˆ—Rec)
lnNu=lna+ln(Prb)+ln(Rec)
pf3

Partial preview of the text

Download Solution to Mathematical Modelling - Empirical Model and more Exercises Mathematical Modeling and Simulation in PDF only on Docsity!

COURSE: MATHEMATICAL MODELLING OF MECHANICAL SYSTEMS

DEVELOPMENT OF EMPIRICAL MODELS FROM EXPERIMENTAL DATA PRACTICE QUESTION

An empirical model simply means model based on real world data collected from

measurements, experiments or observations.

PRACTICE QUESTION

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

SOLUTION

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 โˆ— Pr

b

โˆ— 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.

ฮฃZ =

Z

1

+ Z

2

+ Z

3

+ Z

4

+ Z

5

+ Z

6

ฮฃZ = A + bX1 + cY1 + A + bX2 + cY2 + A + bX3 + cY3 + A + bX4 + cY4 + A + bX

  • cY5 + A + bX6 + cY

โˆด ๐€๐€ = ๐€๐€ + ๐€๐€๐–ฐ€ + ๐€๐€๐—€€ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ .. I

The second and third equation can be found by finding an equation for ฮฃXZ, ฮฃYZ.

๐€

. II

๐€

โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ .. III

A NEW TABLE CORRESPONDING TO THE VARIABLES INTRODUCED WILL BE PRODUCED IN

ORDER TO OBTAIN VALUES FOR THE NEW VARIABLES.

Now we can input values for the variables in I, II and III.

The final equations become:

๐€. ๐€๔…€€๐€๐€๐€๐€ = ๐€๐€ + ๐€. ๔…€€๔„ฐ€๐€๔… €๐€๔„€€ ๐€ + ๐€๔„ €. ๔„€€๐€๐€๐€๔…€€๔„€€ ๐€ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ .. โ€ฆโ€ฆโ€ฆ .. I

๐€. ๔„ฐ€๔…€€๔„€€๐€๔„€€๐€ = ๐€. ๔…€€๔„ฐ€๐€๔… €๐€๔„€€ ๐€ + ๔„€€. ๐€๐€๐€๐€๔…€€๐€ ๐€ + ๐€๐€. ๔„ €๐€๔… €๔… €๔„€€๐€ ๐€ .. โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ. II

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.