#SciChallenge2017 Project Prepared By : Erdem Çamlıoğlu & Mustafa Berk Alkoç Advisor : Ayhan Aykara

1. Computer Based
Thermal
Conductivity
Coefficent
Measurement Device
Erdem Çamlıoğlu – Mustafa Berk Alkoç – Advisor: Ayhan Aykara
#SciChallenge2017

2. The Aim of The Project 🌏
Providing energy efficiency by reducing energy
loss to minimum level.

3. “The Importance of
Heat Insulation
When examined from the point of the view
of daily use, the individual users in the
houses can not be in an economical way as
a result of the heat loss they experience.
From a scientific point of view, it may be
necessary to have good heat insulators or
good heat conductors for varying
conditions in order to ensure that the heat
value is a certain constant and is not
influenced by the environment.

4. Presentation Content
Fourier Heat Transfer Law
Design Stage of The Device
Circuit Materials
Algorithm
Microcontroller Interface

5. Fourier Heat Transfer Law
Heat conduction is the passage of heat from the hot zone to the cold zone in solid
materials or fluids.
In this equation, ΔT (K) represents the temperature difference between the surfaces of a
solid material with different surface temperatures such as T1 and T2 shown below.
∆𝐐
∆𝐭
= −𝐤. 𝐀.
∆𝐓
∆𝐱

6. Design Stage of The Device
At this stage, we wanted to create a
portable instrument with a wide
measurement range.

7. Circuit Materials
Arduino Uno R3 Heat and Temperature
Sensor (DS18B20)
Heat Source
(Processor)
Black Box LCD Display and I2C
Module (TC1602D)
Button, Buzzer,
Material Type
Indicator Box and
Reset Button

8. Circuit Materials
Power Stabilization Circuit Connection of Temperature Sensors

9. Circuit Materials

10. “ Controlling the temperature of the heat source in the medium to be measured in the
circuit with the sensors(35℃). Be alerted until you are ready.
Transfer of the data from the two sensors to the corresponding file via the created
microcontroller interface after measurement starts.
Recording of data at specified intervals according to the state of the measured
material of incoming heat difference data.
Applying the recorded difference data on the formula using the dimension and
thickness information of the material and instantaneous transfer of the information.
Audible warning and recording of the heat transfer coefficient when the average time
of the measurement results is reached.
1
2
3
4
5

11. Work Process
Data Collecting
The values ​​of the heat
transfer coefficient of
the materials to be
measured in the
project work were
obtained by using
reference points from
certain sources and
then recorded for use
in measurement
results.
Measurement Phase
The algorithm created
on the computer
during the project,
reads the given and
received heat
values ​​and processes
them in the system.
Result Phase
Accepted
values ​​are
recorded by
processing with the
form on the system
and can be taken
as a graph.

12. Materials Conductivity Detection
The
conductivity
grade should
be below
0.065 (W/mK).
Insulator
Materials
Conductive
Materials

13. %1,61Error share for conductive materials,
%2,03Error share for insulator materials.

14. Microcontroller Interface

15. Desktop Control

16. Accessible from the smart
devices

17. 17

18. Conductive
Materials
76%
Insulator
Materials
24%
Conductive Materials
Insulator Materials

19. No. Material Heat Transfer Coefficient
(W/m.K)
Heat Transfer Coefficient (Measured)
(W/m.K)
1. Stainless Steel 16 17± 0,27
2. Steel 46 46± 0,74
3. Virgin 385 220*
4. Iron 80 80± 1,28
5. Yellow Brass 85 85± 1,36
6. Aluminum 215 212± 3,41
7. Lead 34.7 36.3± 0,58
8. Zinc 116 116± 1,86
9. Wood 0.072 0.073± 0,001
10. Glass 0.8 0.8± 0,12
11. Ceramic 1.05 1.10± 0,01
12. Cardboard 0.21 0.22± 0,003
13. Plastic 0.13 0.13± 0,002
14. Plaster 0.71 0.72± 0,01
15. Brick 0.6 0.6± 0,009
16. Polymethylmet
hacrylate
0.19-0.25 0.24± 0,003
* The maximum measuring range of the device is 220 W/m.K.
Conductive
Materials

20. No. Material Heat Transfer
Coefficient (W/m.K)
Heat Transfer Coefficient
(Measured)(W/m.K)
1. Felt 0.04 0.039± 0,0007
2. Paper 0.05 0.05± 0,001
3. Styrofoam 0.039 0.042± 0,0008
4. Cotton 0.04 0.04± 0,0006
5. Polyester 0.05 0.05± 0,001
Insulator
Materials

21. Device – Market Comparison
Large
Measuremen
t Range
Portable and
Computer-
aided
Economic
🔌

22. Result
 Measurement can be taken in a short time (5-10 minutes) and
transferable to computer.
 Economic
 Low energy use
 Portable
 Usable with USB input
 Open to improvement
 Measurement of materials with optional values (Maximum 7
cm thickness and 2 cm height)
 An audible warning is given when the heat source reaches
the required temperature and the result is received.
 Low error share
 Measurement range is 0-220 W/mK

23. Thank You!

24. REFERENCES
▸ Yalçın, C. (2008). Temel Fizik(Cilt 1), Arkadaş Yayınevi, Ankara
▸ Serway, R. (2007). Fen ve Mühendislik İçin Fizik(Cilt 1), Palme Yayıncılık, Ankara
▸ Taşdemir, C.(2015). Arduino, Dikeyeksen Yayınları, İstanbul.
▸ Durmuş, A. (2011). Isı İletim Katsayısının Ölçümü Deney Föyü, Ondokuz Mayıs Üniversitesi Mühendislik
Fakültesi Makine Mühendisliği Bölümü, 1-9, Erişim Tarihi: 14.12.2016,
▸ http://mf.omu.edu.tr/makina/wp-content/uploads/sites/10/2011/12/deney-Is%C4%B1-%C4%B0letim-
katsay%C4%B1sn%C4%B1n-tespiti-yedek.pdf
▸ DS18B20 Programmable Resolution 1-Wire® Digital Thermometer, Erişim Tarihi : 26.12.2016,
http://cdn.sparkfun.com/datasheets/Sensors/Temp/DS18B20.pdf
▸ Thermal Conductivity of some common Materials, Erişim Tarihi : 17.11.2016,
http://www.engineeringtoolbox.com/thermal-conductivity-d_429.html
▸ Physics Resources Datasabe, Thermal Conductivities, Erişim Tarihi : 24.12.2016,
http://www.physics.usyd.edu.au/teach_res/db/d0005e.htm
▸ Thermal Conductivity, Erişim Tarihi : 27.12.2016,
http://hyperphysics.phy-astr.gsu.edu/hbase/Tables/thrcn.html#c1