DATA LOGGER IN MAGNETIC EXPERIMENT

1. FACULTY OF SCIENCE
AND MATHEMATICS
INFROMATION AND COMMUNICATION
TECHNOLOGY IN SCIENCE | SSI3013
GROUP ASSIGNMENT 2
NAME
1. NUR ATHIRAH FATIN
D20151070979
2. NORMALIATI A/P ALI
D20151070977
3. ELVYLENE SIA
D20151070989
GROUP A
LECTURER EN. AZMI BIN IBRAHIM
TITTLE DATA LOGGER: MAGNETIC INDUCTION

2. 2
TABLE OF CONTENT
1.0 INTRODUCTION ................................................................................3
2.0 EXPERIMENT OF MAGNETIC INDUCTION: FARADAY’S
LAW ..............................................................................................................6
3.0 CONCLUSION...................................................................................10
4.0 REFERENCES....................................................................................11

3. 3
1.0 INTRODUCTION
What is data logging?
Data logging is the collection of data over a period time, and is something often used in
scientific experiments. This includes many data acquisition devices such as plug-in boards or
serial communication systems which use a computer as a real time data recording system. Data
logging systems typically monitor a process using sensors linked to a computer. Most data
logging can be done automatically under computer control. Sensors have an important role in the
data logging process. All physical properties can be measured with sensors such as light, sound,
pressure, acidity and humidity.
The sensors send signals to an interface box, which is linked to a computer. The interface
box converts analogue signals to digital signals that the computer can understand. The computer
controlling the process will take at regular intervals. The time interval for data logging is the
time between readings. The readings then can be stored in tables and can be displayed in graphs
or passed to an application, such as spreadsheet, for later analysis.
Advantage of using data logger
There is many advantage using data logger in experiment because data loggers can take
readings more efficient with high degree of accuracy instead of using manually observation.
Experiments using data logging equipment can:
 Be left without human intervention
 Be set to take readings over a long period of time ( Hourly temperature readings every
day)
 Be set to take many readings in a short period time
 Be used when there is a safety risk involved (extreme cold or heat)
Using data loggers also can saves time from doing the experiment. Besides that, data
loggers are available in various shapes and sizes. The range includes simple economical single
channel fixed function loggers to more powerful programmable devices capable of handling

4. 4
hundreds of inputs. Using data loggers also provide are better processing and presentation of
results where the data collected from the science experiment can be processed by specialist
software or put into a spreadsheet. A table of values can be also displayed and the report can then
be saved and widely distributed in different ways for example in email, post or fax.
Disadvantage of using data logger
The disadvantage of using data logging is that the equipment used can be expensive for
small tasks. Besides, if the data logging equipment breaks down or malfunctions, some data
could be lost or not recorded. The equipment will only take readings at the logging interval
which has been set up. If something unexpected happens between recordings, the data will not be
collected.
In addition, sensors must be carefully calibrated otherwise they could be taking the wrong
readings instead of the correct readings in the experiment conducted. To use the data logger’s
equipment also needs a basic training so that they can use the equipment in their experiment.
Application of data logging
Here are some of the applications of data loggers:
i. Storage application
Data loggers can be used to monitor and record the temperature of refrigerators, freezers,
and general storage areas. The data collected can then be analysed to verify that
temperatures stayed within a user programmable safe range. Storage data loggers are
commonly used in the food and pharmaceutical industries, as well as at hospitals, blood
banks and laboratories. Many of the devices have alarming capabilities which allow for
immediate notification of an out of range condition.

5. 5
ii. Environmental monitoring
Monitoring the environmental conditions in which artwork is stored is vital to ensuring
the continual preservation of the collection. Data loggers can be used to monitor and
record the temperature, humidity and pressure levels of pieces on display or in storage.
These high technology devices can even monitor the shock conditions during transport,
providing date and time stamped data for analysis.
iii. Automotive
Monitoring various of physical parameters during the vehicle testing. The principal
concern of automotive applications is vehicle performance. Whether it is ensuring engine
fluids are maintained at optimal temperatures, or testing the durability and reliability of
the product against external factors such as shock or spectral vibrations. Automotive data
loggers provide the solution for easy and efficient data collection and analysis to ensure
vehicles are functioning at their prime.
iv. Food processing
In food industry, the data loggers are used to monitoring the cooking process,
pasteurization, chilling and freezing. In order to ensure the quality and safety of the
product, it is important to monitor the conditions in which food is processed and stored.
The product line features devices which can be placed in an oven to monitor the entire
cooking cycle, wireless models which can measure, record, and wirelessly transmit data,
and even devices with LCD screens for real-time monitoring.

6. 6
2.0 EXPERIMENT OF MAGNETIC INDUCTION: FARADAY’S LAW
A) ENGAGING PHASE
Based on both pictures above, teacher asks students what they can infer from them. Both
teacher and student brainstorming about the differences and similarities between the two
pictures. Also discuss about the direction about north and South Pole of magnet and what happen
if it’s put inside a coil.
Figure 1 shows a normal magnet where the direction of South is always going in whereas
the North Pole will always goes out from itself. In figure 2, the when the magnet is going
through a coil of wire, it generated electricity. This is because the ammeter will change direction
when the magnet is going in and out of the coil. Thus, there’re current created.
B) EXPLORE PHASE (PLANNING OF EXPERIMENT)
This second phase provide students with a common base of experiences. They will
identify and develops concepts, processes and skills. Student will actively explore their
environment or manipulate materials.
Below are the experiments conducted:
Figure 1 Normal magnet Figure 2 Magnet going through a coil of wire

7. 7
Tittle: Magnetic Induction – Faraday’s Law.
Objectives:
In this experiment, you will:
1. Uses computer to analyze the magnetic induction from a magnet going through a coil of
wire.
2. Observing the result on a computer based oscilloscope.
Materials:
1. A DrDAQ data logger running PicoScope oscilloscope software.
2. A BNC to 4 mm plugs.
3. A coil of wire.
4. A tube of 30 cm in length.
5. A magnet to drop through the tube.
Procedure:
1. A material was set up as in figure 3 or figure 4 below:
Figure 3 Figure 4

8. 8
2. Magnet was dropped through the coil, making sure to catch it before it hits the floor.
3. The induced EMF was measure with the PC Oscilloscope.
4. The PicoScope ruler was used to record the amplitude and save each of the waveforms.
Results:
Discussion:
From the experiment, the PicoScope was used to measure and analyze the induced EMF
when magent was dropped along the tube which contain coil of wire. Thus, the graph can be
analyze as in figure 5 where there were two types of pole which were the trailing and leading
pole.
Figure 5 Results of magnetic induction

9. 9
C) ENHANCE PHASE
In this phase, students were explained the concepts they have been exploring. They have
the opportunities to verbalize their conceptual understanding or to demonstrate new skills or
behaviors.
Based from the experiment, students will be asked about the two poles from the graph
which were the trailing and leading pole.
Question:
Why are there negative and positive voltages generated as the magnet passes through the coil?
Answer:
Trailing pole causes reverse in current, and in this case causes the voltage to go positive.
Leading pole causes first pulse. There were negative and positive voltages generated as the
magnet passes through the coil because in Faraday’s Law it tells us that the opposing poles of a
magnet will induce and EMF in opposite directions. This means that the first pole passes through
the coil, a voltage was induced. Same goes for the second pole passes through the coil but this
time, the voltage was induced in the opposite direction.
Figure 6 Trailing and leading pole

10. 10
D) EVALUATE PHASE
In this last phase, teacher will conclude today’s learning process and encourages
learners to assess their understanding and abilities and let teachers evaluate students’
understanding of key concepts and skill development.
3.0 CONCLUSION
In conclusion, Using of technology in teaching and learning process can improve
our education system. In the other ways, applying technology supposed to ease the
teaching and learning process. As what we can see, technology has growing faster and
was influences the direction of learning process especially in science laboratory classes.
There are many advantages using this kind of technology such as data logger in teaching
and learning process.
Using of data logger during laboratory class can make collecting of data more
easy because sampling of data is very fast and student can have time to repeat the
experiment if the data is not satisfactory. The sensors are very sensitive and they can
measure something we can't measure before. By using PicoScope oscilloscope software,
graph was plotting very smooth with accurate data which is better than graph manually.
We as a future Science teacher should be able to implement data logger in
laboratory class. This can help students and teacher to makes practical work becomes
more efficient because students do not have to spend more time to recording the data.
This also can avoids from error when student ruined the experiment.

11. 11
4.0 REFERENCES
(2013, March 27). Data logger. Retrieved on 25th March 2018 from
https://www.scribd.com/document/132645315/Data-Logger
(2014, March 24). Magnetic induction: Faraday’s Law. Retrieved on 25th March 2018 from
https://www.picotech.com/library/experiment/magnetic-induction-faradays-laws
Advantage of data loggers and disadvantage of data loggers. (2017). Retrieved from
http://www.rfwireless-world.com/Terminology/Advantages-and-Disadvantages-of-
Data-Loggers.html.
Data loggers. (t.t). Retrieved from https://www.omega.com/prodinfo/dataloggers.html.
Data logging. (2014). Retrieved from
http://www.bbc.co.uk/schools/gcsebitesize/ict/measurecontrol/3dataloggingrev1.shtml
Electromagnetic induction. Retrieved on 25th March 2018 from
http://resources.schoolscience.co.uk/CDA/16plus/copelech4pg3.html
MadgeTech. (t.t). Data loggers for storage application. Retrieved from
http://international.madgetech.com/data-
loggers/applications/storage.html?SID=9b48f3e3f213e668840c4ab8dbed75e4&___st
ore=international.
Magnetic induction using DrDAQ: Faraday’s Law. Retrieved on 24th March 2018 from
http://www.lanzo.se/applications/Magnetic%20Induction.html