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Advanced IOT BASED SOLAR AND MOTOR OPERATED ELECTROMOTIVE MAGLEV TRAIN MODEL
1. “
”
International Advanced Research Journal In Science
Engineering Technology
(IARJSET-2023)
Buddha Institute of Technology , GIDA, Gorakhpur
Date of Conference: 5 May, 2023
Paper Title: “ADVANCE IOT BASED SOLAR AND MOTOR
OPERATED ELECTROMOTIVE MAGLEV TRAIN MODEL ”
Presented By:
1. Naveen Kumar Singh
2. Mohan Kumar Gupta
3. Sandeep Nishad
4. Mohd Arman Khan
Under the Guidance of:
Mr. Puneet Kumar Bhatia
Asst. Prof., Department of
Mechanical Engineering, Buddha
Institute of Technology, Gorakhpur,
UP.
2. Contents
• Introduction
• Component
• Literature Survey
• Research Gap
• Problem Statement
• Proposed Solution / Methodology
• Experimental Results
• Conclusion & Future Work
• References
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3. Introduction
The Advance IOT based solar and motor operated electromotive maglev train model is
working by the principle of magnetic levitation. magnetic suspension is a technique by
which an object is suspended with no support other than magnetic fields. Magnetic force is
rummage to counteract the effects of the gravitational and any other accelerations.
The magnet will repeal each other . it cause the magnetic train will floating in the air and a
exhauster fan is fitted on the Maglev train and the fan Exhauster is apply trust force on the
train .it cause the train will move and the movement of train will control by IOT (internet
of things).such an increase or decrease the speed of fan. the power is supply by a solar
panel and some energy is store in a battery to run the IOT system.
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4. Component
1 Male female wire- it is used to connect the NodeMCU to power supply . and it is also
used to transfer the data from nodeMCU to other device such as fan exhauster, light.
Fig(1) male female
2 Wood- The wood is a type of material which have good insulation property and good
strength .it is used to create a frame of maglev train
Fig (2). Wood
3 Exhaust Fan – it is used to create a thrust force on the maglev train which will help
to move the maglev train in foreword direction and also we will increased and
decreased the speed of maglev train by exhaust fan speed
Fig(3) Exhaust fan.
5. 4 NodeMCU- it is used to store the program and control all the activity based on
the install program. This NodeMCU control by online by server.
Fig 4. NodeMCU
5 Solar panel- it is used to convert solar energy into electrical energy. That energy
is used for running the maglev train equipment.
Fig(5) Solar panel
6 Magnetic strip- it is used to reduce the friction between track and wheel. due to
repulsion of magnetic strip the maglev train float ing air.
Fig (6) Magnetic strip
BIT
6. Literature Survey
4
Sr.
NO
AUTHOR ‘S
NAME
RESEARCH PAPER OUTCOME
1. Farheen Jahan,
Shweta Bisht
Feasibility study of Maglev Trains on
existing Railways infrastructure.
5 September 2016
The Maglev train have been
compared with other high speed
mean of transportation such as air
Transport.
2. Sonia Arora and
Ayushi Verma
The Railway Maglev reached rapid
stage of development.
12 December 2020.
The tracking equipments need to be
examined urgently to avoid possible
security hazards for the service of
maglev trains.
3.
Sujay Jaiaraman and
Madhu.S
Maglev technology and
Electromagnetic Suspension.
20 May 2019.
This paper involves the design,
hardware, maglev technology,
application and future uses of
“magnetic levitation trains.”
4. Abejubbh Qadir The energy consumption of
transportation sector .
10 June 2019
Reducing the energy consumption of
transportation sector amount
significance to effort aimed at
alleviating the energy crises.
7. Research Gap
Tracking of maglev train are also necessary that's why we use IOT system to track and
control of Maglev Train.
To overcome the difference in prior works we have developed a prototype for an energy
efficient Maglev Train.
Maglev train are based on magnetic levitation so it will reduce the friction force between
them.
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8. Problem Statement
There is a large friction between electric electromotive train ,wheel and track. it cause
more electrical energy loss.
More electrical energy required to run the train.
Low speed.
The electricity problem occurring in ruler area and school and hospital.
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9. Proposed Methodology / Solution
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Analysis of problem
Study of research paper
Design of model
working and testing on model
11. Experimental Results
Assumption:
1.The model is in the presence of sunlight.
2.Neglect the friction between exhaust fan shaft and bearing.
3.Neglect the heat loss from model to surrounding.
4.Steady state operation.
Calculation:
Solar panel will provided = 12 V
Solar panel will provided = 1.6667 A
Power produce by solar panel (P)=V*I=12*16777=20w --(1)
Exhaust fan maximum rotation speed= 2500 Rpm
Diameter of exhaust fan = 10 cm=0.1m
Dimension of exhaust fan= 15*15*10cm =0.002292 m3
Density of air = 1.4 -at NTP
Revolution per sec = 2500/60=41.667 8
12. Angular velocity (w)=41.667*2*3.14 =261.668 rad/sec
Force= mrw2= 0.0229*.005*261.66*261.66 = 7.839 N
The fan exert this force on the particle. By Newton third law to every action there is equal and
opposite reaction . So due to air drag force the maglev train move forward direction.
Fig.7 Working Model Image of Advance IOT based solar
and motor operated electromotive maglev train .
13. Conclusion & Future Work
Energy saving operation
There is a less risk factor.
These trains are weather proof, which means rain, snow, or severe cold don’t really hamper
their performance
Maglev train uses less energy unto 30% than normal train.
They are less expensive to operate and maintain, because the absence of rolling friction
means that parts do not wear out quickly.
Rural area will be provide electric more time, that electricity we are using from electric
train.
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14. References
Shwetha singh , Aradhana singh. “Magnetic Levitation Methods and Modeling in
Maglev Trains”, 2014 ISSN: 2277 128 xx.
H. Behbahani , H. Yaghoubi, and M. A. Rezvani, “Development of technical and
economical models .
widespread application of magnetic levitation system in public transport,” International
Journal of Civ
H. Yaghoubi and H. Ziari, “Assessment of structural analysis and design principles for
maglev guideway: a case-study for implementing low-speed maglev systems in Iran,” in
Proceedings of the 1st International
Hari gupta ,M.A Rezvani Conference on Railway Engineering, High-speed Railway, Heavy
Haul Railway and Urban Rail Transit, pp. China Railway Publishing House, Beijing Jia otong
University, Beijing, China, 2010.
H. Yaghoubi and M. A. Rezvani, “Development of Maglev guide way loading
model,” Journal of Transportation Engineering, vol. 137, no. 3, pp. 201–213, 2010. View at
Publisher · View at Google Scholar View at Scopus
H. Yagh oubi and H. Ziari, “Development of a maglev vehicle guide way system
interaction model .
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