Design and Analysis of An Smart Aircraft Fuel System
Design and Analysis of An Smart Aircraft Fuel System
Dhruv Sharma1, Avinish Gupta2, Dayananda Debnath3 , Krishnapal Maurya4, Arnav Gupta5, ,Anshu Dhama6, Ayush Tripathi7,
Prince pushp8,Abhishek Tandon9,Rajendera K. Mane10
SCHOOL FOR AIRCRAFT MAINTENANCE ENGINEERING, INDIA
DEPARTMENT OF MECHANICAL B1.1 ACADEMIC YEAR 2024-26
1Email: abhishek.tandon@igesame.com
2Email: Rajendra.mane@igesame.com
3Email: dhruvattri780@gmail.com
4Email: dayanandadebnath00@gmail.com
5Email: mr.krishnamaurya9742@gmail.com
6Email: arnavgupta2006rishi@gmail.com
7Email: guptarishu170@gmail.com
8Email: anshugurjar1708@gmail.com
9Email: ayush8531tripathi@gmail.com
10Email: princepushp1710@gmail.com
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ABSTRACT
Traditional models of aircraft fuel systems are primarily designed to demonstrate fuel storage and transfer. They have limited capability to monitor and control the operations in real time. The project proposes a Smart Fuel Management and Monitoring System that combines the traditional fuel system components with Internet of Things (IoT) technology to provide an interactive and intelligent platform. The developed model consists of ESP32 microcontroller, ultrasonic sensor, flow sensor, relay module and limit switch for continuous monitoring of fuel quantity, fuel flow rate and filter condition. Data is transmitted wirelessly to a smartphone application for real-time visualization of system parameters. The system can also monitor and operate the fuel pump and solenoid valve remotely through a mobile device, thus converting the model from a passive demonstration system to an actively controlled system. A filter clog detection feature is also added to provide maintenance alerts and ensure system reliability. The project shows how digital technologies, wireless communication and automation can be combined with fuel management systems to improve operational awareness and control. The model developed can be a practical representation of future support systems of smart aircrafts where monitoring, diagnostics and control can be done remotely and efficiently.