Design and Fabrication of Magnetic Braking System Using Artificial Intelligence

Authors

  • Anant Jhunjhunwala Department of Mechanical Engineering, Maharaja Agrasen Institute of Technology, Delhi, India
  • Satish Kumar Assistant Professor Department of Mechanical Engineer, Maharaja Agrasen Institute of Technology, Delhi, India
  • Arun Kumar Gupta Professor Department of Mechanical Engineering, M.M.E.C., Maharishi Markandeshwar Deemed to be University Mullana Ambala133207 Haryana INDIA
  • Shashank Sharma Department of Mechanical Engineering, Maharaja Agrasen Institute of Technology, Delhi, India

DOI:

https://doi.org/10.69996/13m62n97

Keywords:

Ultrasonic waves, Ultrasonic sensor, Arduino, Microcontroller, Pulse Width Modulator

Abstract

The population of the world is growing every day. This is contributing to an increase in automobile use day by day. The rate of traffic accidents is likewise increasing. Numerous factors, such as brake failure, driving while intoxicated, applying the brakes late etc., which result in thousands of people dying every year. To reduce these dangers, an ultrasonic braking system has been developed. The ultrasonic transducer, ultrasonic receiver, Arduino UNOR3 band with microcontroller, DC motor, Relay, Transformer, Bridge Rectifier, Hydraulic Pump, Neodymium Magnets, Pulse Width Modulator, Reed Switch, Actuating Cylinder, Solenoid Valve and magnetic braking mechanism has been considered to make up the automatic braking system. In this technology, the front area of the car has an ultrasonic wave emitter that generates ultrasonic waves. Additionally, a receiver for ultrasonic waves that are reflected off the front of the car is positioned there. The microcontroller uses the detected pulse and send the signal to the solenoid valve which then actuate the magnetic brake using the hydraulic cylinder for safety purpose. This mechatronic system has been found well to reduce an accident. By this system, more accidents can be avoided, and more lives can be saved.

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Published

2025-04-10

Issue

Section

Early Access Articles

How to Cite

Anant Jhunjhunwala, Satish Kumar, Arun Kumar Gupta, & Shashank Sharma. (2025). Design and Fabrication of Magnetic Braking System Using Artificial Intelligence. Journal of Computer Allied Intelligence(JCAI, ISSN: 2584-2676), 3(1). https://doi.org/10.69996/13m62n97