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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM34121

MAGNO TUNE: ADVANCED ROAD SURFACE RECOGNITION & EMS OPTIMIZATION

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM34121

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM34121

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SV

Sumanth V

VS

Varsha S

NCR

Nikhil C R

Aj

Arjun joshi

DN

Dr.Shamala N

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Abstract

Electromagnetic suspension systems represent a revolutionary technology in the automotive industry, offering unparalleled comfort, control, and safety in vehicle dynamics. This project delves into the design, implementation, and performance evaluation of electromagnetic suspension systems used in vehicles and road surface detection. This paper is an overview of traditional suspension systems and their limitations in providing a smooth ride quality while maintaining optimal handling characteristics. It then introduces electromagnetic suspension systems as an innovative solution to these challenges. Key components and principles of electromagnetic suspension systems are discussed, including electromagnetic actuators and sensors for road surface detection. The integration of these components into the vehicle chassis is explained, highlighting the synergy between mechanical and electrical engineering disciplines. Furthermore, the project explores the benefits of electromagnetic suspension systems, such as enhanced ride comfort, improved stability, and adaptive damping capabilities. Overall, this project provides valuable insights into the advancements and applications of electromagnetic suspension systems, paving the way for the future of vehicle ride and handling dynamics.

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Cite This Article

Sumanth V, Varsha S, Nikhil C R, Arjun joshi, Dr.Shamala N, "MAGNO TUNE: ADVANCED ROAD SURFACE RECOGNITION & EMS OPTIMIZATION," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/IJSREM34121

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Publication Date

12/31/45427

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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