Artificial Intelligence: A tool to resolve thermal behavior issues in disc braking systems
Document Type
Syllabus
Publication Date
1-1-2022
Abstract
The application of artificial intelligence (AI) in the automobile sector is growing at a rapid pace. Presently, AI is being used in automated driving vehicles, but it should not be limited to such. This technology should also be used to resolve the complex problems related to the safety systems of vehicles. There are numerus problems associated with driver and passenger safety in current vehicles. Implementation of AI for developing consistent safety and reliability in any system requires huge quantities of research data. In this era of Industry 4.0, AI is being used to make vehicle operation more reliable and effective. The automobile sector has tremendous expectations of AI, as the industry is still dependent on driver behavior. In addition, most of the components related to safety provisions are operated via mechanical linkages. Data on vehicular accidents highlight the issue of safety. Brakes are currently the only safety provision to stop a moving vehicle. However, there are numerous problems with current braking systems, including brake fade, judder, brake wear, thermal-related phenomenal problems, and leakages. In this chapter, we propose a tool to resolve thermal behavior issues in disc braking systems of passenger vehicles. We carried out experiments on braking systems as well as performed computer simulations using the Ansys engineering simulation software. We compared experimental and software simulation results and found the results to be nearly similar with minor correction. Therefore, data generated via simulation software can be used to develop AI algorithms for solving thermal brake fade problems. Correlation of experimental data with simulation software and further development of AI models based on data generation can be a modern tool for Industry 4.0 application. The demonstration of this fail-safe system is crucial to the acceptance of increasing levels of automation in modern fully autonomous cars of the next decade.
Identifier
85148843497 (Scopus)
ISBN
[9780323906395, 9780323884686]
Publication Title
Artificial Intelligence and Industry 4 0
External Full Text Location
https://doi.org/10.1016/B978-0-323-88468-6.00005-X
First Page
117
Last Page
141
Volume
1-2
Recommended Citation
Nemade, Anant; Telang, Samir; Jumbad, Vitthal; Chel, Arvind; Kaushik, Geetanjali; and Hussain, Mustansar, "Artificial Intelligence: A tool to resolve thermal behavior issues in disc braking systems" (2022). Faculty Publications. 3420.
https://digitalcommons.njit.edu/fac_pubs/3420