Research

Engineering Sciences

Title :

DNN-Derived Innovative Flexible Frequency Selective Surfaces for Stealth and 5G Electromagnetic Shielding Applications

Area of research :

Engineering Sciences

Principal Investigator :

Dr. Ravi Panwar, Indian Institute Of Technology (IITBHU), Uttar Pradesh

Timeline Start Year :

2023

Timeline End Year :

2026

Contact info :

Equipments :

Details

Executive Summary :

Frequency Selective Surfaces (FSSs) are an exciting new development in the world of communications. However, developing lightweight and flexible customized FSSs for microwave absorbing and shielding applications remains a very difficult task. This project initiates advanced application-oriented research based on cost-effective frequency selective surface (FSS) based stealth and 5G electromagnetic interference (EMI) shielding structures that have a great potential to be commercialized. The of this study is to discover a new kind of flexible, lightweight, and broadband conformal FSSs for stealth and EMI mitigation applications realized using a novel deep neural network (DNN)-enabled EM approach. This project will include developing analytical models, running electromagnetic simulations of unit cells and full structures, fabricating structures, carrying out rigorous measurements in our anechoic chambers, and writing high-quality journal articles and patents. In the first phase of this project, DNN-based EM algorithms will be developed for the innovative design of conformal FSS impacted stealth and 5G shielding structures, and the same will be validated using full-wave simulation tools before the fabrication. In the next phase, flexible porotypes will be developed and successfully tested. The findings will be a ground-breaking development in the aviation and communication industries. It is envisaged that the various National Laboratories, Industries, and Institutes may be interested in the outcome of the proposed research.

Total Budget (INR):

32,56,264

Organizations involved