Modeling of Radar Absorbing Materials Using Winning Particle Optimization Applied on Electrically Conductive Nanostructured Composite Material

Abstract- Modelling and manufacturing of radar absorbing material are proposed using multilayer composite nanostructured materials and the recently introduced winning particle optimization algorithm. The study concerns tile of materials with dimensions of 0.3m×0.3m made of nanostructured composite materials, which consist on epoxy-resin and industrial grade carbon nanotube (CNTs) fillers. The industrial grade CNTs were appositely chosen for their low costs, in order to be applied in great amount to build large tile of composite materials. Here modelling takes into account for an extended frequency band (5 to 18 GHz), for several incidence angles of the electromagnetic field (0 to 80°), and for the minimization of the electromagnetic reflection coefficient. At last simulations are compared with measurements of reflection coefficient. Despite some errors mostly due to the manufacturing process, simulations are in good agreement with measurements, showing an interesting approach to design multilayer radar absorbing materials