It is a purpose of computer modeling to reconstruct experimental measurements aiming at the understanding and evaluation of measured parameters, and also to obtain new parameters in different contexts but consistent with the experimental interpretation.

Strong interrelation between modeling and experimental contributes to ensure confidence in the computational tool developed for a given application. In this case, the simulation is useful for supporting studies related to the RAM processing optimization as well as its utilization for specific purposes.Д¬omputational modeling becomes relevant as long as the simulated results reproduce and anticipate experimentally measured data.

Concerning sectors of electronic, telecommunication, aerospace industries, and in particular in the research and development of radar absorbing materials (RAM), the knowledge of e* and m* allows to predict the electromagnetic properties of materials via computer simulation. In this latter case, a good understanding of the dielectric properties of vegetation is vital for the extraction of useful information from the remotely sensed data for earth resources monitoring and management,В because the dielectric constant of vegetation has a direct effect on radar backscattering measured by microwave sensors. Measurement of Оµ*and Ој*В in the microwave frequency range finds direct application, for instance, in the study of biological effects of electromagnetic radiation, in ceramic sintering, plastic welding, communications systems, and remote sensing. Available from: Д®fficient and broadband measurements for complex permittivity, Оµ*, and permeability, Ој*, of materials are of great interest in scientific and industrial applications. Complex Permittivity and Permeability Measurements and Numerical Simulation of carbonyl iron rubber in X-Band frequency. KEYWORDS:Д®lectric permittivity magnetic permeability iron carbonyl rubber computational modeling The measured and calculated results show a good convergence that guarantees the application of the used methodologies for the characterization of carbonyl iron rubber in x-band frequency. The second topic re-examines the Nicolson-Ross-Weir mathematical model to retrieve the constitutive parameters (complex permittivity and permeability) of a homogeneous sample (carbonyl iron) from scattering coefficient measurements.

The first one is concerned with the implementation of a computational modeling to predict the behavior of electromagnetic materials in confined environment by using electromagnetic three-dimensional simulation. The present work branches out into two related topics. Recognizing the importance of an adequate characterization of radar absorbing materials (RAM), and consequently their development, the present study aims to contribute for the establishment and validation of experimental determination and numerical simulation of complex permittivity and permeability of electromagnetic materials, using for this a carbonyl iron was seventy percent of the mass concentration.

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