The Challenge of Numerical EMC

With the increasing use of on-board electronic equipment, mastering EMC compliance in the early design stage is becoming a critical technical issue. Numerical EMC is appearing as a promising way to make it faster and cost-effective. This is one major challenge for Computational Electromagnetics.

Overview

PAM-CEM Solutions is a software package aimed at performing realistic and predictive ElectroMagnetic Compatibility (EMC) simulations in the transportation industry, automotive and railways, in Aeronautics and Defense, in Telecommunications and in Electronics. Developed by a team of specialists who have focused their research efforts on electromagnetic simulation for the last 25 years, PAM-CEM Solutions are specifically designed to simulate EMC testing. The PAM-CEM scope is ranging from ElectroMagnetic Interference (EMI) to ElectroMagnetic Susceptibility (EMS) of electronic systems or products. Electromagnetic pollution of large harness systems is also relying in the PAM-CEM application field. The objective is to exploit PAM-CEM simulations within the early stages of design development, in order to predict possible functioning problems, and take immediate actions, before even reaching the test phase.

PAM-CEM Features

With the aim of addressing fully realistic models in their early design stage, PAM-CEM Solutions are proposing

• A dedicated environment
  enabling the specification of all EMC relevant features in one shared model starting from native CAD data or from existing meshes,
  

• Specialized capabilities
  for wires, bundles and cabling, from a simplified harness to a fully industrial Cable Network featuring more than a thousand wires,
  

• Dedicated functionalities for the simulation of realistic models featuring lossy dielectric grounds, wired exciting antennas, absorbing materials, etc.

• An advanced 3D explicit software product, PAM-CEM/FD, operating directly in time domain and allowing the fast investigation of electromagnetic phenomena, developed from the widely used Finite-Difference Time-Domain method