F7 / ELECTRODYNAMICS & MAGNETICS
We may not realize it, but we are constantly surrounded by electromechanical machines. These devices are common in consumer products, communication devices, transportation equipment, and even our recreation. Electromagnetic simulations help engineers understand the complexities of the electrodynamic and magnetic phenomenon that drive their performance and deliver more reliable and higher efficiency products to market.
EM simulation is now regarded as an integral step in the design of modern electronic equipment, central to corporate strategies of bringing innovative products to market.
The highest value of electromagnetic simulations is not in making existing products slightly better, but in exploring what is possible and advancing fundamental knowledge of how systems behave in real-world scenarios. Today’s EM simulations can now account for the full spectrum of real-world phenomena including flow, heat transfer, electrochemistry, solid mechanics and motion.
Using such coupled multiphysics simulations designers are able to focus less on simple signal integrity and more on system level product integrity, identifying and correcting potential problems in your products before they reach the market.
Bringing new products, steeped in multiphysics complexity, to market quickly is challenging. Product failures have been viewed as an inevitability. Modern multiphysics simulation capabilities are changing that view. When company reputation is on the line and product failures will not be tolerated, it’s time to turn to simulation.
EM and multiphysics simulations are a game changer in many industries including the high-tech, aerospace, automotive and life-science industries.
Computational electromagnetics entails the prediction of the low-frequency electromagnetic fields for complex, 3D configurations of conductors, magnets, dielectrics and currents governed by Maxwell’s equations, electric charge conservation and constitutive relations.
Example applications include batteries, fuel cells, electric motors, electric switches, and transformers among many others.
Electrostatic simulations model electric charges in dielectric or poorly-conducting materials. Electrostatic applications assume that the distribution of electric charges does not vary with time.
When heat is generated by electric currents flowing in resistive materials an Ohmic heating model is used in combination with a solid energy model.
In electromagnetic applications involving electrically conducting fluids, such as molten metals, electrolytes, and plasmas, EM simulation techniques can account for the interaction between the conducting fluid and the magnetic field. A one-way coupled MHD model accounts for the interaction between an electrically conducting fluid and a prescribed magnetic field while a two-way coupled MHD model also calculates the magnetic field within the fluid region from the magnetic vector potential.
Coil and circuit models are also available to simplify simulations.
