Difference between revisions of "What's New in EM.Cube R18.1?"

Revision as of 20:09, 29 April 2018

MODULAR 3D ELECTROMAGNETIC SIMULATION SUITE
      THAT GROWS WITH YOUR MODELING NEEDS

EM.Cube R18.1 Release At A Glance

The new EM.Cube R18.1 release is the most powerful electromagnetic simulation suite EMAG Technologies Inc. has ever produced in its history of more than two decades. The new release offers a combination of productivity features requested by our valued users as well as state-of-the-art simulation capabilities that reflect the latest advances in computational electromagnetics (CEM).

New EM.Tempo Features

• New gyrotropic materials including ferrites and magnetoplasmas
• New expression-based dielectric material properties defined as standard mathematical or Python functions of 3D spatial coordinates (x,y,z)
• New way of defining voxel-based inhomogeneous dielectric materials using a Python function to retrieve data from a 3D Cartesian (voxel) database
• New arbitrarily oriented Hertzian short dipole sources compatible with EM.Cube's other computational modules
• Import of wire current solutions from EM.Libera as a set of Hertzian short dipole sources
• New wire (filamentary) current sources parallel to one of the principal axes with uniform, triangular or sinusoidal profiles
• Generalized lumped voltage sources with an arbitrary orientation on any PEC line object
• New series RL and parallel RC lumped devices
• Active one-port and two-port Netlist-based lumped circuits on PEC lines parallel to one of the principal axes
• Enhanced multi-frequency field sensor, radiation pattern, RCS and Huygens surface observables with data management options
• Computation of electric, magnetic and total energy density, dissipated power density, SAR density and complex Poynting vector on field sensor planes
• New volumetric field sensor observables
• 3D spatial Cartesian data visualization

New EM.Terrano Features

• New digital modulation schemes with 17 waveform types for computation of Eb/N0 and bit error rate (BER)
• Fast broadband frequency sweep of the propagation scene with uniformly spaced or discrete frequency samples using a single ray tracing simulation
• New option for using multi-frequency radiation patterns in frequency sweeps
• New option for visualizing 3D radiation patterns overlaid on the propgation scene
• Complete polarimetric (theta-phi) characterization of the propagation channel for MIMO analysis
• New Polarimatrix solver using a ray database as an "almost real-time" alternative to physical ray tracing
• New transmitter sweep for modeling mobile transmitters
• New rotational sweep for modeling beam scanning
• Improved random city wizard with a larger number of building parameters
• New Mobile Path wizard based on existing nodal curves or imported 3D spatial Cartesian data files
• New mobile sweep simulation of transmitter-receiver pairs
• New distributed transmitters and receivers using Huygens sources

New EM.Ferma Features

• Expanded material list with mechanical and thermal properties
• New steady-state thermal simulation engine (heat conduction and convection) for computation of temperature distribution and heat flux
• Export of SAR density data as a volume heat source from EM.Tempo to EM.Ferma
• New expression-based dielectric/magnetic/insulator material properties defined as standard mathematical or Python functions of 3D spatial coordinates
• New volumetric field sensor observables
• 3D spatial Cartesian data visualization

Integration with NeoScan Field Measurement System

• Automated export of NeoScan field measurement data to EM.Cube
• Automated near-to-far-field transformation of the near-field data for computation of 3D radiation patterns
• Automated computation of antenna gain and radiation efficiency
• PyPlot visualization of measured output signal power in dBm corresponding to individual field component and total field maps

New Visual Interface

• New streamlined visual interface with a tabbed window shared between the Navigation Tree and Python Interpreter
• Persistent user customization of the visual interface - Most of your settings will be remembered the next time you open the application.
• A large collection of problem type templates driven from accessible Python scripts
• Generation of CAD report containing all the objects names and their basic properties

New Data Visualization, Plotting & Processing Utilities

• New Matlab-style 2D and 3D plot types including Cartesian, polar, colorgrid, contour, surface, etc.
• A large collection of Python scripts for custom plotting using PyPlot
• Tighter integration of EM.Cube data and Python
• Conversion of all simulation data to Python NumPy arrays for further post-processing by the user

Enhanced Python Capabilities

• New startup Python script
• New Python commands for project and file management
• New Python commands for getting and setting individual properties of geometric objects
• New Python commands for accessing and identifying material groups and their object members in the navigation tree
• New Python commands to access the nodes of a nodal curve
• New Python function for generating the radiation pattern of a Huygens surface data file
• New Python functions for summing, differencing and scaling of .RAD, .RCS, .SEN, .CAR, .HUY and .COV data files
• New Python command for creating generic spatial Cartesian data in CubeCAD, EM.Tempo and EM.Ferma
• Improved surrogate model generation based on the HDMR technique and association with Python functions of the same name
• Monte Carlo simulation of surrogate models and generation of probability density functions (PDF)

Back to the Top of the Page

Back to EM.Cube Main Page