HFSS 12.0 software features domain decomposition
Ansys has announced the release of HFSS 12.0 software for 3D full-wave electromagnetic field simulation.
The product, part of the Ansoft suite, is said to help engineers design, simulate and validate the behaviour of complex high-performance radio frequency (RF), microwave and millimetre-wave devices in next-generation wireless communication and defence systems.
A high-performance computing (HPC) enhancement, domain decomposition, is said to allow engineers to simulate and design on a wide scale at high speed.
Users of the latest version of HFSS software can achieve a reduction in development time and costs while at the same time realising increased reliability and design optimisation, Ansys said.
HFSS 12.0 includes updates in mesh generation, solver technologies, and enhancements to the user interface and the modeller.
A faster and more robust meshing algorithm generates higher-quality, more efficient tetrahedral meshes.
The most significant solver technology enhancement is domain decomposition, a technique that allows HFSS to exploit HPC capabilities to solve electromagnetic field problems.
Other important enhancements include mixed element orders, curvilinear elements, and adjoint derivative computation.
The company said ease-of-use and automation in the user interface have been improved and include additional modeller capabilities such as sheet wrapping and imprinting.
These advances in HFSS 12.0 enable electrical engineers to expand their solution capability, exploit HPC hardware and fully integrate electromagnetics analysis into their simulation-driven product development processes.
The domain decomposition technology in HFSS 12.0 software allows efficient and highly scalable parallelised simulations across multiple computer cores, including networked cores.
In running a 15GB benchmark on an HP 7880 workstation, domain decomposition using eight cores exhibited an 8.8-times speedup with a 33 per cent memory saving compared with a single-core direct solve.
Curvilinear elements and mixed element orders allow for higher accuracy and more efficient distribution of computational resources.
Curvilinear elements model the fields exactly on curved surfaces and in these cases provide higher accuracy even with a coarser mesh discretisation.
Mixed element orders allows for an automated and judicious localised application of element order.
Smaller features are solved more efficiently by lower-order elements while large homogenous regions benefit from higher-order elements, all element orders being automatically and appropriately 'mixed' in one mesh.
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