Ansys Hall of Fame Winners

ASTEC, INC. engineers identified an opportunity to optimize an asphalt drying process in which the phase change of liquid to gas can consume half the energy input. By developing software to capture the mass transfer between aggregate particles and using Ansys to solve exchanges between the fluid phase, the team designed a more efficient dryer that lowers running costs and reduces emissions.

DRUIDS PROCESS TECHNOLOGY S.L. developed an electromagnetic detector to sense internal cavities that can block production in high-temperature copper. Engineers used Ansys solutions to check the coil configuration and induce currents, monitor the detector’s behavior at extreme heat, and determine whether thermal and pressure effects could damage the coil shield.

NUM solution created its own flutter tool for automatic blade flutter prediction with Ansys simulations, leading to a 60% reduction in simulation time and a 95% reduction in pre- and post-processing time. The solution is being used to accelerate the development of a flutter-free blade, which will reduce blade loss and damage in large-scale turbomachinery.

King Abdullah University of Science and Technology used Ansys to detect unexploded landmines — a massive problem in some countries — that cannot be detected with conventional radar. Researchers obtained the radar cross section of a 330-milliliter plastic bottle filled with dielectric materials to mimic explosives and applied machine learning techniques for better landmine detection.

Politecnico di Milano simulated an artificial ventricle to develop a computational model that accurately reproduces the hemodynamics inside the left chamber of an artificial heart. The results from fluid–structure interaction simulations led to realistic kinematics of the valve leaflets and membrane.

University of Rome Tor Vergata engineers used Ansys solutions to perform cardiovascular simulation with moving walls and applied it to the fluid–structure interaction analysis of a custom valve coupled with patient data. They developed a high-fidelity, fast and accurate way to bring simulation into the clinic.