Altair® romAI™ is a versatile and robust artificial-intelligence (AI) powered technology within Altair® Twin Activate™. An indispensable asset to your model-based development workflows, romAI serves many applications: digital twin creation and deployment; faster optimization and multidisciplinary analysis; model-order reduction; test-data processing for system identification; and better simulation accuracy.
The solution supports popular formats including Functional Mock-up Interface (FMI) standard, C code, and dynamic link library (DLL) for exporting to third-party software or hardware-based applications. When used for handling dynamic problems, romAI generates continuous-time dynamic models and works with any solver at any timestep.Learn More about romAI
Leonardo needed to correct a helicopter radar transmission loss caused by in-flight vibration to the helicopter's radome. Leonardo deployed Altair's digital twin solution to solve the problem. Using a multiphysics approach, the team created a digital twin of the radar antenna's structural and electromagnetic systems. They then correlated deformation to the antenna's design, tracked changes based on vibration, and calculated the antenna's electromagnetic signature. With these findings, Leonardo could optimize its next antenna build version without using expensive prototypes. Altair's solution also closed loops and slashed turnaround times between Leonardo's structural and electronics engineering departments by enabling teams to evaluate the radome and antenna system models in a unified ecosystem. The resulting streamlined workflows produced valuable insights into the antenna radiation patterns, physics drivers, and best trade-offs early in the development cycle, saving Leonardo time and technical resources.
Learn how romAI can predict the thermal behavior of gearboxes during operations by smartly reusing data from nanoFluidXR oil flow simulations. To solve the thermal problem, a dynamic non-linear ROM is generated to estimate the gear-oil heat transfer coeff
Nowadays, machine learning techniques are used in many applications. In the field of reduced-order modeling, they are conveniently used especially when dealing with complex non-linear systems when a standard equation-based approach can’t achieve the needed performance in terms of efficiency and accuracy. To tackle this need, Altair has developed a novel approach: Altair® romAI™.
This application combines AI and system modeling techniques to generate reusable static or dynamic models extremely time-efficient, hence able to speed-up system design and optimization.
Besides introducing the romAI approach, in this session we present 2 applications of romAI applied on Altair® EDEM™ simulations to better understand and appreciate the benefit of this novel approach in the DEM discipline.
Presented as part of the virtual ATCx DEM in November 2022.
Speaker: Livio Mariano, Director Math Systems, Altair
Duration: 15 minutes