October 18, 2019
Reduced order models (ROMs) are simplifications of high-fidelity, complex models. They capture the behavior of these source models so that engineers can quickly study a system’s dominant effects using minimal computational resources.
ROMs have become popular in the product development industry because engineers are facing market demands for shorter design cycles that produce higher quality products.
ROMs can be used to simplify various models from full 3D simulations, systems simulations or embedded software. As a result, engineers can use them to:
ROMs can be used to model various static, transient, linear and nonlinear systems. Specifically, response surface models (RSM) are a great tool to capture the behavior of static linear systems.
To create an RSM, engineers need to map the output parameters of a model based on the inputs to that model.
To do this, engineers can create a design of experiments (DOE) using Ansys DesignXplorer. The DOE determines a series of design points that need to be tested in Ansys Fluent.
To create the RSM and ROM, the software uses advanced algorithms to predict the response between the simulation runs. The ROM can then be exported, in industry standard formats, to other platforms.
To learn how to create ROMs in detail, watch the webinar: Reduced Order Models (ROMs) for Simulation Democratization and Digital Twins.
Engineers can use ROMs to reduce the time it takes to optimize and study a complex system. For instance, Fluent can use ROMs to explore design alternatives in the blink of an eye.
In fact, a full 3D computational fluid dynamic (CFD) study could take hours to simulate. However, by capturing the fidelity of the 3D model using a ROM, Fluent can assess a design in seconds.
As a result, engineers can use ROMs to reduce development cycles, shrink research budgets, get to market faster and limit computational resources.
To learn how reduced order modelling complements 3D physics simulations, watch the webinar: Reduced Order Modeling - Complementing 3D CAE.
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