Digital twins help organizations optimize product performance, gain visibility into the in-service life of a product, know when and where to perform predictive maintenance, and how to extend a product’s remaining useful life (RUL). The Altair digital twin integration platform blends physics- and data-driven twins to support optimization throughout the products lifecycle. We take a complete, open, and flexible approach that enables your digital transformation vision on your terms.
The physics based, simulation-driven digital twin leverages standardized, tool independent interfaces like the Functional Mock-up Interface (FMI), co-simulation methods with geometry-based 3D CAE tools, and reduced order modelling approaches to derive low fidelity models from detailed simulations.
The data-driven twin uses machine learning algorithms and data science to optimize product performance. Looking at the problem through this lens allows you to get fast, real-time insights about the status of the product then make the appropriate operational adjustments to improve the life of the product and avoid failures.
At the core of our digital twin integration platform is foundational software for executing twins in production and connecting them to real-world data in real-time. This platform provides building blocks for digital twin developers to get started fast, scale up efficiently, and continue to improve over time.
Industry Innovator Luca Gatti Luca invites you to a virtual coffee break, to see why it is necessary to model and deeply study the physics behind a cup of...