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Digital Twin

Transform Your Operations with AI-Driven and Simulation-
Based Digital Twin Software

Digital Twin Business Value

Engineering simulation software has traditionally been used for new product design, but with the advent of advanced embedded sensors, engineers can now use this data to create digital twins. Digital twins can be used in real-time systems analysis to schedule predictive maintenance and implement performance optimizations. With the Hybrid Analytics capability of Ansys, engineers can reach an unparalleled level of accuracy using predictive analytics by combining machine learning (ML)-based analytics with a physics-based approach.

Free Trial Digital Twin

Build, Validate, Deploy and Scale

AI-Driven Digital Twins With Ansys Digital Twin

Build and Validate, Deploy and Scale Hybrid Digital Twin with Ansys Twin Builder

Ansys Digital Twin

Get Predictive Insights to Reduce Downtime and Boost Efficiency

Ansys Digital Twin allows you to implement complete virtual prototypes of real-world systems. These twins can manage the entire lifecycle of products and assets. This digital twin simulation paradigm allows you to increase efficiencies exponentially over time, scheduling maintenance around predictive methodologies that become more accurate with real-world testing and response. Access to this information enables engineers to unlock additional value from existing assets, which prevents unscheduled downtime and lowers operating costs while working at optimal efficiency, all with agnostic Internet of Things (IoT) platforms.

Digital Twin Products

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July 2024

What's New

Ansys introduces Ansys TwinAI, a new addition to Ansys Digital Twin’s product portfolio that seamlessly integrates the accuracy of physics models with insights from real-world data powered by cutting-edge AI techniques. Ansys TwinAI now supports Reduced Order Models (ROMs) and integrates Ansys Design Language with new UI/UX improvements. Moreover, hybrid analytics are improved, handling state-less FMUs and ROM initialization.

Unleash the Potential of Digital Twin with Hybrid Analytics

  • Integration of Ansys Design Language (ADL) in Twin Deployer
  • Hybrid Analytics improvements
  • Improved handling for stateless FMUs

Automation, Speed and Accuracy for Reduced Order Models (ROM) creation

  • ROMs in Twin Deployer
  • Enhanced initialization of Dynamic ROM
  • Improved Mechanical Modal ROM App

Enhanced Solver, Model Library and User Experience

  • Extended Support for PSPICE parameters
  • Motor-CAD Thermal ROM component
  • Support for Modelica Standard Library (MSL) 4.0

 

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Webinars

Ansys

Ansys 2024 R2: Ansys Digital Twin What’s New

In this webinar, you will discover the new features of Ansys Digital Twin in our latest release, Ansys 2024 R2, which continues to provide our customers with more digital twin prediction accuracy thanks to Ansys TwinAI.

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Ansys for Hybrid Digital Twins

Combining physics and data modeling to enable real-time monitoring, predictive maintenance, and performance optimization. 

Electrified powertrain system integration

Electrified Powertrain System Integration

Integrate highly complex, electric vehicle and hybrid-electric vehicle powertrains and their subsystems and components with Ansys simulation software.

Digital twins automation

Featured Webinars

REGISTER TODAY
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Ansys TwinAI: Combining Physics Accuracy with Data- Driven Insights

Learn how Ansys TwinAI integrate the accuracy of physics models with insights from real-world data powered by AI techniques.

On Demand Webinar
Ansys Digital Twin and Tata Steel
How Digital Twin is a Game Changer for Tata Steel Nederland to Achieve Their Targets

Hear from Tata Steel Nederland experts, who will uncover how they are digitalizing the thermal process management for their iron & steelmaking plants. Using simulation-based digital twins and AI/ML techniques, they can now pursue their initiatives in energy consumption optimization. 

ON DEMAND WEBINAR
PyTwin
Ansys Digital Twin and ROMs with PyTwin

Learn about the latest updates of the PyAnsys package PyTwin, which gives easy access to the power of Ansys Digital Twin Runtimes through Python. The webinar will detail PyTwin and the APIs for users to implement their Python applications.

ON DEMAND WEBINAR
Mechanical Modal ROM
Boost Simulation with Reduced Order Models using Ansys Twin Builder

Discover the core concepts behind ROMs, their benefits, and their applications across various industries. Learn how to create, validate, and deploy ROMs within Ansys Twin Builder.

On Demand Webinar
EV batteries
Streamlining EVs from Design to Operations with Ansys Hybrid Digital Twins

Learn about the different use cases of twin integration with IIoT. Participants will gain insights on AI, COVESA EV powertrain optimization, and more. Ansys experts will also showcase the live demo of this solution.

On Demand Webinar
PyAnsys
Creating and Exploiting a Bioreactor Digital Twin

What if you could almost instantaneously predict the likely evolution of a bioreactor exposed to adverse internal or external events so that you can take corrective measures?

This customized digital twin solution is available and used by large biopharmaceutical companies.


Customer Success

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Ansys + UKAEA

UKAEA, with the help of Ansys Twin Builder, worked toward creating a fusion component digital twin used for the virtual testing and monitoring all the components of a fusion reactor test rig called “CHIMERA.”

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Ansys + GSK

GSK team used Ansys Twin Builder’ ROMs to overcome the inconsistencies observed in the performance of their processes and cell lines between different bioreactor scales.

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Ansys + HSD Mechatronics

The HSD engineering team relies on Ansys simulation software and Ansys Twin Builder to engineer their existing electrospindle designs for maximum performance, power density, durability, and consistency over time.

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Ansys + KTM MotorCross

The inclusion of a virtual battery pack helped KTM team identify and eliminate potential problems in battery design, including design issues early in the development process.


Videos

See What Ansys Can Do For You

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