Sunday, November 26, 2023

💥💥💥 What are capabilities of Twin Builder in Ansys ?

 Twin Builder in Ansys is a software that allows you to create and deploy simulation-based digital twin models. A digital twin is a connected, virtual replica of an in-service physical asset that mirrors its real-world behavior and performance. With Twin Builder, you can:

- Build, validate, deploy and scale digital twins using Ansys systems-level simulation know-how¹

- Integrate real-world data from sensors and other sources into your digital twin models¹

- Increase efficiency, optimize performance, and reduce maintenance costs with digital twins¹

- Use hybrid analytics to combine machine learning and physics-based approaches for more accurate predictive analytics¹

- Leverage Ansys solvers and reduced-order model (ROM) technology to speed up simulation time and improve accuracy³

- Deploy your digital twins on various Internet of Things (IoT) platforms with Twin Deployer³

- Access a web-based standalone ROM viewer and a new fuel cell and thermal power library³

Source: 

(1) Digital Twin Simulation-Based Software | Ansys. https://www.ansys.com/products/digital-twin.

(2) Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder.

(3) Digital Twin Simulation-Based Software | Ansys. https://www.ansys.com/products/digital-twin.

(4) Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder.

(5) Ansys Twin Builder Software | Simulation-Based Digital Twin Models. https://wildeanalysis.co.uk/software/design-simulation/ansys/platform/twin-builder/.

(6) https://www.ansys.com/blog/three-key-enhancements-in-the-new-release-of-ansys-twin-builder.

(7) . https://bing.com/search?q=Twin+Builder+in+Ansys+capabilities.

Can you give me an example of a digital twin model created using Twin Builder?

Sure, I can give you an example of a digital twin model created using Twin Builder. One example is a digital twin of the Golden Gate Bridge, which was created by Ozen Engineering using Ansys Twin Builder³. The digital twin model simulates the structural response of the bridge under various wind and traffic conditions, and uses real-time data from sensors installed on the bridge to update the model parameters and validate the simulation results³. The digital twin model can help monitor the bridge's health and performance, and optimize its maintenance and operation³.

Another example is a digital twin of a battery system, which was created by Ansys using Twin Builder and other Ansys tools⁴. The digital twin model combines electrical, thermal, and fluid dynamics simulations to capture the multiphysics behavior of the battery system under different operating conditions⁴. The digital twin model also uses reduced order models (ROMs) to speed up the simulation time and improve the accuracy⁴. The digital twin model can help design and optimize the battery system, and predict its performance and degradation⁴.

Source:

(1) How to Create a Digital Twin of the Golden Gate Bridge - Ansys. https://www.ansys.com/blog/how-to-create-a-digital-twin.

(2) How to Build a Digital Twin from a Systems Simulation | Ansys. https://www.ansys.com/blog/how-to-build-a-digital-twin-from-a-systems-simulation.

(3) Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder.

(4) How to Create a Digital Twin of the Golden Gate Bridge - Ansys. https://www.ansys.com/blog/how-to-create-a-digital-twin.

(5) How to Build a Digital Twin from a Systems Simulation | Ansys. https://www.ansys.com/blog/how-to-build-a-digital-twin-from-a-systems-simulation.

(6) https://cla.opensource.microsoft.com.

(7) Azure Digital Twins end-to-end samples - Code Samples. https://learn.microsoft.com/en-us/samples/azure-samples/digital-twins-samples/digital-twins-samples/.

How does Twin Builder integrate real-world data into digital twin models?

Twin Builder integrates real-world data into digital twin models by using the following steps:

- First, Twin Builder allows you to connect your digital twin model to various Internet of Things (IoT) platforms, such as Microsoft Azure IoT, Microsoft Azure Digital Twins, PTC ThingWorx, SAP Predictive Asset Insights, Rockwell Automation Emulate 3D and Rockwell Studio 5000¹. These platforms can access test and real-time data from sensors and other sources installed on the physical asset that the digital twin represents¹².

- Second, Twin Builder uses the data from the IoT platforms as inputs to the digital twin model, which can be a system-level simulation composed of different components, such as electrical, thermal, fluid, mechanical, and software¹². Some of these components can also be reduced-order models (ROMs), which are simplified versions of complex 3D simulations that run faster and more accurately¹².

- Third, Twin Builder runs the digital twin model as a simulation, using the data inputs to update the model parameters and validate the simulation results¹². The digital twin model can also be instrumented with virtual sensors, which are measurements taken from the simulation outputs that augment and enrich the data from the physical sensors¹².

- Fourth, Twin Builder exports the digital twin model as a standalone software code, which can be deployed on the IoT platforms or at the edge of the physical asset, where it can work against the data in real time¹². The digital twin model can then provide insights into the current and future performance, behavior, and health of the physical asset, and enable optimization, prediction, and control¹².

Source: 

(1) Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder.

(2) ANSYS Twin Builder: Connecting IoT Data to Simulations. https://www.lifecycleinsights.com/ansys-twin-builder/.

(3) Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder.

(4) ANSYS Twin Builder: Connecting IoT Data to Simulations. https://www.lifecycleinsights.com/ansys-twin-builder/.

(5) Toward Smart-Building Digital Twins: BIM and IoT Data Integration .... https://ieeexplore.ieee.org/document/9987476.

(6) Ansys Twin Builder Integration with Azure Digital Twins. https://learn.microsoft.com/en-us/shows/internet-of-things-show/ansys-twin-builder-integration-with-azure-digital-twins.

(7) https://aka.ms/iotshow/AnsysTwinBuilder%29.

How can I use Twin Builder to optimize the performance of my machine learning model?

One possible way to use Twin Builder to optimize the performance of your machine learning model is to create a hybrid digital twin that combines data analytics and simulation-based approaches. A hybrid digital twin is a connected, virtual replica of a physical system that uses both machine learning and physics-based models to capture its behavior and performance¹. With Twin Builder, you can:

- Build a system-level simulation of your physical system using various components, such as electrical, thermal, fluid, mechanical, and software¹². You can also use reduced-order models (ROMs) to simplify complex 3D simulations and speed up the simulation time¹².

- Connect your simulation model to an IoT platform, such as Microsoft Azure IoT, Microsoft Azure Digital Twins, PTC ThingWorx, SAP Predictive Asset Insights, Rockwell Automation Emulate 3D and Rockwell Studio 5000¹². These platforms can access test and real-time data from sensors and other sources installed on the physical system¹².

- Use the data from the IoT platform as inputs to your machine learning model, which can be a neural network, a regression model, a classification model, or any other type of data-driven model¹². You can use various tools and frameworks, such as TensorFlow, PyTorch, Scikit-learn, or Ansys SCADE, to create and train your machine learning model¹².

- Integrate your machine learning model with your simulation model using Twin Builder's hybrid analytics capabilities¹². You can use the machine learning model to calibrate, update, or augment the simulation model, or vice versa¹². You can also use the machine learning model to perform predictive analytics, such as forecasting, anomaly detection, or optimization¹².

- Deploy your hybrid digital twin model on the IoT platform or at the edge of the physical system, where it can work against the data in real time¹². You can then use your hybrid digital twin model to monitor, control, and optimize the performance of your physical system¹².

Source:

(1) Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder.

(2) Review of Computational Mechanics, Optimization, and Machine Learning .... https://www.mdpi.com/2076-3417/12/23/11997.

(3) Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder.

(4) Review of Computational Mechanics, Optimization, and Machine Learning .... https://www.mdpi.com/2076-3417/12/23/11997.

(5) How AI and ML are Changing Simulation - Ansys. https://www.ansys.com/blog/how-ai-and-ml-are-changing-simulation.

(6) Ansys Twin Builder Getting Started | Ansys Training. https://www.ansys.com/training-center/course-catalog/digital-twin/ansys-twin-builder-getting-started.

(7) Twin Builder - Ansys Learning Forum. https://forum.ansys.com/forums/topic/twin-builder/.

(8) https://doi.org/10.3390/app122311997.

Does OptiSLang have the same capabilities as Twin Builder in Ansys?

No, OptiSLang and Twin Builder in Ansys have different capabilities and purposes. OptiSLang is a process integration and design optimization solution that automates key aspects of the robust design optimization process¹. OptiSLang connects multiple CAx tools and different physics into a holistic, multi-disciplinary approach to optimization¹. OptiSLang uses state-of-the-art algorithms for design exploration, optimization, robustness and reliability analysis¹. OptiSLang can help you make better decisions with less effort using design optimization software¹.

Twin Builder, on the other hand, is a digital twin solution that allows you to create and deploy simulation-based digital twin models². A digital twin is a connected, virtual replica of an in-service physical asset that mirrors its real-world behavior and performance². Twin Builder enables you to build, validate, deploy and scale digital twins using Ansys systems-level simulation know-how². Twin Builder can help you increase efficiency, optimize performance, and reduce maintenance costs with digital twins².

OptiSLang and Twin Builder can work together to enhance your product lifecycle management and predictive maintenance. For example, you can use OptiSLang to calibrate and update your digital twin model created with Twin Builder using real-world data from sensors and other sources¹². You can also use OptiSLang to perform sensitivity analysis and optimization on your digital twin model to improve its accuracy and performance¹². 

Source: 

(1) Ansys optiSLang | Process Integration & Design Optimization Software. https://www.ansys.com/products/connect/ansys-optislang.

(2) Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder.

(3) Ansys optiSLang | Process Integration & Design Optimization Software. https://www.ansys.com/products/connect/ansys-optislang.

(4) Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder.

(5) Compare Ansys optiSLang vs. GE Digital Twin vs. SOLIDWORKS Simulation .... https://slashdot.org/software/comparison/Ansys-optiSLang-vs-GE-Digital-Twin-vs-SOLIDWORKS-Simulation/.

(6) Ansys optiSLang vs. GE Digital Twin vs. Maxwell Render. https://sourceforge.net/software/compare/Ansys-optiSLang-vs-GE-Digital-Twin-vs-Maxwell-Render/.

(7) Top 3 New Features in Ansys optiSLang. https://www.ansys.com/blog/top-3-new-features-in-ansys-optislang.

(8) en.wikipedia.org. https://en.wikipedia.org/wiki/OptiSLang.

Can I build a Digital Twin using only OptiSLang?

No, you cannot build a digital twin using only OptiSLang. OptiSLang is a process integration and design optimization (PIDO) solution that automates key aspects of the robust design optimization (RDO) process¹. OptiSLang can help you calibrate, update, and optimize your digital twin model using real-world data from sensors and other sources¹². However, OptiSLang cannot create and deploy simulation-based digital twin models by itself. You need another software, such as Ansys Twin Builder, to do that¹².

Ansys Twin Builder is a digital twin solution that allows you to create and deploy simulation-based digital twin models³. A digital twin is a connected, virtual replica of an in-service physical asset that mirrors its real-world behavior and performance³. Twin Builder enables you to build, validate, deploy and scale digital twins using Ansys systems-level simulation know-how³. Twin Builder can help you increase efficiency, optimize performance, and reduce maintenance costs with digital twins³

Source: 

(1) 3D Field Meta Models for Digital Twins with Ansys optiSLang. https://www.ansys.com/resource-center/webinar/3d-field-meta-models-for-digital-twins.

(2) How to Design Better Products in Less Time with Ansys optiSLang and the .... https://www.ansys.com/blog/how-to-design-better-products.

(3) A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning .... https://arxiv.org/pdf/2208.14197.pdf.

(4) 3D Field Meta Models for Digital Twins with Ansys optiSLang. https://www.ansys.com/resource-center/webinar/3d-field-meta-models-for-digital-twins.

(5) A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning .... https://arxiv.org/pdf/2208.14197.pdf.

(6) How to Design Better Products in Less Time with Ansys optiSLang and the .... https://www.ansys.com/blog/how-to-design-better-products.

(7) Optimizing Design Optimization Efforts - Ansys. https://www.ansys.com/blog/optimizing-design-optimization-efforts.

Is there a machine learning feature in Twin Builder?

Yes, there is a machine learning feature in Twin Builder. Twin Builder allows you to integrate your simulation-based digital twin model with artificial intelligence and machine learning (AI/ML) models to create a hybrid digital twin¹². A hybrid digital twin combines the power of physics and data modeling to enable real-time monitoring, predictive maintenance, and performance optimization¹².

With Twin Builder, you can:

- Use various tools and frameworks, such as TensorFlow, PyTorch, Scikit-learn, or Ansys SCADE, to create and train your AI/ML model¹².

- Connect your simulation model to an Internet of Things (IoT) platform, such as Microsoft Azure IoT, Microsoft Azure Digital Twins, PTC ThingWorx, SAP Predictive Asset Insights, Rockwell Automation Emulate 3D and Rockwell Studio 5000¹². These platforms can access test and real-time data from sensors and other sources installed on the physical system¹².

- Use the data from the IoT platform as inputs to your AI/ML model, which can be a neural network, a regression model, a classification model, or any other type of data-driven model¹².

- Integrate your AI/ML model with your simulation model using Twin Builder's hybrid analytics capabilities¹². You can use the AI/ML model to calibrate, update, or augment the simulation model, or vice versa¹². You can also use the AI/ML model to perform predictive analytics, such as forecasting, anomaly detection, or optimization¹².

- Deploy your hybrid digital twin model on the IoT platform or at the edge of the physical system, where it can work against the data in real time¹². You can then use your hybrid digital twin model to monitor, control, and optimize the performance of your physical system¹².

I hope this answer helps you understand the machine learning feature in Twin Builder. If you want to learn more about Twin Builder and its capabilities, you can check out the following resources:

- [Ansys Twin Builder | Create and Deploy Digital Twin Models](^1^)

- [Get the Best Digital Twin with Hybrid Analytics - Ansys](^2^)

- [Ansys Twin Builder Software | Simulation-Based Digital Twin Models](^3^)

- [How AI and ML are Changing Simulation - Ansys](^4^)

Source: 

(1) Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder.

(2) Get the Best Digital Twin with Hybrid Analytics - Ansys. https://www.ansys.com/blog/get-the-best-digital-twin-with-hybrid-analytics.

(3) Ansys Twin Builder | Create and Deploy Digital Twin Models. https://www.ansys.com/products/digital-twin/ansys-twin-builder.

(4) Get the Best Digital Twin with Hybrid Analytics - Ansys. https://www.ansys.com/blog/get-the-best-digital-twin-with-hybrid-analytics.

(5) Ansys Twin Builder Software | Simulation-Based Digital Twin Models. https://wildeanalysis.co.uk/software/design-simulation/ansys/platform/twin-builder/.

(6) How AI and ML are Changing Simulation - Ansys. https://www.ansys.com/blog/how-ai-and-ml-are-changing-simulation.

No comments:

Post a Comment