Ansys – Engineering Simulation Software

Engineering simulation technology is an integral part of product development. However, as digitalization brings forth more innovative and emerging technologies, advanced embedded sensors are expanding their functionality beyond product design and venturing into creating digital twins. As a renowned digital twin leader, Ansys is leveraging the advent of new technologies to create digital twins that perform real-time systems analysis, schedule predictive maintenance, and implement optimizations.

The Ansys Twin Builder is Ansys’ contribution to the digital twin landscape, where companies can implement complete virtual prototypes of real-world systems and assets. What sets Ansys Twin Builder apart is its digital twin simulation paradigm that exponentially increases operational efficiencies and schedules maintenance around predictive methodologies that offer more accurate results with more real-world testing and responses.

By leveraging the precise and accurate data results provided by Ansys Twin Builder, engineers can unlock additional value from their existing assets. This leads to the prevention of unscheduled downtimes, a reduction in operating costs, and a direct boost in efficiency on agnostic IoT platforms. Ansys Twin Builder offers an open solution for engineers to create simulation-based digital twins with hybrid analytics, further enhancing its value proposition.

Ansys is spearheading the digital revolution by delivering an analytics-driven, simulation-governed digital twin in the form of an integrated multi-domain system simulation that reflects the physical asset’s performance, lifespan, and experience. Ansys Twin Builder is a cutting-edge solution for improving top-line revenue, managing bottom-line costs, and gaining and maintaining competitive advantage.

From building, validating, deploying, and scaling digital twins to improving runtime capabilities and leveraging hybrid analytics, Ansys Twin Builder ensures enhanced lifecycle management—as evidenced by Ansys 2024 R1. Ansys’s latest digital twin model enhances digital twin capabilities by supporting new mechanical applications.

Ansys’ hybrid analytics-driven Ansys 2024 R1 digital twin is pioneering the next generation of digital transformation. It creates a platform that accommodates new, simpler optimization algorithms for parameter calibration, improves fusion workflow usability, and uses Twin Deployer to ensure workflow improvements. It also guarantees ROM creation automation, speed, and accuracy by enabling parametric field history in static ROM builder, integrating new LS-OPT/LS-DYNA ROM extraction and export, and continuously improving other ROM components.

We have fantastic products and the world’s best simulation software portfolio. This makes an essential difference, and customers understand that they can build up their businesses using our technology. — Ajei Gopal, CEO & President

Established in 1970, Ansys has expanded the horizons of digitalization for decades. The Pennsylvania, US-based company has a comprehensive portfolio of services, which testifies to its expertise and support for enterprises worldwide.

An Ansys client, a European motorcycle manufacturer, wanted to electrify the trails with its E-Ride dirt bike. However, along with the solitary use of automation, the company faced challenges in creating an entire workflow around battery optimization, as it required various tools to analyze thermal interactions to ensure thermal hotspot avoidance, temperature distribution, and charging efficiency.

With the help of Ansys Twin Builder and Ansys Mechanical, the motorbike manufacturer developed a simulation workflow and a full 3D model that assisted engineers in the virtual design, validation, and verification stages of traction batteries with optimized thermal properties. Leveraging Ansys Twin Builder allowed the company to build a simulation workflow comprising three submodules coupled at the system level. Furthermore, the Twin Builder Battery Wizard toolkit came in handy while generating automatic ECM lookup tables per cell of test data measured and recorded during pulse discharges at various temperatures.

The combination of Ansys Twin Builder and Ansys Mechanical also enabled parametric tuning for all circuit components, allowing modeling of the instantaneous cell behavior to capture the heat generation and output voltage of the cell at different temperatures and charge states. Once fully integrated into Twin Builder, the electro-thermal model of the battery pack simulated real-world drive cycles and predicted data outputs, including heat transfer, peak temperatures, and temperature distribution.