Date
30th April 2025
Virtual Global Event
ATC x AEC
Join us to explore how experts use cutting-edge simulation, AI, and data analytics to push the boundaries of product design in the high-tech, automotive, and aerospace industries.
Time
10:00 AM
Location
Virtual Global Event
Event Details:
This event will highlight how experts leverage converging simulation, AI, and data analytics technologies to push the boundaries of product design. Tracks will cover high-tech, automotive, and aerospace industries.
Experts from different industries will provide insights on purpose-driven approaches that combine modern technologies to inform maintenance scheduling and thereby avoid unwanted downtime for systems in operations.
WHO SHOULD ATTEND:
- Mechatronic Engineers interested in the latest tech developments in manufacturing, heavy-equipment, and high-tech fields.
- Engineering managers who want to reduce time-to-market through simulation and workflow efficiency.
- Operations Managers with the goal of maximising asset availability and optimising specific KPIs of systems in operation.
Don’t miss this opportunity to bring your design development ahead of the curve in the world of Digital Twins.
Agenda:
Altair’s one total twin solution – comprehensive and open
- A single, open Digital Twin framework offers easy workflows to complete system-level optimisation.
- Design, build, test, optimise, evaluate what-if scenarios, perform predictive maintenance, and extend the remaining useful life (RUL) of your products.
- Deploy digital twin technology when and where you need it — through any or all lifecycle stages
- AI-powered technology unites real-world and simulation data to rapidly enhance design, development, and manufacturing.
- Combine leading simulation, high-performance computing (HPC), artificial intelligence (AI), data analytics, and internet of things (loT) capabilities.
Typical goals for Digital Twins used during product design and development are:
- Reducing costs, time and energy by eliminating the need for physical prototypes
- Accelerating design optimisation
- Streamlining mechatronic product development
- Simulating system dynamics under what-if scenarios
Typical goals for Digital Twins used for operations are:
- Improving energy efficiency by identifying and optimizing relevant controller parameters
- Reducing cost with anomaly detection and predictive maintenance
- Improving performance with predictive analytics and maintenance for systems in service,
- Eliminating failures with optimal operational adjustments that maximize system life.
- Enhancing virtual commissioning with physical details
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