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Systems Simulation

Fast-tracking the development of autonomous vehicles, drones and robots via engineering simulation

    Designers of autonomous vehicles, drones & robots face key safety and reliability challenges when integrating machine vision & complex sensors. Engineering simulation tools can form part of a complete control loop for autonomous systems, helping to replicate the real world performance of sensors in a consistent and repeatable virtual test environment and leading engineers to solve issues before they become a problem in real life.

    ANSYS Simulation results for Printed Circuit Boards (PCBs)

    Moving towards a Comprehensive Virtual PCB Testing Platform

      Trends such as such as Industry 4.0, the Internet of Things (IoT), drones, smart home technology and autonomous vehicles are continuing to push PCB technology to its limits. Electronics engineers are now needing to focus on more than just the electromagnetics aspects of PCB design, and are increasingly concerned about power consumption, thermal & vibration issues linked to reliability concerns in harsh environments.

      A working example of a Simulation-enabled Digital Twin

      Is your company developing a Digital Twin strategy? LEAP’s engineers have created working examples of a Simulation-based Digital Twin in action – a real-time, virtual replica of your equipment constantly updated through IoT data that provides you with:
      – insight into real-time performance using extra Virtual Sensor outputs
      – data to assess machine health & identify possible failure conditions
      – actionable data to enable predictive maintenance & avoid costly downtime.

      Engineers need an integrated Simulation toolset to develop and optimise safe autonomous systems

        Learn how ANSYS’ integrated toolset can overcome the complex technical challenges in the development of fully autonomous systems: helping to deliver safe and reliable systems that operate efficiently in complex, changing environments. As engineers, we intuitively understand that comprehensive simulation is the only way to thoroughly consider all real-world scenarios for these systems in a fast and cost-effective way.