Industrial Automation and Machinery

• Model and test production equipment and its subsystems
• Design controls and supervisory logic
• Run automatic tests on equipment functions
• Turn data-driven and physics-based models using real-world data from the operating asset to act as a digital twin.
• Design AI algorithms for predictive maintenance and operations optimization
• Generate real-time code (C/C++, IEC 61131-3) for industrial controllers and PLCs
• Identify and eliminate design errors early in the process

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• Verify and optimize designs for the best performance
• Develop virtual prototypes and digital twins
• Couple electromagnetics with heat transfer, structural mechanics, fluid flow, and other physical phenomena
• Test different geometries, thermocouple configurations, and material selection
• Build, solve, and post-process models
• Perform cosimulation with Simulink.
• Evaluate EMI/EMC considerations and thermal management of airborne electronic equipment
• Build simulation apps

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• Reduce the development time of industrial control algorithms.
• Deploy model-based designs in real-time when working on control systems and interface them with any manufacturing plant device.
• Develop, tune, and test motion control algorithms
• Validate industrial equipment throughout all stages of development in real-time with Hardware-in-the-Loop
• Execute digital twins of any hardware components in real-time target machines.
• Ensure that all the electronic control units’ functionality, safety, and certification requirements are met

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