November 9, 2022
Date: 9 November, 2022
Time: 11 AM EDT
Duration: 1 hour
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Dealing with the design complexity of cyber-physical products and smart interconnected systems of systems is driving the need for increased use of advanced digital modeling, simulation, and multi-disciplinary analysis and optimization (MDAO) augmented with AI/Machine Learning predictive analytics technologies.
Industry leaders use MDAO and process automation to enable design innovation; reduce overall product design costs; minimize rework and manufacturing defects; and optimize in service operational performance and costs. Engineers can now define and apply multi-disciplinary MDAO and data analytics starting earlier in the conceptual design and development phase as well as applied in manufacturing and in service operations to enable combined physics and ML-based “hybrid digital twins”.
This webinar will review how the low code pSeven collaboration environment enables the capture, automation, and continuous refinement of best practices for performance simulation and collaborative design optimization.
Participation is free of charge, registration required.
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