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Multi-disciplinary system simulation is a type of simulation that involves multiple engineering disciplines, such as aerodynamics, fluid dynamics, heat transfer, and structural mechanics. This type of simulation is used to study and analyze the behavior of complex systems, often in an effort to optimize the performance of a design or process. It typically combines different physics-based models in order to simulate and predict the behavior of components and systems in a range of different conditions. The results of the simulations can be used to inform decisions about design and processes, making it an invaluable tool for engineering teams.
... Multi-Disciplinary System Simulation, Altair Activate™ provides an open integration platform for modeling, simulating and optimizing multi-disciplinary systems-of-systems using inherent 1D block diagrams. Users have the option to include subsystem models from Altair MotionSolve and Altair ...
... Enables true multi-disciplinary system simulation via co-simulation with MotionSolve® for controlled multi-body dynamics, Flux for controlled motor dynamics models, etc. ...
... Enables true multi-disciplinary system simulation via co-simulation with MotionSolve® for controlled multi-body dynamics, Flux for controlled motor dynamics models, etc. ...
... Multi-disciplinary System Simulation ...
... Amir Mortazavi, PhD oversees the multi-disciplinary system simulation, design, and optimization and design of advanced machine learning systems for analyzing and controlling the buildings in GreenGen’s engineering group, which is responsible for assessments, solution design, engineering, and ...