Tag: tribe_events
Energy
Events
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The webinar Simulating Battery Energy Storage Ventilation and Deflagrations in CONVERGE, aims to examine CFD-based simulation approaches for battery energy storage system (BESS) ventilation and deflagration scenarios using CONVERGE. It will cover modeling of vent gas dispersion, ignition and pressure development, ventilation strategies, and explosion behavior, highlighting how simulation can support the evaluation of safety […] |
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This webinar aims to introduce Ansys Mechanical software and its user interface. Topics include the workflow for setting up and running a basic simulation model, factors influencing solution efficiency and result accuracy, and tips to improve productivity in the simulation workflow, serving as a foundational basis for further study of the software. For registration click […] |
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This webinar aims to examine simulation-driven design approaches for proton exchange membrane fuel cells (PEMFCs) using COMSOL Multiphysics®, covering high-temperature and open-cathode configurations. It explores three-dimensional multiphysics modeling of flow fields, reactant transport, thermal behavior, and electrochemical reactions, validated experimentally through polarization, pressure-drop, thermal, and impedance analyses to support scalable hydrogen energy systems. For registration […] |
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The webinar, Ansys Simulation Solutions for Heat Transfer and Thermal Management – 2026 Update, provides an overview of updates to Ansys simulation tools supporting heat transfer and thermal management, from R&D through in-service troubleshooting. It covers CFD-based thermal analysis using Ansys Fluent, FEA-based conduction and radiation modelling using Ansys Mechanical, and 0D/1D system-level simulation using […] |
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The webinar Inside the AI Factory: Simulating High-Fidelity Electrical Dynamics, aims to explore the role of high-fidelity system simulation in addressing the dynamic electrical challenges of AI data centres. It aims to demonstrate how engineers can evaluate 800 V DC power architectures under scenarios such as fluctuating AI workloads, power outages, and startup or shutdown […] |
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