AI Bridges the Gap: Automating Detailed CAE for Superior Design Validation

This article highlights an innovative application of AI in engineering, focusing on automating the transition from lightweight to detailed CAE analysis. By using AI Agents, the process streamlines the traditionally manual tasks of data conversion and mesh planning, enhancing efficiency and accuracy. The automated report generation is a particularly exciting step toward a more efficient design process.

• •AI orchestrates data bridging between lightweight and detailed CAE models.
• •AI Agents automate mesh planning by focusing on stress concentration areas.
• •Python APIs are leveraged to give AI control over high-fidelity solver operations, like Ansys.