AINeutralarXiv – CS AI · 18h ago6/10
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A Multi-Agent System for IPMSM Design Optimization via an FEA-AI Hybrid Approach
Researchers propose an automated multi-agent AI system for optimizing Interior Permanent Magnet Synchronous Motor (IPMSM) design that combines retrieval-augmented generation, finite element analysis, and machine learning surrogates. The framework addresses traditional bottlenecks in motor design by automating problem setup, reducing computational costs, and improving prediction reliability through uncertainty-aware switching between AI inference and high-fidelity simulation.