A driving-cycle-aware shape and topology optimization pipeline for IPMSMs, using k-means clustering, NGnet, and splines, achieves up to 10% permanent-magnet reduction with maintained torque and near-reference efficiency, validated by manufacturing and testing two rotor designs.
Design Optimization Methodology for High-Frequency Rotary Transformers for Contactless Power Transfer Systems
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
Analytical model for miniature rotary transformers derives magnetizing and leakage inductances via magnetic equivalent circuit including fringing and air gaps, validated with FEA and experiments.
citing papers explorer
-
Driving-Cycle-Aware Shape and Topology Optimization of an Interior Permanent Magnet Synchronous Machine for a Traction Drive
A driving-cycle-aware shape and topology optimization pipeline for IPMSMs, using k-means clustering, NGnet, and splines, achieves up to 10% permanent-magnet reduction with maintained torque and near-reference efficiency, validated by manufacturing and testing two rotor designs.
-
Accurate Analytical Modeling of Small-Size Rotary Transformers for Wound-Rotor Resolvers
Analytical model for miniature rotary transformers derives magnetizing and leakage inductances via magnetic equivalent circuit including fringing and air gaps, validated with FEA and experiments.