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.
Determination of Number of Clusters in K-Means Clustering and Application in Colour Image Segmentation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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.