Magnetic Field
- Sort condition
- Newest first
- Oldest first
- Large number of views
-
Induction Heating Analysis and Coil Shape Optimization Accounting for Cooling and Rotation/Translation Motion
Kenji Tani, NT TECHNO CORP.
-
A Modular Generator Design for Large Wind Turbines: Concept and Case Study
Masaya Inoue, Albatross technology inc.
-
A Study on Optimal Combinations of Winding and Cooling Methods for Downsizing Power Units in Motorcycles Utilizing JMAG 1D Thermal Analysis
Ryota Otaki, YAMAHA MOTOR CO., LTD.
-
Advanced Cooling Techniques for Automotive Electrical Machines: Thermal Modelling and Experimental Validation
FENGYU ZHANG, University of Nottingham
-
Challenges for Wide Frequency Band Operation of Inverter Drive Motors
Kazumasa Ide, Nagoya University
-
High Fidelity 3D Virtual Prototype Integration into a Rapid Innovation Loop
Jacob Krizan, Ford Motor Company
-
What Is the Role of JMAG in the Electric Machine Design?
Po-Chang Hung, Gogoro Inc.
-
Multi-physics Design Optimization of an Externally Excited Axial Flux Machine
Martin Bruell, Schaeffler AG
-
Development of a High-Speed Optimization Workflow Utilizing HPC-Based Multi-Case Distributed Computing
Takuya Yoshioka, DENSO CORPORATION
-
Shape Optimization to Improve the Coupling Coefficient of a Power Transformer
Ryosuke Takayama, DIAMET CORPORATION
-
Introduction to a New Motor Design Approach and BEV Optimization for Product Planning
Seiji Fukui, Mazda Motor Corporation
-
Machine learning in traction motor design – fragile hype or real revolution? An experience report.
Louis Jäkel, IAV Japan Co., Ltd.
-
Data-Driven Optimization of E-Machines Considering the Powertrain of Electric Vehicles
Maximilian Clauer, Dr. Ing. h.c. F. Porsche AG
-
Acceleration of Shape Search for Axial Flux-Switching Motors with Surrogate Models
Yuto Kimura, YANMAR HOLDINGS CO.,LTD.
-
Exploration of Motor Skew Specifications Using Parametric Optimization
Yoshiki Sakuma, AISIN CORPORATION
-
Large-Scale Analysis of High-Efficiency Induction Motor for Railway Traction Applications
Hiroshi Yoda, Railway Technical Research Institute
