2023
- Sort condition
- Newest first
- Oldest first
- Large number of views
-
SIMBA, Reinventing Motor Drive Simulation
Ryoko Imamura, Powersys
-
1 : JMAG-Ansys-Optimus Electromagnetic Field-Structure Analysis 2 : AI and PIDO Integration -Fast non-parametric shape optimisation-
Mio Hashiba, CYBERNET SYSTEMS CO., LTD.
-
Model-Based Calibration Enables Optimal Torque Control of Synchronous Motors in a Short Time
Atsushi Katagiri, MathWorks Japan
-
Analysis of Electromagnetic Force Acting on a Workpiece During Induction Heating
Go Hagimoto, NSK Ltd.
-
Optimizing Motor Shrink Fitting Process Conditions using Induction Heating
Keisuke Ando, NIPPON THERMONICS CO.,LTD
-
Initiatives in Induction Hardening Simulation by coupling JMAG and Simufact
Ippei Ohnuma, NDK Inc.
-
Electrical Power & Propulsion Systems for Advanced Air Mobility 3D Design Space Exploration
Florian Birnkammer, Rolls-Royce Deutschland Ltd & Co KG
-
Coupled Optimization of Active and Passive Components in Electric Machines: Towards Performance, Efficiency, Reliability and EMC Objectives
Mohamed Essam Ahmed, AVL List GmbH
-
Applied Cases of EV Motor Controller Tuning by MILS using JMAG-RT
Nobuo Morimura, SUBARU CORPORATION
-
Enabling Full EDU Optimization and Losses Analysis Under Different PWM Strategies and DC Voltages Employing Combined JMAG-MATLAB Simulation Environments
Nicola Rossi, Rimac Technology
-
Validated Efficiency Simulation of Electrical Machine Based on JMAG-Designer
Li Chen, United Automotive Electronic Systems Co.,Ltd.
-
H3X Integrated Motor Drives: Delivering World-Class Power Density for Maximum Vehicle Range
Max Liben, H3X Technologies
-
Modeling Study of Magnetic Properties in Stator Cores with Splits in the Core Back Region and Study of Application to Design
Yu Hirotani, Mitsubishi Electric Corporation
-
Optimized Design of Extrusion Molding System using Multi-Step Magnetization Function
Mayu Maruyama, Power Supply Technology Co., Ltd. (Abbreviated: PST)
-
Initiatives in Improving the Design Accuracy and Performance of Magnetic Bearings
Ryoma Yamamoto, Kawasaki Heavy Industries, Ltd.
-
Comparing Numerical with Statistical Iron Core Loss Modelling Approaches for Application in Automotive Traction Electrical Machines
Sigrid JACOBS / Jan RENS, ArcelorMittal