Magnetic Field
- Sort condition
- Newest first
- Oldest first
- Large number of views
-
[JAC103] Efficiency Analysis of a Permanent Magnet Synchronous Motor
In this example, how to obtain the efficiency with a sinusoidal wave voltage drive at a rotation speed of 1,800 r/min and voltage amplitude of 40 V.
-
[JAC032] Analysis of a Transformer
In this example, the use of a magnetic field analysis to evaluate changes in the secondary voltage caused by load variations in a low frequency transformer.
-
[JAC260] Creating Axial Gap-Type Motor Efficiency Maps
In this example, the motor performance of axial gap-type motors with changes made to the flatness ratios.
-
[JAC277] Vibration Analysis of Axial Gap-Type Motor
In this example, phenomena confirmed in axial gap-type motors that occur at maximum sound pressure level, from an electromagnetic excitation force and eigen mode perspective.
-
[L-OP-25] Utilizing JMAG in Cloud Services
More cloud services for CAE continue to be offered. This allows sufficient computational resources to be used when needed to perform analysis work.
-
[JAC211] IPM Motor Wire Joule Loss Analysis
In this example, evaluation of coil joule loss that includes eddy currents during motor rotation is introduced here.
-
[W-MA-88] Improvements in Accuracy of Anomalous Eddy Current Loss Calculations (1)
In iron loss analysis, conventionally, methods using previously measured iron loss data have been mainly used (hereinafter referred to as conventional methods).
-
[JAC275] IPM Motor Iron Loss Analysis Accounting for the Effect of Residual Strain
In this document, an analysis of an IPM motor accounting for the residual strain that occurs as a result of punching processes, and evaluates the effect on torque, magnetic flux d…
-
[W-OP-96] Necessity of GA for Multi-Objective Optimization of Drive Motor
In this paper, the multi-objective optimization calculation has 12 design variables (8 geometric variables, 4 circuit variables) with 6 objective functions (maximize torque, minim…
-
AI Technology with Aid of Data-driven Method Makes EM Simulation and Optimization More Effective
Hajime Igarashi, Hokkaido University
-
Reduction of Optimal Design Time for IPMSMs for Automotive Applications Using Machine Learning
Yuki Shimizu, Osaka Prefecture University
-
3D Design of Magnetic Components by Gaussian Kernel Regression -Forward Design and Inverse Design-
Yuki Sato, Texas Instruments Japan Limited
-
JMAG & GT-SUITE Link for EV Traction Motor 1D Thermal Analysis
Masako Shibamori, AISIN SEIKI CO., LTD.
-
Heat Balance of 90kW Class 50,000rpm SPM Motor for Rocket Engine Propellant Supply -Modeling by Linking JMAG-RT and AMESIM Software-
Mitsuru Shimagaki, Japan Aerospace Exploration Agency
-
Motor Loss Calculation under PWM Switching
Jihyun Kim, General Motors
-
Application of SIMP-based Topology Optimization in JMAG
Sukhwa Jung, DENSO CORPORATION
