JMAG-Designer
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[JFT128] Evaluating Drive Cycle Time Using Efficiency Maps
This document describes the method for using obtained efficiency maps to confirm the efficiency history, operating points, cluster points, and total energy, etc., for drive cycle …
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[JFT126] Vectorizing Signals in a Control Circuit (MUX, DEMUX)
This document describes the methods for using a signal vectorization component (MUX) and vector disassembling component (DEMUX) in a control circuit.
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[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.
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[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.
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[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.
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[JFT123] Accounting for Residual Strain
This document explains the procedure for executing magnetic field analysis and iron loss analysis that account for residual strain.
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[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.
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[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).
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[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…
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[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…
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[L-OP-34] Using MATLAB’s Optimization Engine in JMAG
MATLAB is widely used in the engineering field, and the MATLAB Global Optimization Toolbox is often used for optimization calculations also.
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Reduction of Optimal Design Time for IPMSMs for Automotive Applications Using Machine Learning
Yuki Shimizu, Osaka Prefecture University
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JMAG & GT-SUITE Link for EV Traction Motor 1D Thermal Analysis
Masako Shibamori, AISIN SEIKI CO., LTD.
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Motor Loss Calculation under PWM Switching
Jihyun Kim, General Motors
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Application of SIMP-based Topology Optimization in JMAG
Sukhwa Jung, DENSO CORPORATION
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Application of Topology Optimization Analysis Technology for Traction Motor of Automotive
Yukihiro Yoshinari, Hitachi Automotive Systems, Ltd.
