JMAG-Designer
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High Performance, Sustainable and Affordable Rare-Earth Free Electric Machines.
Philippe FARAH, YEESMA
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Optimization and High-precision Modeling of Permanent Magnet-free Motors
Daisuke Sato, Nagaoka Motor Development Co., Ltd.
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JMAG Thermal Analyses for Higher Efficiency in Cooling System Design During Motor Product Development
Manabu Kawaji, AISIN CORPORATION
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Electromagnetic Vibration and Noise Analysis of Induction Motor Using JMAG and Actran for Realizing Virtual Prototyping
Hayato Naojima, Fuji Electric Co., Ltd.
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Optimization Calculation of Induction Hardening Condition by Using PSL on a Cloud Computing Service
Tomohiro Kishi, KYB Corporation
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Ultra Efficient and Power Dense Motors for Electric Vehicles
Emad Dlala, Lucid Motors
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Large-scale Simulation and Optimization Using PSL
Kim Bergsro, Volvo Cars
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Topology Optimization of Induction-Coil for Steel Strip Heating
Masato Taira, NIPPON STEEL CORPORATION
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Smart Motor Control Technology Evolving with AI – Virtual Sensors and Fault Detection –
Atsushi Katagiri, MathWorks Japan
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[JAC205] Analyzing the Torque Characteristics of IPM Motors Using a Thermal Equivalent Circuit
Here, we confirm a situation where temperature increases due to eddy current of the iron loss and magnet, which causes demagnetization of the magnet and torque reduction.
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[JFT191] Automatic Export of Result Tables Using Script
This tutorial describes the procedures to distribute and run an analysis group consisting of an efficiency map analysis study (speed priority mode) and a parametric optimization u…
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[JAC219] Axial Gap Type Motor Cogging Torque Analysis
In this example, presents an example of cogging torque analysis of an axial gap type motor.
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[JFT192] User-defined Thermal Resistance Settings Using Python
This tutorial describes the procedures to specify thermal resistance using Python scripts.
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[JFT189] Creation of a Transfer Function and the Vibration Analysis using JMAG-Designer
In this document, you will learn the steps to create a transfer function of a motor and perform the vibration analysis.
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[JAC293] Axial Gap Motor Geometry Optimization Using Surrogate Models
In this example, the dimensions of an axial gap motor are optimized by using surrogate models, then the Pareto curves and the effect of reduction in calculation times when using s…
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[JFT164] Searching for a Parameter Range that Reduces Geometry Collapse During Optimization Calculation (For Ver.22.0 or later)
This document explains how to use this useful function to search for parameter ranges that reduce geometry collapse during optimization calculations.