[JAC262] IPM Motor Thermal Demagnetization Analysis Accounting for Dy-Diffusion Magnet Incomplete Magnetization

In this example, a motor using Dy diffused magnets the thermal demagnetization resistance of the Dy diffused magnets with a coercive force distribution when there is incomplete ma…

• Applications: IPM Motor and Motor
• Physical Phenomena: Magnetic Field and Material
• Technical Themes: Multiphysics

[JFT025] Creating a Graph Showing the Correlation between Time History Physical Quantities

In this document, the procedure for displaying the correlation between two physical quantities on a graph is presented.

[JFT157] How to Output the Physical Quantities of Multiple Cases to Files in Batches by Using the Multi-Purpose File Export Tool

This document describes how to output the physical quantities of multiple cases in batches by using the Multi-Purpose File Export tool.

• Technical Themes: MBD and Multiphysics

[JFT156] Creating Shapes Using NGnet Weight

This document describes how to restore only the necessary shapes from NGnet weight after running topology optimization using NGnet.

• Technical Themes: Design Exploration / Optimization

[JFT056] Using an Electromagnetic Force Output Script for NVH

This document presents sample data and procedures to learn how to use an "electromagnetic force output for NVH" script.

• Technical Themes: MBD and Multiphysics

[JFT149] How to Create JMAG-RT Model with JMAG Designer and Run Consecutive Control Simulation

This document explains the procedure on how to create a JMAG-RT model in JMAG-Designer and how to use the created model to run consecutive control simulation.

• Technical Themes: Efficiency map

[JFT121] Calculating Energy Consumption During Drive Cycle Using Efficiency Maps

This document describes the method for calculating energy consumption during a drive cycle using an obtained efficiency map and tools.

• Technical Themes: Efficiency map

[JAC017] Inductance Analysis of an IPM Motor

This Application Note explains how to obtain the current phase angle characteristics of a dq axis inductance that accounts for magnetic saturation and flux leakage in an IPM motor.

• Applications: IPM Motor and Motor
• Physical Phenomena: Magnetic Field
• Technical Themes: Multiphysics

[JAC223] Multi-Objective Optimization of an IPM Motor Accounting for Stress at High-Speed Rotation

In this example, the optimum current phase that achieves high torque per each geometry is obtained, and the torque characteristics (1,000 r/min) and stress due to centrifugal forc…

• Applications: IPM Motor and Motor
• Physical Phenomena: Magnetic Field and Structural
• Technical Themes: Design Exploration / Optimization

Electric Pump Vibration Analysis (Establishment of the Magnetic Field-Structural Coupled Analysis Method)

Takafumi Seki, Panasonic Corporation

• Applications: Motor and SPM Motor
• Physical Phenomena: Magnetic Field and Structural
• Technical Themes: Multiphysics

Vibration Prediction of Permanent Magnet Synchronous Motors by Aid of JMAG

Toru Mizota, YANMAR HOLDINGS CO., LTD.

• Applications: IPM Motor and Motor
• Physical Phenomena: Circuit / Control, Magnetic Field, and Structural
• Technical Themes: Design Exploration / Optimization and Multiphysics

Optimal Design of Instantaneous High-output Motor for Basketball Robots

Yoshihiro Okumatsu, TOYOTA MOTOR CORPRATION

• Applications: IPM Motor, Motor, and SPM Motor
• Physical Phenomena: Magnetic Field
• Technical Themes: Design Exploration / Optimization

Performance Analysis Method of IPM Motor for EV Using Electromagnetic Simulation(JMAG)

Yoshihisa Kubota, Honda R&D Co.,Ltd

• Applications: IPM Motor and Motor
• Physical Phenomena: Magnetic Field
• Technical Themes: Design Exploration / Optimization and Large-Scale Processing

EV IPM Motor Continuous Operation Loss Evaluation Based on Hysteresis Play Model

Marin Vulic, Rimac Automobili d.o.o.

• Applications: IPM Motor and Motor
• Physical Phenomena: Magnetic Field and Material
• Technical Themes: Material Modeling / Loss Analysis

Calculation Cost Reduction Method in Multi-Objective Optimization Using Machine Learning: Case Study on Actuator Development

Tomohiro Kuroda, AISIN CORPORATION

• Applications: Linear Solenoid / Linear Actuator
• Physical Phenomena: Magnetic Field
• Technical Themes: AI / Machine Learning, Design Exploration / Optimization, and Large-Scale Processing

DOE-based Optimization of Electrical Machines

Stephan Guenther, IAV GmbH

• Applications: IPM Motor and Motor
• Physical Phenomena: Magnetic Field
• Technical Themes: AI / Machine Learning, Design Exploration / Optimization, and Large-Scale Processing