JMAG-Designer

[JFT213] Offline Optimization Using Response Value Surrogate Model and Geometry Check Surrogate Model

This tutorial describes the procedures to export a geometry check surrogate model from an optimization run with a response value surrogate model to execute an optimization that re…

• Technical Themes: AI / Machine Learning and Design Exploration / Optimization

[JAC314] Torque Analysis of an SPM Motor Using a Halbach Array

This case study sets the magnetization pattern for a Halbach array to a two-dimensional SPM motor, and then compares it against a standard magnet arrangement. The results demonstr…

• Applications: Motor and SPM Motor
• Physical Phenomena: Magnetic Field

[JAC319] Design Exploration of an IPM Motor Using an Offline Optimization

This document introduces a process for an offline optimization run using a surrogate model to explore design solutions that satisfy the requirements in less time while also reduci…

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

[L-MO-216] Evaluating Motors Designs via Efficiency Maps While Accounting for Power Limits

This case study evaluates the efficiency maps and operating points of an IPM motor during the drive cycle while accounting for the power limits.

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

Advancing CSC Electrical Steels: From Material Development to Measurement and Prototype Applications

Chen Guan-Ming, China Steel Corporation

• Applications: IPM Motor and Motor
• Physical Phenomena: Magnetic Field, Structural, and Thermal
• Technical Themes: Design Exploration / Optimization, Efficiency Map, and Multiphysics

A Comprehensive Overview of Excess Loss Modelling Including Skin and Thermal Effects in a Permanent Magnet Assisted Synchronous Reluctance Machine Example…

Sigrid Jacobs / Jan RENS, ArcelorMittal

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

Induction Heating Analysis and Coil Shape Optimization Accounting for Cooling and Rotation/Translation Motion

Kenji Tani, NT TECHNO CORP.

• Applications: Induction Heating
• Physical Phenomena: Magnetic Field and Thermal
• Technical Themes: Design Exploration / Optimization and Multiphysics

A Modular Generator Design for Large Wind Turbines: Concept and Case Study

Masaya Inoue, Albatross technology inc.

• Applications: Generator
• Physical Phenomena: Magnetic Field
• Technical Themes: Design Exploration / Optimization

Advanced Cooling Techniques for Automotive Electrical Machines: Thermal Modelling and Experimental Validation

FENGYU ZHANG, University of Nottingham

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

Development Plan – Toward Data Driven Design –

Hiroyuki Sano, JSOL Corp.

High Fidelity 3D Virtual Prototype Integration into a Rapid Innovation Loop

Jacob Krizan, Ford Motor Company

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

What Is the Role of JMAG in the Electric Machine Design?

Po-Chang Hung, Gogoro Inc.

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

Multi-physics Design Optimization of an Externally Excited Axial Flux Machine

Martin Bruell, Schaeffler AG

• Applications: Axial Gap Type Motor and Motor
• Physical Phenomena: Magnetic Field, Structural, and Thermal
• Technical Themes: Design Exploration / Optimization and Multiphysics

Introduction to a New Motor Design Approach and BEV Optimization for Product Planning

Seiji Fukui, Mazda Motor Corporation

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

Machine learning in traction motor design – fragile hype or real revolution? An experience report.

Louis Jäkel, IAV Japan Co., Ltd.

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

Data-Driven Optimization of E-Machines Considering the Powertrain of Electric Vehicles

Maximilian Clauer, Dr. Ing. h.c. F. Porsche AG

• Applications: IPM Motor, Motor, and SPM Motor
• Physical Phenomena: Magnetic Field, Structural, and Thermal
• Technical Themes: AI / Machine Learning, Design Exploration / Optimization, and Multiphysics