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

Next Generation EV Motor Design Using JMAG-Designer

Bernd Cebulski, IAV GmbH

• Applications: IPM Motor and Motor
• Physical Phenomena: Circuit / Control, Magnetic Field, and Material
• Technical Themes: Efficiency map and Material Modeling / Loss Analysis

Analysis of Gas Proportional Solenoid Valve Using JMAG

Yuichi Mochizuki, PURPOSE CO.,LTD.

• Applications: Linear Solenoid / Linear Actuator
• Physical Phenomena: Magnetic Field
• Technical Themes: Design Exploration / Optimization

Examination of Refinement of the Method for Calculating the Starting Characteristics of Induction Motors

Takumi Kikuta, Toshiba Mitsubishi-Electric Industrial Systems Corporation

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

Introduction of New Coils (AST COIL) Using Motor Analysis Developed with Proprietary Manufacturing Methods

Kyohei Yanagisawa, ASTER CO., LTD.

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

Topology Optimization of Electric Machines for E-mobility Applications

Bharadwaj Raghuraman/Shafigh Nategh, Volvo Car Corporation

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

A Study of Improving Demagnetization Resistance Performance by JMAG Topology Optimization

Shogo Shintani, Toshiba Corporation

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

Application of Automation of Design Utilizing Optimization to Traction Motor

Tomoya Ueda, NIDEC CORPORATION

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

Optimization (multi-objective, multi-physical) and Verification of E-Motor Design Using Real Test Bench Data

Tim Schwartz / Sebastian Igel, Great Wall Motor Austria Research & Development GmbH

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

[JFT065] Obtaining Part Face Area and How to Set Conditions

This document explains how to set current values for a coil area.

• Technical Themes: Design Exploration / Optimization

[JFT124] Searching for the Parameter Range Reducing Geometry Collapse During Optimization Calculations

This document describes the method for using the functions useful in searching parameter ranges that reduce geometry collapse during optimization calculations.

• Technical Themes: Design Exploration / Optimization and Large-Scale Processing

[JFT148] How to Set an Electrical Component for Each Wire Using Winding Editor

In this document, the difference in the connection status of the circuit wire by selecting/clearing in the optional function of Winding Editor is checked.

[JFT070] Creating PM Motor Efficiency Maps Using JMAG-Designer (Accuracy Priority Mode)

This document describes how to create efficiency map studies (accuracy priority mode) using a JMAG-Designer efficiency map study (speed priority mode).

• Technical Themes: Design Exploration / Optimization, Efficiency map, and MBD

[JFT150] Running Calculations of Multiple Studies Connected on Circuits

This documents explains the procedures on how to run analysis of multiple FEM analysis connected on circuits in JMAG-Designer.

[JFT146] Optimization Calculation Using Surrogate Models

This document describes as the workflow for optimization calculations using surrogate models creating training data, creating the sample case, and using a surrogate model in runni…

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