Exhibitors

Helping you design and create machines is what drives us. Our mission is to continue advancing engineering software you need in order to make exceptional products.
The main purpose of the Users Conference is to allow participants to exchange technology, and we would like it to be a place where everyone is brought closer together to share the vision of a brighter future for device manufacturing.
We hope you enjoy the exhibitions and technical discussions by JMAG’s technical partners.

ExhibitorsPartner seminar

Exhibitors

MotorAI Inc.
Nagaoka Motor Development Co., Ltd.
JFE Techno-Research Corporation
Hoganas Japan K.K.
MOTION SYSTEM TECH Inc.
DENSHIJIKI INDUSTRY CO.,LTD
FunctionBay, Inc.
ARD CORPORATION
Nichia Corporation
DSP Technology Co.,Ltd.
Smart Energy Laboratory Co.,Ltd.
Hexagon
SCSK Corporation
HIOKI E.E. CORPORATION
NewtonWorks Corporation
Myway Plus Corporation
Rescale Japan K.K.
TOYO Corporation
Amazon Web Services Japan G.K.
JFE Steel Corporation
CYBERNET SYSTEMS CO., LTD.
Nipponkinzoku.co.jp
Typhoon HIL Japan
TOYO DENKI SEIZO K.K.
Sumitomo Heavy Industries, Ltd.
VACUUMSCHMELZE GmbH & Co. KG
Speedgoat GmbH

Partner seminar

MotorAI Inc
PS-01 Wednesday, December 3 12:05-12:40

Introduction to Autonomous Motor Design System with JMAG-Designer and AI Agent Integration: User Case Studies

As the demand for motor design rapidly increases with the acceleration of electrification, the shortage of design engineers and the need for shortened development cycles are becoming more pressing. To address these challenges, we have been developing a “Motor Design Agent” that leverages our proprietary generative AI technology.
In this presentation, we will introduce an autonomous motor design and development process integrated with JMAG-Designer. In this system, AI agents work in conjunction with JMAG-Designer to automatically execute the entire design workflow, from initial concept ideation, CAD model creation, and analysis condition setup, to design optimization and result evaluation. Furthermore, we will present case studies of motor design projects conducted in collaboration with Toyota Motor Corporation, Daikin Industries, and Mitsubishi Heavy Industries.

Language: JAInterpretation: EN

Rescale Japan K.K.
PS-02 Wednesday, December 3 12:10-12:40

From Hours to Minutes: JMAG Scaling Enables Large-Scale Design Space Exploration and Optimization

Modern electric motor design demands a shift from single-point analysis to comprehensive design space exploration. However, executing the hundreds or thousands of simulations required for multi-objective optimization, efficiency mapping, and data-driven design is often unrealistic due to computational resource constraints. This presentation introduces a turnkey cloud HPC platform enabling JMAG users to overcome these bottlenecks. Through a case study of an EV drive motor, we will concretely demonstrate methods for automating and parallelizing a Design of Experiments (DOE) involving 1,000 points. We will also explain how to seamlessly access diverse hardware architectures—from multi-core CPUs suitable for FEA to the latest GPUs—and find the optimal cost-performance ratio for each job. This session provides practical strategies for JMAG engineers to dramatically reduce design cycle times, increase simulation throughput by over tenfold, and accelerate the path to true simulation-driven virtual prototyping.

Language: JAInterpretation: EN

Sumitomo Heavy Industries, Ltd.
PS-03 Wednesday, December 3 14:40-15:10

Reducing cogging torque caused by assembly errors in flux modulation magnetic gear

The flux modulation magnetic gear was proposed in 2001, and it has been reported to achieve a significantly higher torque transmission density compared to conventional magnetic gears. In addition to its characteristics such as high efficiency, quiet drive, and low hysteresis loss, it possesses unique features not found in mechanical gears, including a greaseless drive, step-out torque, and compliance.
However, unexpected cogging torque components were observed in prototype testing, potentially degrading these benefits.
This study aims to reduce cogging torque through a comprehensive evaluation based on theoretical investigation, magnetic field analysis, and experimental testing.
The results identified assembly errors as a primary cause and confirmed that harmonic suppression via magnet skewing is an effective countermeasure.

Language: JAInterpretation: EN

NewtonWorks Corporation
PS-04 Wednesday, December 3 14:40-15:10

1D Modeling of Rotational Machinery Systems and the Influence of Bearing Characteristics

In this presentation, we will discuss vibration simulation of rotational machinery systems, including motors. To more accurately predict the vibrational behavior of a system, we propose a method for modeling the entire system using 1D CAE.
Specifically, we will focus on rolling bearings, and present analysis results from a model that incorporates their stiffness, as well as case studies on suppressing bearing-induced vibrations.
Additionally, we will explain the relationship between bearing stiffness, which changes with torque conditions, and the resulting natural frequency of the entire system.

Language: JAInterpretation: EN

Hexagon
PS-05 Wednesday, December 3 15:20-15:50

Introduction to Acoustic Simulation Software≪Actran≫ and Electromagnetic Coupling Feature (Workflow Manager)

We will introduce the basic features of Acoustic Simulation Software≪Actran≫.
In addition, we will present the noise analysis functionality for electric motors (Workflow Manager), which can be integrated with JMAG, along with examples of its application.

Language: JAInterpretation: EN

Speedgoat GmbH
PS-06 Wednesday, December 3 15:20-15:50

Combining FEM-Based Torque Ripple and Switching Inverter Dynamics for Electric Drive Controller Validation on Speedgoat HIL Systems

Torque ripple remains a critical challenge for precision control and NVH optimization in electric drive systems. While finite element (FEM) analysis using JMAG Designer accurately captures spatial harmonics and magnetic saturation effects, incorporating inverter switching dynamics often results in impractically long simulation times.
We present a real-time Hardware-in-the-Loop (HIL) methodology that combines JMAG-RT FEM motor data with a high-fidelity switching inverter model implemented in Simulink® and Simscape™ Electrical™. The resulting model runs on a Speedgoat HIL test system featuring a programmable FPGA I/O module, enabling sub-microsecond time steps while preserving all torque ripple contributions.
The complete workflow is addressed, supporting both Controller-HIL and Power-HIL configurations, to verify that production-ready control software and hardware achieve minimal torque ripple levels. The proposed methodology enables faster and more repeatable validation under realistic conditions, significantly reducing development cycle time and improving quality assurance.