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.
Exhibitors
Partner seminar
Performance Change of Amorphous Alloy in Stator Machining and Design of Amorphous High Speed Motor for Pump and Robot
Taking the actual case of an engineered EV amorphous motor of an Automaker as the research object, the changes in the magnetic characteristics of amorphous materials during amorphous single-layer, multi-layer, stamping and stacking processes are studied, and the parameters of the magnetic characteristics of amorphous materials are corrected. Together with JMAG, Yunlu provides material properties that better meet the simulation requirements for practical engineering scenarios. Through the engineering exploration of amorphous core processing, Yunlu’s latest high-saturation magnetic density amorphous materials are applied to the design of high-speed pump motors, robot amorphous motors, etc., The potential improvements in power density, efficiency and torque of amorphous motors for these two application scenarios are demonstrated. Finally, through certain test data and simulation of different schemes, compared with the analysis of silicon steel motor, the optimal operating high-frequency point and recommended operating magnetic flux density for amorphous alloys are obtained.
PSL License / 1 Job, 100 Cases Performance Comparison: 96-Core Cluster vs. 96-Core Workstation 2D and 3D Benchmark
As the cost of electronic components such as memory and storage continues to rise, minimizing hardware investment while maximizing the utilization of PSL licenses has become a key challenge.
By comparing computational performance against hardware cost, we analyze cost-effectiveness and identify the optimal system configuration for each use case based on real benchmark data
From Motor Design to System-Level Design
Multiphysics Design Workflows with JMAG and Cadence Technologies
In recent years, product development has increasingly required system-level optimization across multiple engineering domains, including electronics, controls, mechanics, and thermal management. In motor development as well, design studies that consider various physical phenomena beyond electromagnetic analysis are becoming increasingly important.
This presentation will introduce the Cadence vision and its broad product portfolio, along with the key features and latest capabilities of the thermal-fluid simulation software scFLOW. Through examples of integration with JMAG, we will demonstrate an approach that expands design exploration beyond electromagnetic analysis to a broader multiphysics perspective. We will also discuss new possibilities for simulationdriven development in engineering environments that are evolving from motor design to system-level design.
Proterial’s Motor Solutions: Creating Value through Materials
Enhancing motor performance requires advances in materials and designs that fully utilize their properties. We aim to identify customer challenges from a motor-design perspective and propose optimal material solutions. This presentation will introduce higher-torque solutions using orientation-controlled magnets and Permendur, as well as higher-speed solutions using amorphous alloys. Using JMAG analysis examples, we will demonstrate how the characteristics of these materials affect motor performance and present our materials-driven approach to solving customer challenges.
Multiphysics and Engineering AI, connected through Simcenter X
~ Next-Generation Simulation, Powered by JMAG ~
The use of simulation is expanding from single-physics analysis to multiphysics, where multiple physical domains are combined, and further toward AI-driven design and analysis.
In this presentation, we will introduce the world of multiphysics extending from JMAG, the future possibilities of design and analysis enabled by AI, and a new simulation environment connected through Simcenter X.
[TBA]
As the cost of on-premises hardware continues to rise, interest in the cloud as an alternative platform for simulation workloads is growing.
In this session, we will introduce practical ways to use the cloud for JMAG simulations, helping reduce simulation wait times and allowing engineers to devote more time to design and validation.
In the first half, AMD will explain how to select the right Amazon EC2 instances powered by AMD EPYC™ processors for different simulation scales and use cases, based on factors such as clock speed, core count, and memory capacity.
In the second half, AWS will introduce the benefits of scalable cloud resources, parallel execution of multiple simulation cases, and purpose-built HPC instances. Attendees will learn how running JMAG on AWS can provide faster performance and greater flexibility.
Development of Motor Thermal Management Models Using JMAG Data and Their Application to Energy Management
NewtonWorks has previously presented methodologies for motor vibration analysis, motor system design, and rotating machinery system modeling. This presentation extends these activities and introduces applications of 1D models for motor thermal management and energy management.
The presentation explains the development of motor thermal models using iron-loss data calculated by JMAG and introduces variations of cooling models. It also discusses the importance of thermal and energy management in electrified systems from the perspective of energy balance evaluation, including not only the motor but also battery systems.
In addition, the presentation reviews potential applications of AI in model development and utilization , and discusses future directions for model-based development.
Ultrathin High-Flux Electrical Steel for Drone and Robotic Motors with a JMAG-Based Design Workflow
This presentation introduces a material-oriented approach to motor design, focusing on ultrathin high-flux electrical steel (ES) for high-performance drone and robotic motor applications. The effects of material properties and lamination thickness on core loss and motor performance, particularly at high electrical frequencies, are discussed. JMAG finite-element analysis is used to evaluate motor characteristics such as torque, efficiency, and iron loss, and to investigate the relationship between application requirements, electrical-steel selection, and motor design.
Practical examples using ultrathin high-flux ES for high-frequency motor applications will be presented to demonstrate its potential for improving motor performance. In addition, a conceptual workflow integrating material data, analytical models, JMAG simulation, and data-driven methods will be introduced as a possible approach for future AI-assisted motor design. The presentation aims to show how advanced electrical-steel development and electromagnetic simulation can work together to support the development of high-performance motors for emerging applications.
Automated Motor Design and Development Process with JMAG-Designer and AI Agents
As the demand for motor design increases in line with the acceleration of electrification, there is a growing shortage of designers and a demand for shorter development times. To address these issues, we are working on the development of a 'Motor Design Agent' using our proprietary generative AI technology.
In this presentation, we will present an automated motor design and development process with JMAG-Designer and AI Agents. The AI Agent works with JMAG-Designer to automatically perform tasks from idea generation, CAD model creation, analysis condition setting, design optimization and result evaluation.
The Motor Design AI Agent is not a tool that derives a single solution, but rather an agent that helps design engineers be more creative. This technology enables faster and longer-term verification than humans and increases the possibility of discovering innovative shapes. In addition, the complete automation of the design process is expected to significantly reduce design development time.
Registration
We provide simultaneous interpretation between Japanese and English.
We look forward to your participation.


















