Exhibitors

RecurDyn can implement high-fidelity NVH analysis for electrified driving systems composed of complex components such as motors, gears, bearings, shafts, and external cases, by coupling with cutting-edge electromagnetic simulation technology from JMAG. JMAG/JMAG-RT can provide RecurDyn with precise information about excitation changes caused by motor torque ripple through RecurDyn/CoLink or Matlab/Simulink.
This strong coupling enables RecurDyn to perform various types of driving system analyses for motor-driven products, ranging from small electric appliances to large machinery such as ground vehicles, airplanes, and ships. Moreover, RecurDyn's broad extensibility, including capabilities for structural analysis, fluid analysis, heat transfer analysis, controls, and optimization, enables interdisciplinary system analysis.

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.

Our non-grain oriented ultra-thin electrical steel, the 'ST Series,' achieves significant thinning with thicknesses ranging from 0.050 to 0.150 mm, a substantial reduction compared to conventional electrical steels (e.g., 0.35 mm thick).
This significantly suppresses eddy current losses generated within motors, demonstrating excellent low-loss characteristics in the high-frequency range of 400 Hz to 20,000 Hz. As a result, it greatly contributes to higher efficiency, miniaturization, and lighter weight of our customers' motors.
These superior characteristics are utilized in a wide range of fields, including drones, precision equipment, medical devices, aerospace equipment, and power tools.

Denshijiki Industry presents the magnetization characteristics evaluation device BH-1000. The BH-1000 is ideal for obtaining hysteresis loops of various magnetic materials for magnetic field analysis. Magnetic fields can be set with the DC-biased magnetization properties option, enabling minor loop measurements and evaluation of simulated material properties under real-world conditions. We hope this will help in achieving more accurate magnetic field analysis. In addition, we are exhibiting magnetization yokes for motors. We design and manufacture magnetization equipment optimized for various motors for prototype and mass production.

Our exhibition booth introduces MOTOR-HILS DT-1063 and DT-1600 .
The DT-1063 is a real-time MOTOR-HILS simulator compatible with JMAG-RT motor models. The current output and angle output can both realize a high 2μSec response speed. This MOTOR-HILS solution not only offers 32-bit IEEE floating-point computational accuracy but can even simulate inverter failure at a reasonable cost.
The DT-1600 (a higher-end model than the DT-1063) also supports custom motor models for the development of open-end winding, dual three-phase, wound field synchronous and other motors.

Accelerate your large-scale JMAG simulations with the latest-generation high-performance CPUs.
"Jobs stuck in the queue." "In-house machines too underpowered — large models take all day." This booth shows how AWS cloud computing solves these everyday electromagnetic-simulation pain points. Discover the benefits of running JMAG on AWS: faster and more flexible. Our latest HPC-dedicated CPUs deliver roughly 30% faster CAE performance than the previous generation, running large, highly parallel simulations in a fraction of the time — spinning up massive compute only when you need it. With pay-as-you-go pricing, there's no need to own and maintain expensive hardware. Plus, connect remotely to a high-performance design-and-simulation environment from anywhere. New to the cloud? We'd love to talk you through it.