月曜日 09:00 - 12:00 13:00 - 17:00 火曜日 09:00 - 12:00 13:00 - 17:00 水曜日 09:00 - 12:00 13:00 - 17:00 木曜日 09:00 - 12:00 13:00 - 17:00 金曜日 09:00 - 12:00 13:00 - 17:00

JMAG-Int.

Name: JMAG-Int.
Address: KUDAN-KAIKAN Terrace 11th Floor, 1-6-5, Chiyoda-ku, Tokyo, 102-0074, JP
Telephone: +81362617361

JMAG is a comprehensive software suite for electromechanical equipment design and development.

JMAG is a simulation software for electromechanical design and development. Many companies and universities have supported and used JMAG since 1983. JMAG can accurately capture and quickly evaluate complex physical phenomena inside of machines. Users inexperience and experienced in simulation analysis can easily perform the simple operations required to obtain precise results.

02/09/2026

[Application Catalog] Superconducting rotating machines can generate powerful magnetic fields using a small and light structure while having almost no excitation losses. These types of machines have been highlighted as the core technology for the next-generation power devices expected to operate with extremely high efficiency. However, significantly low temperatures (several K) are essential when using low-temperature superconductors. Designs must incorporate cooling systems optimized for these temperatures. That is why precise loss evaluations are critical during the design stage.
This case study describes a quantitative loss evaluation for the field winding of a low-temperature superconducting generator that uses a superconducting analysis model.

[JAC322] Loss Analysis of a Superconducting Generator
https://www.jmag-international.com/catalog/322_scgenerator-current/

31/08/2026

Webinar: "Brush up on Motor Design!" has been released.
[Vol.76] Electric Machines
The 76th seminar marks the start of a new series focused on electric machines. Themed "Just Looking," this seminar reviews electric machines such as generators and motors from the outside and their internal structure while providing an overview of the fundamental elements common to these machines. It also takes a look at the function of each component and how it is manufactured and assembled to examine how all these elements affect cost and performance.
The seminar offers essential information for engineers seeking to grasp the overall picture of electric machines and understand their designs and structures.

https://www.jmag-international.com/seminar/prof_miller_seminar/

27/08/2026

[White Papers] JMAG has an automatic mesh-generating feature that automatically generates a mesh. We continue to carry out the Research and Development and improvements on an automatic mesh-generating feature to meet the needs of our customers. We are continually working to improve the durability of an automatic mesh-generating feature mentioned above as a key issue. Therefore, the durability of JMAG’s automatic mesh-generating feature is assessed in this white paper.

[W-SE-98] Improved Durability for Automatic Mesh Generation
https://www.jmag-international.com/whitepapers/w-se-98/

24/08/2026

[Leaflet] This case study uses optimization calculations for the design of an outer rotor type SPM motor for drones. We seek new designs that maintain average torque while minimizing magnet volume, torque ripple rate, and losses. To explore and obtain optimal solutions for 9 design variables in CAD parameters, calculations were conducted for 4,896 cases. As a result, optimal designs have been obtained that significantly reduce torque ripple rates and losses. By running 32 cases simultaneously, we were able to obtain the optimal design proposal within a realistic calculation time, such as one night.

https://www.jmag-international.com/leaflet/l-op-229/

21/08/2026

Column: Motor Design using SMC Materials
Investigation of SMC Somaloy 700 7P for High-Performance Axial Flux Motor Applications
Contributed by Alvier Mechatronics AB

The relentless push for higher power density and efficiency in electric vehicle traction has driven the rapid adoption of axial flux permanent magnet motors. Soft Magnetic Composites (SMCs) are uniquely suited for these topologies due to their isotropic magnetic properties and ability to realize complex three-dimensional flux paths. This paper presents an investigation into the new-generation SMC material: Somaloy 700 7P. A comprehensive finite element analysis is conducted on a 150 kW dual-rotor, single-stator axial flux motor to benchmark the new 7P material against its predecessors, Somaloy 700HR 3P and Somaloy 700HR 5P. While low-speed torque characteristics remain identical due to equivalent magnetic saturation limits, the advanced coating and annealing process of the 7P grade drastically reduces high-frequency eddy current losses. The results demonstrate that the motor equipped with the 7P material achieves superior high-speed efficiency, and an elevated active power density, cementing its role as a key enabler for next-generation high-performance e-mobility applications.

Contents:
Abstract
Index Terms
Ⅰ. INTRODUCTION
Ⅱ. SMC MATERIAL BACKGROUND
　A. Material Evolution
　B. Material Comparison
Ⅲ. MOTOR DESIGN AND MODELING SETUP
　A. Motor Topology
　B. FEA Methodology and Control Strategy
Ⅳ. ELECTROMAGNETIC PERFORMANCE COMPARISON
　A. Back EMF (No Load)
　B. Efficiency Map
　C. Summary
Ⅴ. CONCLUSION
REFERENCES

Learn more here:https://www.jmag-international.com/motordesign-material/hoganas_003/

20/08/2026

[JMAG Users Conference Proceedings] Innovation speed is critical to gaining a competitive edge in the rapidly developing EV space. However, many eMotor innovations require detailed loss assessments considering challenging physics like PWM harmonics and advanced winding geometry. During this discussion, we will explore the keys for an eMotor designer to efficiently use high fidelity 3D models to compute critical loss metrics in minimal computational time. This enables rapid iteration through new technology and detailed innovative design ideas without requiring physical prototype iteration, thereby greatly speeding up the innovation loop.

You can read the full paper here:https://www.jmag-international.com/conference_doc/uc2025_19/

17/08/2026

[Application Catalog] Solenoid injectors used in engines open a valve by injecting fuel as a plunger moves from the magnetic force of an electromagnet. For injectors in engines, high responsiveness to applied voltages is required for suppressing flow rate fluctuations and improving fuel economy.
MATLAB/Simulink and JMAG can be linked directly when performing injector circuit control simulations. Taking into account eddy current effects as well, this allows injector characteristics to be reflected in more detail and allows evaluation of control systems that accurately model actual control systems.
In this example, an example of evaluating the difference in responsiveness of an injector when eddy currents are taken into account or not is presented.

https://www.jmag-international.com/catalog/245_injector_direct/

12/08/2026

[White Papers] Genetic Algorithm (GA) based optimization with finite element analysis is expected to become a solution for high performance motor designs which need to satisfy many strict requirements. However, as its use goes towards complex design which has many geometric design parameters, the technique becomes difficult to use. The problem comes from the fact that the geometric design parameters move independently in given ranges so there is always a possibility of them conflicting with each other and resulting in geometry corruptions as illustrated in Fig. 1. The possibility goes up rapidly as the number of geometric design parameters increases as the survey of the success rate of multiple models demonstrates in Fig. 2. The geometry conflicts then prevent generating an appropriate population at the initial stage of the GA optimization. To overcome this, a technique which consists of the optimization of parameter ranges and a predicted model using machine learning was developed. The proposed technique was applied to an optimization problem of a PMSM with over 30 geometric design parameters confirming that the initial population was appropriately generated and the optimization can be performed successfully.

[W-OP-165] Solving Geometry Conflicts in GA Optimizations with Large Numbers of Geometric Parameters
https://www.jmag-international.com/whitepapers/w-op-165/

06/08/2026

JMAG-SBO capitalizes on surrogate models generated by JMAG to run high-speed multi-objective/multi-constraint optimizations.
Surrogate models created using magnetic field, thermal, structural, and electric field analyses enable multi-disciplinary optimizations.
Because it allows you to compare optimal solutions while changing design conditions and constraints, it is useful for exploring ideas and understanding design trade-offs in the early stages of development.

Features
- Simply specify requirements and constraints to run optimizations
- Review results obtained by the surrogate models in seconds
- Modify requirements, run optimizations, and review results side-by-side
- Compare results from multiple surrogate models
- Visualize multi-objective optimization results in a variety of ways

We have prepared sample models to help you get started immediately.
For more details, including how to acquire a license, please refer to our website.

https://www.jmag-international.com/products/surrogate-optimization/

03/08/2026

Column: [No. 96] Machine Design Parameters and their Ordering
How many parameters are needed to determine the dimensions of an electric machine?

Let’s define the minimal set of machine dimensions to include the outside diameter and axial length of the stator core, and nothing else. With only two dimensions, that set is clearly minimal. A smaller defining set (other than the null set) would have only one dimension, and that would have to be the weight or possibly the price. But neither of these defines the size. It appears that two is the smallest number of critical dimensions required to define the size. Even then, two dimensions are sufficient only to describe a predefined shape, in this case a right circular cylinder. Enough for a beer-can, maybe, but what about the rotor diameter, the axial length including the end-windings, the shaft diameter and length, and many other dimensions necessary to define the housing? The number of dimensions quickly proliferates as the ‘design’ evolves from a rough outline to a complete blueprint. In the end, we will be able to count hundreds, maybe thousands, of parameters or items of data in the definitive description of a complete machine.

The total dataset of a machine can be large or very large, but it is never small. It can be organized into categories and expressed as an equation (Fig.)

Read more:https://www.jmag-international.com/engineers_diary/096/

住所

KUDAN-KAIKAN Terrace 11th Floor, 1-6-5
Chiyoda-ku, Tokyo
102-0074

営業時間

月曜日	09:00 - 12:00
	13:00 - 17:00
火曜日	09:00 - 12:00
	13:00 - 17:00
水曜日	09:00 - 12:00
	13:00 - 17:00
木曜日	09:00 - 12:00
	13:00 - 17:00
金曜日	09:00 - 12:00
	13:00 - 17:00

電話番号

+81362617361

ウェブサイト

https://www.jmag-international.com/

アラート

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