Introducing JMAG-Designer Ver.24.2

10 September 2025

JMAG-Designer Ver.24.2 was released in September 2025.

JMAG is continuously developed to automate the design process. To this end, Ver.24.2 further enhances its features. In particular, the optimization calculation using surrogate models and the motor temperature evaluation functions have been significantly updated.

This document introduces selected functional enhancements and new features in Ver.24.2.

JMAG now provides an offline optimization feature. Offline optimization rapidly searches for Pareto optimal solutions by using a pre-generated surrogate model instead of FEA. You can generate the surrogate model from “JMAG-Design Explorer”, a database feature that stores numerous design cases. Additionally, the FEA-based discrete value optimization feature now supports material optimization. For example, this enables you to perform a Pareto optimization for the trade-off between performance and cost.

For motor operating conditions, you can now plot N-T curves and efficiency maps that account for temperature rise during short-time rating condition in addition to continuous rating condition. JMAG has enhanced the thermal circuit feature to perform these evaluations with high precision and to allow you to create models easily. Previously, you had to input the coolant flow rate in the cooling channels as a known value. In V24.2, JMAG introduces “flow analysis”, which allows you to derive the flow rate. This flow rate is referenced by cooling components such as ventilation and cooling Jacket components.

JMAG has enhanced the design features for axial flux motors. You can now register user custom geometries in JMAG-Express. JMAG-Express now supports the double-rotor, single-stator type. Additionally, adding cogging torque, torque ripple, induced voltage, and demagnetization to the magnetic design scenarios enables you to perform detailed designs.

You can now set up and perform calculations for superconductors from the GUI. JMAG also now supports magnetic field-thermal direct coupling. This allows you to solve complex phenomena such as a temperature increase lowering the critical current density, leading to local normal conduction that causes a further temperature increase.

Please take advantage of the new JMAG.

What is JMAG-Designer Ver.24.2 ?

1. Offline optimization with surrogate model

Leverage generated surrogate models to find the best design in a short time

Offline optimization with surrogate modelOffline optimization with surrogate model

FEA calculations are not performed, allowing for high-speed exploration. You can generate a surrogate model using the results accumulated in “JMAG-Design Explorer” as training data. The more you repeat the optimization while changing the conditions, the more advantageous the calculation speed becomes. You can quickly explore feasible solutions while changing the voltage constraint of the axial flux motor from 100(V) to 120(V).

JMAG Design ExplorerUsers need to request a license to use the JMAG Design Explorer.

The application form to request a license is found here.  ( User authentication)

2. Optimize materials as design variables

You can set the material to be used as a design variable for discrete optimization.

Optimization using the core material and shape dimensions as design variablesOptimization using the core material and shape dimensions as design variables

JMAG can evaluate the trade-off between iron loss and material cost for all nine combinations—arising from three rotor-core materials and three stator-core materials—in a single optimization run. Using low iron-loss materials (amorphous, nanocrystal) for the stator core resulted in a design with a smaller stator core size.

3. N-T curve and efficiency map calculation considering temperature constraints for short-time operation

Calculate N-T curve and efficiency map considering short-time operating conditions

N-T and efficiency map calculation considering short-time ratingsN-T and efficiency map calculation considering short-time ratings

The performance that a motor can output is limited by the temperature of the coil and magnet. Considering the allowable temperature of coils and magnets, the rating conditions are calculated for a short time (Ex, 5 minutes). We compare the case with no constraints (left) and the temperature of the coil at 140 (deg C) and the temperature of the magnet at 180 (deg C) (right). The drivable area is slightly narrower, and the efficiency is reduced.

4. Flow analysis

The flow circuit determines the refrigerant flow rate that was previously entered as a known amount

Flow analysis during forced cooling (air)Flow analysis during forced cooling (air)

The air flowing from the inlet by the fan is diverted into the ducts and gaps of the stator/rotor. As a result of the analysis, the flow rate of each route can be calculated. You can determine the operating point where the flow rate and required pressure are balanced by entering the fan’s PQ characteristics.

5. Enhancement of thermal circuit analysis (Ventilation cooling)

Modeling forced cooling by air through ducts, etc

Temperature Analysis of induction motor with Ventilation CoolingTemperature Analysis of induction motor with Ventilation Cooling

Refer to the flow rate obtained by flow analysis on the ventilation side. Combined with the PQ characteristics of the fan, it is possible to analyze the cooling according to the driving state. This example shows the temperature difference of an induction motor with two different types of fans with varying PQ characteristics.

6. Shape registration of axial flux motors

Supports Setting Guide for registering custom shapes

Registering user's custom shapesRegistering user’s custom shapes

Users can register the shape of the axial flux motor created by themselves in JMAG-Express to evaluate the performance of the axial flux motor. Double rotor and single stator type also available.

7. Deployment of axial flux motor design

Supports cogging torque, torque ripple, induced voltage, demagnetization scenarios to expand evaluable design items.

Cogging torque(center), efficiency map(right) of a double rotor, single stator type axial flux motorCogging torque(center), efficiency map(right) of a double rotor, single stator type axial flux motor

Set an appropriate mesh according to the analysis purpose (scenario). This expands the application for axial flux motor design.

8. Magnetic field – thermal coupling analysis of superconductors.

JMAG officially supports the setting of superconductors by GUI and supports temperature dependence of critical current density and direct coupling of magnetic fields and thermal analysis.

Magnetic field - thermal coupled analysis of superconductorsMagnetic field – thermal coupled analysis of superconductors

This shows an example of a magnetic field-thermal direct coupled analysis of a pancake-shaped superconductor coil with 30 turns. If you prepare the shape data for a single-turn bulk coil, JMAG automatically generates a layered structure consisting of multi-turn superconductors, conductors, and insulators. This example shows that a rapid temperature rise begins, triggered by a local normal transition on the inner circumference where the magnetic flux density is high.

The new functions and Features

For details, please see the following function introduction. (PDF, 1.68 MB:  User authentication)

Introducing New Functions of JMAG-Designer Ver. 24.2 

Documents

These are created using the functions in JMAG-Designer Ver.24.2 and later. Please feel free to use them.

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Update to LM-X license server 5.5.11 or later when using JMAG-Designer Version 24.0 or later.
Click here for more information on LM-X License Server Installer and License Update Manual ( User authentication)

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Introducing JMAG-Designer Ver.17.0 – Ver.24.2

Articles about JMAG-Designer that have been released previously are available.