JMAG-Designer V24.2

JMAG-Designer is a leading finite element analysis (FEA) software from JSOL Corporation, tailored for electromechanical design. It excels in electromagnetic field simulations, multiphysics coupling (e.g., thermal, structural, and circuit interactions), and optimization for applications like electric motors, actuators, transformers, and sensors. Ver. 24.2, a minor update in the 24.x series, emphasizes automation in design workflows, particularly through surrogate model-based optimizations and enhanced motor thermal evaluations, building on the foundational advancements in Ver. 24.0.

Key New Features and Improvements

Ver. 24.2 advances JMAG’s focus on design automation by integrating faster exploration tools and refined multiphysics capabilities. Highlights include:

• Offline Optimization Using Surrogate Models: A new feature for rapid Pareto front exploration without repeated FEA runs. Surrogate models are generated from historical design data stored in JMAG-Design Explorer (a database for accumulating simulation cases). This enables high-speed iterations, especially beneficial for varying conditions like voltage constraints in axial flux motors (e.g., shifting from 100V to 120V while quickly identifying feasible solutions).
• Discrete Value Optimization with Material Selection: FEA-based optimization now supports discrete material choices, facilitating trade-off analyses such as performance vs. cost in Pareto optimizations.
• Enhanced Motor Temperature Evaluation: Significant upgrades to thermal assessment tools, allowing more accurate and efficient evaluation of component temperatures under operational loads. This integrates seamlessly with JMAG-Express for quick preliminary designs.
• General Workflow Enhancements: Improved computational efficiency for large-scale parametric studies and optimizations, reducing reliance on full FEA for iterative designs. Security features for JMAG-RT models (e.g., password management) from Ver. 24.0 are carried forward and refined.

These updates reduce design cycle times, particularly for complex 3D models, by leveraging pre-computed models and parallel processing.

Comparison to Previous Versions