JMAG-Designer v23 cracked release

Solver

Solver speed is directly related to model accuracy and reliability. Finite element analysis comes down to solving very large matrices. JSOL has developed advanced techniques to solve thesematrices faster and produce more consistent results.
JMAG users have some of the most advanced solver algorithms at their fingertips, and can be certain that JSOL will continue to adopt the latest calculation architecture within JMAG.

Solver speed is directly related to model accuracy and reliability. Finite element analysis comes down to solving very large matrices. JSOL has developed advanced techniques to solve these matrices faster and produce more consistent results.
JMAG users have some of the most advanced solver algorithms at their fingertips, and can be certain that JSOL will continue to adopt the latest calculation architecture within JMAG.

Parallel Computing

High speed processing and scalability are the two main goals of parallel processing.
JMAG supports both shared and distributed memory processing and can incorporate the graphics processing unit (GPU) into calculations.
From the desktop to clusters and cloud computing, JMAG’s parallelization technologies can be used in a wide range of environments. Utilizing these architectures means that analyses with over 10 million elements as well as models with hundreds of thousands of elements can be incorporated into a design cycle.

Convergence Acceleration

JMAG uses highly-effective iterative calculation methods for the linear and non-linear solver.
Cutting-edge acceleration technologies are continuously incorporated to obtain excellent convergence in all applications.

Mesher

It goes without saying that a high quality mesh is critical for a high precision analysis. JMAG gives users several options to create mesh: from automatic to manual mesh, users can choose the method that works best for them. The mesher within JMAG is both advanced and easy to use, which means that JMAG can generate optimal mesh for every type of analysis. We strive to
develop automatic mesh generation technology by leveraging more than 30 years of FEA expertise and utilizing JMAG’s unique geometry recognition technology.

Material

JSOL has developed partnerships with material manufacturers to obtain the best possible data for JMAG’ s material database. Along with including stress dep e ndent magne tic prop er ties and iron l oss properties of electromagnetic steel sheets, we also continue work with our partners to provide data needed in advanced analyses.

Providing highly a reliable analysis requires faithfully implementing realistic physical mechanisms into simulation models as best as possible. We continue to develop modeling technology for JMAG to provide the best models at each stage, from micro behavior inside materials, to multi-physics phenomenon and control systems.

Material Database

JSOL has developed partnerships with material manufacturers to obtain the best possible data for JMAG’ s material database. Along with including stress dep e ndent magne tic prop er ties and iron l oss properties of electromagnetic steel sheets, we also continue work with our partners to provide data needed in advanced analyses.

Material Modeling

JMAG leads the field in material modeling technology.
Fast, detailed modeling methods are developed based on our understanding of characteristics for magnetic steel sheets, magnets, and powdered metals. Many companies use JMAG to help develop new materials, which ensures JMAG is always capable of capturing precise material responses.

Creation of Hysteresis Curves Interpolated at Arbitrary Intervals

Improved the resolution of minor loops that can be taken into account in the play model.
Since the measured hysteresis curve can be interpolated and used for calculation, minor loops with smaller amplitude can be captured in magnetic field analysis.

Angular dependent Magnetization Characteristics

Improved analysis accuracy of magnetic anisotropy.
By using a material whose magnetization characteristics are input for each angle from the direction of easy magnetization, analysis that takes into account the magnetic anisotropy of the magnetic steel sheet can be performed.

Modeling

JMAG leads the field in material modeling technology.
Fast, detailed modeling methods are developed based on our understanding of characteristics for magnetic steel sheets, magnets, and powdered metals. Many companies use JMAG to help develop new materials, which ensures JMAG is always capable of capturing precise material responses.

JMAG leads the field in material modeling technology.
Fast, detailed modeling methods are developed based on our understanding of characteristics for magnetic steel sheets, magnets, and powdered metals. Many companies use JMAG to help develop new materials, which ensures JMAG is always capable of capturing precise material responses.

2D/3D modeler that easily creates geometry

There is a dedicated shape modeler made for JMAG analysis model creation. 2D and 3D shape modeling can easily be performed with a CAD-like feeling.

Templates for various applications

There are plenty of templates for motors, transformers, and coil ends. With only parameters, geometries can be created that closely model real machines, allowing phenomena to be captured more accurately.

• Motor Template Tool (JMAG-Express)
• Transformer Template Tool
• Coil Template Tool

Flexible CAD interface

As well as importing CAD models, geometries can be altered in CAD systems while condition settings in JMAG are preserved. After altering a geometry, analysis can be executed immediately after skipping condition resetting. The efficiency in performing analysis using CAD is rapidly improved.

Multiphysics

As computational power has increased, companies have started incorporating multiphysics models into their analyses. JMAG began offering this functionality to its users in 1994, when magnetic field/thermal coupled analysis functionality was implemented for induction heating device design. Since then, a considerable amount of development has taken place in the area of multiphysics.
With such a large variety of analysis domains and the complexity of modeling within each domain, JSOL has formed partnerships with CAE vendors in each analysis field with the goal of providing an easy to use platform from which to embark on multiphysics modeling.

As computational power has increased, companies have started incorporating multiphysics models into their analyses. JMAG began offering this functionality to its users in 1994, when magnetic field/thermal coupled analysis functionality was implemented for induction heating device design. Since then, a considerable amount of development has taken place in the area of multiphysics.
With such a large variety of analysis domains and the complexity of modeling within each domain, JSOL has formed partnerships with CAE vendors in each analysis field with the goal of providing an easy to use platform from which to embark on multiphysics modeling.

Structural Analysis

Not only problems due to electromagnetic force but also vibrational phenomena due to magnetostriction can be confirmed and stress evaluation from centrifugal force can be performed.
Multiple disciplines are closely integrated in JMAG and can easily incorporate multiphysics analysis in your daily analysis work.

Thermal Analysis

JMAG’s thermal analysis capability allows the coupling of the magnetic field analysis with a thermal analysis with eddy currents, iron loss and joule losses of coil as heat sources. The magnetic field analysis can also include the temperature-varying properties of magnetic materials and conductors for a strong coupling.

Parametric

JMAG provides a variety of features to powerfully support optimized design. Large numbers of design proposals can be evaluated efficiently using JMAG’s parametric analysis and optimization functions. In addition, results analysis and sensitivity analysis functions offer points where design can be improved.

JMAG offers a number of functions to provide strong support for design optimization.
The use of JMAG parametric analysis functions allows for the effective evaluation of a large number of design proposals

Parametric

• The use of JMAG parametric analysis functions allows for the effective evaluation of a large number of design proposals
  • When changing design variables, users can confirm the effect this has on evaluation values, and evaluate characteristics
  • Select the design variables, and register the design proposals to calculate – run calculations in a total of just two steps
  • Create response graphs and evaluating results
  • Automate workflow in batches with script functions
  • Reuse analysis conditions with analysis templates
  • Can be created in a short time by creating an input file for parametric analysis from the command line

Example 1:Parametric analysis using geometric dimensions as design variables

Choke coil inductance evaluation

Example 2:Characteristics evaluation

IPM motor torque properties

Parametric analysis procedure

Optimization

JMAG offers a number of functions to provide strong support for design optimization. JMAG optimization calculation functions are characterized by the integration of both analysis and optimization. This means that factor analysis and optimization can be carried out with ease, allowing for the effective evaluation of a large number of design proposals.

JMAG offers a number of functions to provide strong support for design optimization. JMAG optimization calculation functions are characterized by the integration of both analysis and optimization. This means that factor analysis and optimization can be carried out with ease, allowing for the effective evaluation of a large number of design proposals. Result analysis and sensitivity analysis functions suggest points of improvement for designs. Embedded third-party optimization engines such as HEEDS, Optimus, modeFRONTIER and optiSLang, as well as user-defined optimization engines, are additionally available.

|  Parameter Optimization  |  Topology Optimization  |

Parameter Optimization

• Realize optimization calculations with JMAG-Designer without any reductions in usability
  • Optimization calculations can be performed simply by broadening settings in parametric analyses
  • Configuring settings is made easy by selecting just design variables and objective functions, constraint conditions, and the optimization engine
  • Setup to results verification in just three simple steps
  • The cases and values of optimum solutions can be confirmed immediately from solution distribution
  • Users can then move straight onto analysis cases with ease
  • It is also possible to directly confirm response surfaces, Pareto curves, and the correlation graphs of objective functions for design variables

Displaying results with response surfaces

• Optimization algorithms can be selected to match the features and environment of the design optimization
  • The quadratic response surface method, genetic algorithms, multi-objective genetic algorithms, and MATLAB global optimization can be selected
  • Users can choose algorithms appropriate to optimizations that match the single-objective or multi-objective characteristics of the design space
  • The MATLAB Global Optimization Toolbox can be used as an optimization engine

Motor torque optimization with genetic algorithms

Range Finder in Optimization Calculation

• Search for the range in which the geometry is feasible and acquire the feasible geometry at high speed
• Acquire feasible geometries at high speed
• Pareto front for parameter optimization advanced
• Use the Geometry Evaluation Tool, Judge whether a Range Finder is necessary or not

Topology Optimization

• Design optimum magnetic circuits with unrestricted ideas free from existing designs
  • Support for magnetic field analysis and structural analysis
  • Analysis methods include the evolutionary on / off method using NGnet, and the density method

Example 1: The optimization of an IPM motor with the evolutionary on / off method

IPM motor optimization

Example 2: The optimization of a magnetic shield with the density method

Magnetic shield optimization

Model Based Development

JMAG-RT enables model based development with high concurrency, allowing plant design and control design to be performed concurrently. JMAG-RT is a system which generates high-fidelity plant models (JMAG-RT models) in a system level simulation from FEA models. From system design, to ECU verification using HILS, JMAG-RT has a wide range of uses.

JMAG-RT enables model based development with high concurrency, allowing plant design and control design to be performed concurrently. JMAG-RT is a system which generates high-fidelity plant models (JMAG-RT models) in a system level simulation from FEA models. From system design, to ECU verification using HILS, JMAG-RT has a wide range of uses.

• Using a virtual device model in HILS means that it is possible to test the ECU while the device is still
  under construction. This can reduce the amount of test time necessary on the actual test bench.
• Conceal information about geometries or materials so it can be shared between business companies.
• The JMAG-RT model captures device performance that includes non-linear effects, saturation, and space
  harmonics. This high fidelity model’s response is nearly identical to the actual device’s response.

Customization

A flexible framework is provided allowing the user to customize JMAG to his needs. Being able to use scripts and user subroutines, analysis and results analysis with the use of the user’s own algorithms can be performed. In addition, a geometry library and templates facilitate in creating desired geometries.

Guideline

Easy-to-use for the beginner, useful for the expert, this is the user interface JMAG is aiming for.

Easy-to-use for the beginner, useful for the expert, this is the user interface JMAG is aiming for.

Context sensitive Help

Simply click the help button to view detailed help on the current item.

JMAG Self Learning System : JMAG-SLS

JMAG-SLS is a practical video tutorial that shows you how to use JMAG, provides analysis tips, covers common mistakes and how to recover from errors. A large range of applications are covered by the system, including motors and transformers.

Intuitive GUI

With setting conditions by dragging and dropping and selecting from a menu by right-clicking, even beginners experience ease in operation. With many error messages provided, recovery from mistakes is possible.