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Electromagnetic Multiphysics

Electromagnetic Multiphysics Artificial Intelligence Analysis FEA|CFD & AI Integration

The objective of Electromagnetic Multiphysics is to provide engineers and designers with the ability to accurately model and simulate electromagnetic phenomena in various industrial applications, including automotive, aerospace, energy, and medical devices. Electromagnetic Multiphysics has numerous applications, including the design and optimization of electric motors, transformers, generators, antennas, microwave circuits, power electronics, and other electromechanical devices.

Our Finite Element Electromagnetic Field simulation solution which uses the highly accurate finite element solvers and methods such as Ansys Maxwell/HFSS, Simulia Opera/CST, JMAG, Cedrat FLUX, Siemens MAGNET and COMSOL to solve static, frequency-domain, and time-varying electromagnetic and electric fields includes a wide range of solution types for a complete design flow for your electromagnetic and electromechanical devices in different industries.

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Electromagnetic Multiphysics, Integrated FEA|CFD with Artificial Intelligence

Electric Motors Cooling

Electric motor cooling is an essential aspect of designing high-performance electric motors that operate efficiently and reliably. Excessive heat generated during the operation of an electric motor can cause various problems, including insulation failure, increased energy consumption, and reduced performance.

Multiphysics simulation tools such as FEA (Finite Element Analysis) and CFD (Computational Fluid Dynamics) can be used to design and optimize electric motor cooling systems. These tools enable designers to simulate the flow of air or liquid through the motor, and calculate the heat transfer and temperature distribution within the motor components.

By using FEA and CFD, our designers can optimize the design of the motor housing, fins, heat sinks, and other components to improve heat dissipation and reduce thermal resistance. This, in turn, can improve the efficiency and reliability of the motor while reducing the risk of damage or failure due to excessive heat.

Revolutionize Fluid Dynamics with CFD Simulation.

Optimize fluid flow, heat transfer, and turbulence with advanced CFD simulation tools. Enhance engineering designs for aerospace, automotive, and energy industries. Experience precision and efficiency in fluid dynamics analysis.

Simulation Dynamics
Electric Motors Cooling, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
Advanced Engineering Solutions

Electrical Motor Design

Electrical motor design is a complex process that requires a deep understanding of electromagnetic theory, materials science, and mechanical engineering. Multiphysics simulation technologies such as FEA, CFD, and electromagnetic simulation software can greatly aid in the design and analysis of electric motors.

These simulation tools can be used to evaluate the basic characteristics of electric motors such as induced voltage, torque, and inductance, as well as more complex phenomena such as thermal demagnetization and vibration. By using these tools, our engineers can optimize the motor design for performance, efficiency, and reliability.

Induced voltage, load torque, cogging torque, inductance, flux linkage, iron losses, coil losses, magnet loss, permeance, parameter sensitivity, and equivalent circuit model extraction are all key parameters that can be analyzed and optimized using multiphysics simulation technologies. These parameters are crucial for designing motors that meet specific performance requirements and operate efficiently over a wide range of operating conditions.

In addition to basic motor characteristics, multiphysics simulation technologies can also be used to analyze the effects of various design parameters such as rotor/stator geometry, magnet placement, and winding configuration on motor performance. By analyzing these parameters, our designers can optimize the motor design to meet specific performance requirements, such as high torque, high efficiency, or low noise.

Engineering Reliability, One Simulation at a Time.

Finite Element Anlaysis(FEA) and Computational Fluid Dynamics(CFD) ensures your designs are built to last. From automotive to aerospace, analyze structural integrity with precision. Trust in reliable solutions. Whether predicting pressure drop, thermal shock, stress, strain, or deformation, FEA & CFD delivers the insights you need to innovate with confidence. Build products that perform under pressure.

Simulation Dynamics
Electrical Motor Design, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
Advanced Engineering Solutions

Induction Heating

The principle behind induction heating is based on eddy currents induced in the material being heated by a varying magnetic field. This technology has a wide range of applications, from industrial heating and welding to home appliances such as induction cooktops.

Designing an efficient and effective induction heating system requires a deep understanding of the factors that influence the behavior of eddy currents. These factors include the geometry of the material being heated, the material's electrical and magnetic properties, the frequency and amplitude of the magnetic field, and the temperature of the material.

To accurately control the eddy current in an induction heating system, our designers use FEA simulation and electromagnetic simulation software to analyze and optimize the system design. By simulating the behavior of the electromagnetic field and eddy currents in the material, our engineers can optimize the coil geometry, material selection, and operating frequency to achieve the desired heating profile and efficiency.

In addition to industrial heating and welding applications, induction heating technology is increasingly being used in home appliances such as induction cooktops. Induction cooktops use a magnetic field to heat the cooking vessel directly, resulting in faster heating times, greater energy efficiency, and precise temperature control.

Artificial Intelligence & Machine Learning Powers the Future of Simulation.

Transform your simulations with AI-driven insights. Automate workflows, reduce time-to-market, and unlock new possibilities. Embrace the future of engineering. From CFD to FEA, AI enhances every aspect of simulation, delivering faster, more accurate results. Experience the next generation of intelligent engineering solutions.

Simulation Dynamics
Induction Heating, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
Advanced Engineering Solutions

NVH for Electric Motors

NVH (noise, vibration, and harshness) analysis is a critical aspect of electric motor design, particularly in applications where quiet operation is an essential design parameter. FEA-based simulation design for electromagnetic multiphysics environments provides significant benefits for NVH analysis of electrical machines and transformers.

FEA and multiphysics simulation tools can be used to analyze the vibration and noise levels produced by electric motors and transformers under various operating conditions. This analysis can help our designers identify the sources of vibration and noise, and optimize the motor or transformer design to reduce these levels.

In addition to traditional vibration and noise analysis, FEA and multiphysics simulation tools can also be used to analyze more complex phenomena such as electromagnetic-induced vibrations and acoustic noise. By simulating the electromagnetic fields and their interaction with the motor structure, designers can identify potential sources of vibration and noise and optimize the design to reduce these effects.

NVH analysis is particularly important for manufacturers of motors used in hybrid and electric vehicles, where noise and vibration levels can have a significant impact on the overall driving experience. In addition, NVH analysis is also critical for appliances and commercial transformers, where quiet operation is essential.

AI Transforms Multiphysics Simulation.

Harness Artificial Intelligence & Machine Learning to solve complex multiphysics problems faster and more accurately. Optimize performance across fluid-structure interaction, thermal-electrical coupling, and more. Drive innovation with intelligent simulation.

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NVH for Electric Motors, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
Advanced Engineering Solutions

Power Transformers

One of the main design challenges for power transformers is ensuring that the transformer meets the required performance specifications, including basic characteristics such as voltage regulation and efficiency. However, designers must also consider issues such as magnetic flux leakage, which can lead to localized stray loss in the transformer tank. This can result in increased heating and reduced efficiency, as well as potential safety hazards.

Another important consideration for power transformer design is the dielectric strength of the coil. The dielectric strength is a measure of the maximum electric field that the insulation surrounding the coil can withstand without breaking down. Designers must carefully evaluate the electric field distribution within the transformer to ensure that the coil can withstand the required voltages without failing.

The arrangement of the core and coil within the transformer also has an impact on vibration and noise levels. Unbalanced magnetic forces can cause the transformer to vibrate, which can lead to increased noise levels and potentially reduce the lifespan of the transformer.

To address these challenges, our engineers use a combination of analytical methods and simulation tools such as FEA and electromagnetic simulation software to analyze and optimize power transformer designs. These tools allow our designers to evaluate the magnetic and electric field distributions within the transformer, identify potential sources of stray loss and vibration, and optimize the transformer design to meet performance specifications and reduce maintenance requirements.

Generative Design + CFD: Topology-Optimized Fluid Dynamics

Combine genetic algorithms with RANS/LES simulations to auto-generate weight-optimized turbomachinery blades, heat sinks, and microfluidic devices.

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Power Transformers, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
Advanced Engineering Solutions