Simulation support across every engineering domain.
Develop focused mechanical, electrical, electronics or electromagnetic models—or connect them through a coordinated multiphysics and co-simulation workflow.
Mechanical Simulation
Physics-based analysis for components, fluids, machines, vehicles and thermal systems.
- Structural FEA, fatigue and topology optimization
- CFD, conjugate heat transfer and rotating machinery
- Multibody, vehicle and mechanism dynamics
- Composites, vibration and fracture
- ANSYS, Fluent, Abaqus, COMSOL and Simscape
Electrical & Power Systems
System-level modelling for energy conversion, grids, machines and protection.
- Power systems, microgrids and renewable integration
- Power electronics, converters and BESS
- Motor drives, EV charging and propulsion
- Protection, faults, stability and power quality
- MATLAB, Simulink, PowerFactory, PSCAD and PLECS
Electronics & Control
Electronic systems, feedback control and intelligent decision layers for physical plants.
- Control-system modelling and controller design
- Embedded, signal-processing and sensor workflows
- AI, optimization and observer-based control
- Robotics, automation and mechatronics
- MATLAB, Simulink, Python and hardware-oriented models
Electromagnetics & RF
Field simulation for RF structures, antennas, electric machines and magnetic devices.
- Antennas, microwave and metasurface designs
- Wireless power transfer and inductive coupling
- Electric machines, actuators and magnetic circuits
- EMC, shielding and field distribution
- HFSS, CST, ANSYS Maxwell and COMSOL
Coupled Multiphysics & Co-Simulation
Integrated workflows for projects whose behaviour depends on more than one engineering stream.
- Electromechanical motors, drives and mechanisms
- Electrothermal batteries, converters and electronics
- Electromagnetic-thermal and magnetic-force coupling
- Fluid-structure and thermo-mechanical interaction
- Cross-platform synchronization and interface validation
Digital Twin, AI & Research Validation
System intelligence, reduced-order models and evidence-focused research delivery.
- Parameter estimation and model calibration
- Condition monitoring and predictive maintenance
- Reduced-order and real-time compatible models
- Optimization, sensitivity and comparative studies
- Publication-ready results and thesis documentation
Model quality is controlled at every interface.
Single-domain accuracy is necessary, but coupled projects also require correct variable exchange, timing, units, energy balance and system-level validation.
Scope domains
Define the objective, participating physics, operating cases, exchanged variables and acceptance criteria.
Build domain models
Prepare geometry, circuits, controls, fields, materials, mesh and solver inputs.
Couple & verify
Check units, signs, time-step synchronization, convergence, energy balance and interface sensitivity.
Explain system results
Translate domain outputs into system-level findings, trade-offs, limitations and research conclusions.
Share your proposal, schematic, CAD model or reference paper.
Include the engineering domains, software, inputs, expected outputs, coupling requirements and deadline for a focused technical discussion.