Gamma Technologies is pleased to announce that the release candidate of GT-SUITE v2025 is ready for download. Whether you are fine-tuning engines, optimizing for electrification, or leveraging multi-physics simulations, this GT-SUITE release shifts your designs into high gear! Below is a video highlighting some of the exciting new features that v2025 has to offer!
Here are some selected highlights from v2025!
Machine Learning: Anomaly Detection and Data Classification Algorithms
GT-SUITE’s Machine Learning Assistant has been extended to support the creation, training, and export of anomaly or fault detection metamodels. These new types of metamodels allow specific fault characteristics to be detected (e.g. stuck valve, leaky pipe, etc.), a critical capability for digital twins. Additionally, GT-SUITE models can realistically simulate real-world faults that can be used to train these metamodels, instead of subjecting hardware to potentially damaging scenarios.
Model Management: Signal Explorer
Large, modular, system models have become increasingly more common as companies make the shift to more and more virtual testing. Signal flow in these modular models can become complex and very difficult to follow. GT’s new Signal Explorer provides a holistic view of signal and RLT usage across an entire model (including subassemblies, compounds, etc.). This includes both a “system view” of the signal flow between various files in a modular system model and also a detailed view to see specific information on each individual signal.
Batteries: Semi-automatic AutoLion model calibration and sodium-ion cell modeling
GT-AutoLion now includes a new wizard that walks users through the process of calibrating a GT-AutoLion model to experimental data, reducing the time required to calibrate these electrochemical models. GT-AutoLion also has new capabilities to model sodium-ion cells, allowing users to benchmark this new technology and how it performs in integrated systems.
Motors & Drives: New workflows integrating electric motors and inverters to solve for both NVH and system losses
GT-FEMAG and GT-PowerForge can now be set up to precisely calculate the interactions between a motor and its inverter. This includes the ability to account for the inverter’s pulse width modulation (PWM) strategy on system losses and noise, vibration, and harshness (NVH).
Vehicle Systems: New Microscopic Traffic Scenarios
Engineers can now study high-fidelity powertrain models in real-world conditions, factoring in the unpredictability of microscopic traffic and driver behavior. This enhanced approach, which utilizes GT-SUITE with SUMO (Simulation of Urban MObility), provides a more realistic assessment of vehicle performance and fuel/energy-saving potential in urban conditions.
Vehicle Dynamics: Run Fast for Controls Optimization
Experience unparalleled efficiency with our advanced 14 degrees of freedom (DOF) vehicle model. Faster than conventional 3D models, it empowers analysts to design and optimize control systems with ease. This model runs faster than real-time on the desktop enabling quick turnaround times for stability, handling and performance control algorithm development.
Thermal Fluids: Characterize complex components using GT-Auto-3DFlow
GT-Auto-3DFlow has been extended to allow the characterization of pressure drop, flow distribution, and heat transfer in complex components and plumbing, where 3D effects are important. An easy-to-use, guided wizard enables any GT user to perform accurate 3D flow simulations and the entire workflow remains in GT. This is an accurate, fast, and easy-to-use 3D flow simulation designed specifically for system simulation engineers.
Mechanics and Tribology: Flex-Flex EHD solution for Journal and Thrust Bearings
Journal bearing EHD (elastohydrodynamic) and thrust bearing EHD solutions have been enhanced to model flexibility on both sides, making it a flex-flex EHD solution. EHD solutions are critical in understanding the oil film behavior in heavily loaded bearings that operate in the mixed lubrication regime. Coupling elasticity on both surfaces of the bearing is critical in predicting the region of peak film/contact pressure and wear.
