Vehicle development teams need to understand complex fluid behavior earlier, faster, and with greater confidence. Whether the challenge is water wading, vehicle soiling, gearbox lubrication, e-drive cooling, snow applications, or multiphase flows, physical testing alone is often too late, too expensive, and too limited for today’s development timelines. PreonLab helps engineers replace late-stage testing with earlier virtual insight. Its particle-based CFD approach makes it possible to simulate dynamic free-surface flows, moving geometries, splashing, wetting, and fluid interaction without the traditional meshing effort of classic CFD.
The result is a faster and more practical way to evaluate design variants, reduce prototype dependency, and make better engineering decisions — using either existing on-site hardware or cloud-based simulation resources.
Industry-Proven
More than 130 customers worldwide rely on PreonLab in automotive, aerospace, and environmental engineering. It supports demanding development processes where accurate prediction of complex fluid behavior is critical to performance, reliability, and safety.
Validated Results
PreonLab is validated against numerous industrial and academic benchmarks and supported by customer reference projects. Combined with tested workflows and real-world experience, this helps engineers make confident, simulation-based design decisions.
Easy to Use
An intuitive interface, streamlined setup, and clear result visualization make advanced particle-based CFD accessible to simulation specialists and design engineers. Its mesh-free approach, multi-hardware support, and Python-based API give users remarkable control over simulation workflows.
Computational Efficiency
PreonLab runs particle-based CFD efficiently across automotive applications, handling multi-scale problems from localized water management studies to large-scale transient simulations. CPU/GPU support and an optimized solver let engineers iterate frequently, compare design variants faster, and accelerate development decisions.
Flexible Deployment and Licensing
Deploy PreonLab on-premise on your existing hardware or through cloud environments such as AVL SimCloud. Both node-locked and floating licenses are available, and floating license pools can be shared within a single site, across a region, or across your global organization.
Vehicle Water Wading
Flooded roads and deep-water crossings create complex wading challenges — bow wave formation, underbody flow, water ingress, component exposure, and changing vehicle dynamics. Understanding these effects early is essential for designing robust, reliable vehicles. PreonLab simulates realistic water interaction using particle-based CFD, capturing free-surface flow, splashing, surface wetting, and hydrodynamic forces on the vehicle.
Gearbox Lubrication
Effective lubrication is essential for gearbox performance, efficiency, and durability. In complex transmissions, oil distribution depends on rotating gears, splashing, air entrainment, flow paths, and heat transfer — making it hard to confirm that lubricant reliably reaches critical components under real operating conditions.
PreonLab simulates gearbox lubrication using particle-based CFD, capturing oil transport, splash behavior, and surface wetting, with support for both single-phase and multiphase flows.
Vehicle Soiling
Rain, snow, mud, and road spray create complex soiling challenges — contaminant transport, surface wetting, sensor obstruction, visibility loss, and reduced reliability. As vehicles rely more on cameras, radar, lidar, and other exterior sensors, understanding how contaminants move across vehicle surfaces is essential for robust ADAS and autonomous driving systems. PreonLab simulates vehicle soiling using particle-based CFD, capturing liquid transport, spray behavior, deposition, accumulation, and surface interaction under realistic driving conditions.
E-Motor Cooling
Optimal operating temperatures are critical for the performance and durability of modern electric motors. In oil-cooled designs, cooling effectiveness depends on how well lubricant reaches thermally critical areas under real operating conditions. PreonLab combines fluid flow and thermal analysis to visualize oil distribution, evaluate oil jet cooling strategies, and identify insufficiently cooled regions. Technologies such as Continuous Particle Size (CPS) make simulation of complex cooling processes efficient, helping engineers refine designs and improve thermal performance before physical prototypes exist.
White Goods
Strong cleaning performance with less water and energy is a central challenge in modern appliance development. In dishwashers and washing machines, results depend on how effectively water is transported, distributed, sprayed, and redirected across complex geometries, components, and load configurations.
PreonLab simulates appliance water management using particle-based CFD, capturing spray behavior, flow distribution, surface wetting, water coverage, and fluid interaction with moving or complex parts.
E-Coating
Consistent coating quality with lower material losses is a key challenge in modern e-coating. During dipping, withdrawal, and draining, liquid retention, film formation, and carry-over depend strongly on component geometry, orientation, bath interaction, and process motion. PreonLab simulates e-coating and drainage using particle-based CFD, capturing free-surface flow, surface wetting, liquid retention, dripping, and drag-out across complex geometries.
Tank Sloshing
Liquid movement inside partially filled tanks strongly influences vehicle dynamics, component loads, and driving behavior. During acceleration, braking, cornering, or operation on uneven terrain, fuel, oil, and other liquids generate complex sloshing patterns, dynamic forces, and pressure loads that simplified methods struggle to assess. PreonLab simulates tank sloshing using particle-based CFD, capturing free-surface motion, wave formation, fluid impact, liquid redistribution, and the resulting forces on tank structures and the vehicle.
ATZextra – Mesh Free CFD Technology Revolutionizes Water Wading Analysis
Smoothed Particle Hydrodynamics (SPH) simulation is a promising mesh-free CFD technology that has revolutionized water wading analysis in recent years. AVL and Magna present a validation study that demonstrates predictive capability and efficiency of SPH-based virtualization. Leveraging virtual passenger car testing, development time and reliance on physical prototypes can be significantly reduced.
AVL Customer Case Study - Simulation-based Development of Functional Oil Distribution in Electric Axle Systems
Electric axle systems play an important role in vehicle electrification. Due to their compact design, they can be used in all vehicle segments with hybridized or all-electric powertrains.
AVL Customer Case Study - Water Wading Simulation
“Water wading” is a standard test in vehicle development. Water must not enter critical areas endangering e.g., battery packs, electric components or the air intake. Forces caused by the water should not damage the car body or float the vehicle.
AVL White Paper – SPH-Based Virtual Testing for Streamlined Vehicle Water Management
Efficient and safe water management is an important aspect of the modern vehicle development process, influencing not only durability and performance but also passenger safety and overall vehicle efficiency.