Innovation corner

Snow creates deeply physical experiences that can remain vivid memories: Seeing snow for the first time, a snow crystal melting on your tongue, a snowball fight, the different activities summarized as winter sports. However, snow also affects human activity and can, quite literally, get in the way. Snowplows clear roads, highways, airfields and railroads. Snow drifts may destabilize structures due to uneven loading. Avalanches and blizzards are natural hazards that can endanger living beings. PreonLab solves many automotive problems. When it comes to snow, one is foremost interested to prevent soiling of critical components. The number of tasks is vast. Some that PreonLab has already solved are: Placing cameras for self-driving cars, snow entering the engine air intake which can cause a power drop or localizing corrosion hot-spots in the wheelhouse. Audi and Great Wall Motor are just some examples demonstrating the snow solver capabilities to simulate and capture phenomenas measured in real world test setups at different vehicle speeds. Out of the many sensors PreonLab provides, the addition of the height sensor has been key for the engineers to assess soiling. So how does PreonLab achieve this? Let’s take a step back and look what we are up against.

Each simulation tool/method has its strengths. Often in industrial workflows, multiple tools are combined over an interface to exploit the advantages each tool offers. PreonLab offers a wide range of possibilities to easily couple it with other tools. In this article, we talk over the several coupling interfaces that PreonLab offers, and more specifically a workflow developed for coupling PreonLab to TAITherm using a case of battery cooling simulation.

The lid-driven cavity problem is of high importance in fluid dynamics serving as a benchmark for the validation of CFD methods as well as for studying fundamental aspects of incompressible flows in confined volumes driven by the tangential motion of one or more bounding walls. In this article, capabilities of PreonLab in capturing 2-D flows inside a cavity are evaluated for different Reynolds numbers.

With the release of version 5.0, PreonLab saw several additions to it, ranging from new features to under-the-hood developments. They play an important role for wading simulations, which can be broadly classified as follows: Performance & Accuracy: Adaptive simulations with up to 3 particle levels Faster Pressure Solver Usability: Object Grouping Improvements in the Plot Dialog Improvements in the Connection Editor Connect sensor right-click action

The automotive industry is facing one of the most demanding challenges in its history: how to make automated travel safe in all conditions. With advanced and autonomous vehicles entering the market, solving problems linked to illumination and weather conditions such as rain, fog and snow is key to ensuring a safe environment for drivers, passengers and pedestrians. FIFTY2 is proud partner of the international AI-SEE Project (Artificial Intelligence enhancing vehicle vision in low visibility conditions) helping to tackle these challenges with PreonLab.

Piston Cooling Jets (PCJs) are used in traditional Internal Combustion (IC) engines to remove the excess heat from the piston, allowing for higher thermal loads to be reached. PreonLab 5.0 allows for investigations of the dynamic and thermal interactions between the lubricating oil jet and the moving piston.

For coarsely-resolved simulations, especially those for applications that require numerous quick design iterations to asses the plausibility of a design, a simulation that both runs quickly and delivers results in the correct ballpark is needed. The coarse resolution allows for fast computation, but such simulations tend to suffer from gradient underprediction at the walls. This happens in particular for flow regimes which may be considered as turbulent, where the steep gradients at the wall mean that a very fine resolution is required to correctly reproduce them. With the effect of wall-bounded phenomena (e.g. wall shear stress, wall heat flux) being a key result for studies that such simulations are used for, it is clear that there is potential for improvement here.

Being one of the flagship applications of PreonLab has made it important to offer various post-processing possibilities to address the needs of the users when it comes to water wading simulations. You can gain loads of insight by performing a full wetting analysis, measuring the flooding height, predicting under-body forces and understanding the flow paths for the regions of interest as well as measuring flow rates of water entering the engine compartment or any critical part of the vehicle.

Technological changes in the automotive industry are no longer just rapid, they have become exponential. Keeping up with the ever-accelerating pace is the key to your success. When you must optimize for cost and speed at the same time, the role of numerical simulation over the entire development process cannot be overestimated. Make sure you are up to date with the industry’s latest simulation technology news and trends and register for the AVL Virtual International Simulation Conference, taking place from June 22 to 24, 2021 – free of charge.

Vehicle soiling phenomena can be a major safety hazard due to obstructed driver’s visibility of the road or abnormal operation of advanced driver assistance systems (ADAS). In this webinar you will learn how to address both challenges in a virtual testing environment early in the vehicle development process.