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Simulation Based Engineering & Science Magazine
The nacelle is the cover or housing that holds engines, equipment, or fuel on an aircraft. Its design is crucial to the overall aerodynamic efficiency of the aircraft as it often holds key components such as the engine that cannot themselves be easily optimized for aerodynamic efficiency. Given the components the nacelle may house, certain properties, such as the air mass flow intake needed for the engine, needs to be maintained, while reducing the overall drag to increase aerodynamic efficiency. 
The Woodrail® road barrier is designed to improve vehicle safety blending in with the surrounding environment. The barrier has been thoroughly tested and certified against car and bus impact conditions. Since road barriers are built to improve safety of larger road vehicles, they are potentially very dangerous for motorcyclists. For this reason, Woodrail designed a protection system to explicitly account for impact of a human sliding on the road surface and hitting the road barrier 
EnginSoft implemented a new 3D CFD multi-phase model to simulate the water condensation-evaporation processes inside automotive headlamps for Automotive Lighting, a leading supplier of quality headlights to the OEM market. The scope of this project was to provide the company a simulation tool that would assist in the design of an advanced headlamp with a reduced propensity to form internal condensation. 
Course Calendar 2018 - 2019 - Ideon Science Park, SE-223 70 Lund, Sweden
Multi-Objective Robust Design Optimization.
In many engineering design problems the design parameters may only be known to some extent or, in some cases, they may be described by a probability distribution. The designer has to take into account the robustness of his solution, which is defined as the characteristic of the system response to be insensitive to the variation of the input parameters working effectively in a range of circumstances and not being adversely affected by small changes therein. The deterministic model is replaced by an iterative stochastic model in an uncertainty space. The uncertainty space is usually represented in terms of moments like mean and standard deviation of the output variables.