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Engineering blog
How we model composites, crashes, flows and heat, and where machine learning earns its place in the loop. Written by the engineers who run the projects.
Fluidized bed CFD compared: two-fluid, MP-PIC and CFD-DEM, what the drag law and the mesh change, immersed tubes and erosion, why a bench cell misleads scale-up, and where AI closures and surrogates help without replacing pilot data.
How spray dryer CFD handles the atomiser spray, droplet evaporation and drying kinetics, turbulent gas-droplet coupling, sticky powder and wall deposition, cyclone losses and the outlet energy balance, what validation exists, and where surrogates help without replacing pilot trials.
How filtration CFD handles a filter housing: flow split across parallel cartridges, pleated media as a porous zone, cake growth from resolved particle runs, the pressure-drop sawtooth and what cleaning restores, erosion in solid separators, and where surrogates help layout studies.
How stirred tank CFD handles power draw, blend time, dead zones and shear: MRF, sliding mesh and large-eddy simulation compared, why scale-up criteria fail, how agitator loads reach FEA, and where surrogates over impeller diameter, speed and clearance help without replacing a tracer test.
How aeroelastic analysis couples CFD loads to a structural model: conservative load transfer, jig shape versus flight shape, one-way versus two-way coupling, gust loads, flutter and its documented scatter on NASA benchmark cases, and where reduced-order models and surrogates help.
How transonic CFD simulation predicts wing drag, shock position and buffet onset, what the open AIAA Drag Prediction Workshops show about its scatter, how to set up mesh convergence, turbulence models and drag decomposition, and where a surrogate of the aerodynamic database must not extrapolate.
How airframe noise simulation works for landing gear and high-lift devices: tonal and broadband sources, CFD with a Ffowcs Williams-Hawkings step, mesh and record limits, array and tunnel validation, certification context and where AI surrogates help.
How wind turbine CFD handles the rotor, the wake and the atmosphere: blade-resolved versus actuator models, stability, blockage and terrain, what validation data exist, how loads reach blade FEA, and where surrogates help layout and yaw studies without replacing measurement.
How helicopter rotor CFD captures blade-vortex interaction, retreating-blade stall, rotor-fuselage wake and tail shake, how loose and tight CFD/CSD coupling work, what published validation studies show, and how a surrogate over a loads database is built without replacing flight test.
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