No pages match that search.
Tag
Every article tagged “Uncertainty quantification”.
17 articles
How discontinuous fiber composite simulation links prepreg chip flow and orientation to cure stress, inter-chip cracking, weld lines and scatter: flow models, orientation mapping, random-chip models, thermoset and thermoplastic matrices, surrogates.
How woven composite simulation links yarn-level unit cells, crimp and nesting, 3D weave interlaminar behaviour, draping shear and locking, and the mapping of fibre angles into the structural model, with validation, scatter and surrogates.
How composite delamination simulation works for unidirectional laminates: ply-level damage against cohesive zones and XFEM, mixed-mode delamination, mesh and cohesive-length rules, size and ply-thickness effects, coupon calibration, design allowables and surrogates.
How atmospheric plasma treatment simulation sets a process window for cleaning and activation: streamer and filament models, turbulent mixing with ambient air, species flux through the boundary layer, dwell time and dose, part heating, ageing, and surrogates over gap, flow, power and speed.
How spacecraft charging simulation works: current balance with photoemission and secondary emission, differential charging against ESD thresholds, internal charging, discharge coupling into harnesses, material and grounding trades, uncertainty in emission data, and where surrogates help.
How magnetron sputtering simulation connects the magnet field, the PIC-MCC discharge with its power supply, target erosion, sputtered-atom transport through hot thin gas, reactive hysteresis, HiPIMS and film uniformity on moving substrates, with calibration, validation and surrogates of stated range.
How plasma etching simulation links reactor ion and radical fluxes to trench profiles: ICP and CCP models, sheath distributions, charging, aspect-ratio-dependent etching, reaction-set uncertainty, chamber matching and surrogates.
How chemical reactor CFD separates mixing from kinetics: Damkohler thinking, micromixing closures and the Villermaux-Dushman test reaction, exothermic hot spots and parametric sensitivity, reduced kinetics and neural closures with a stated range, coupling to process-simulator data, and where surrogates help.
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.
Have a model that will not converge?
Send the geometry, the physics and the decision it has to support. We answer with an approach, not a sales call.
