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The OLTRION engineering team runs CFD, FEA and multiphysics simulation programmes for aerospace, automotive, energy and industrial clients, and builds the machine-learning tools that speed them up. These articles come from that project work.
99 articles
Power electronics thermal design for SiC and IGBT inverters: electro-thermal coupling, thermal impedance and RC models, cooler and spreading, thermomechanical FEA, and how mission-profile temperature swings become a lifetime estimate with AI surrogates and honest uncertainty.
What heat exchanger correlations assume, where they stop being reliable, and how conjugate CFD, unit-cell and porous-media models, FEA and AI surrogates add the missing information to design and optimisation.
Neural operators, PINNs, reduced-order models and Gaussian processes compared, then the validation machinery that makes any of them usable: design of experiments, hold-out by region, residual checks, conformal intervals and a governed loop with the solver.
How additive manufacturing simulation predicts distortion and residual stress in laser powder bed fusion, which model fits which question, and where calibration, surrogates and AI/ML help or fall short.
How a liquid cooling cold plate is designed: the thermal resistance chain, channel physics, pressure drop and flow distribution, how CFD results become performance maps for system models, and where AI speeds up the iterations.
How thermal runaway propagation simulation works: cell kinetics, heat paths, barriers and vent gas, calibrated from calorimetry and abuse tests, with Bayesian calibration, surrogates and an out-of-range gate to the solver.
Why aero-only optimisation misses blade vibration, how resonance, flutter, forced response and mistuning are assessed, and where machine-learning surrogates help carry aeromechanical margins into the design loop and where they cannot.
How offshore hydrodynamics is modelled, from Morison's equation and potential flow to CFD, how moorings and floating wind turbines are assessed, and how AI handles thousands of load cases.
What happens under a tyre on a wet road, how coupled CFD and FEA predict hydroplaning speed and wet grip, and how AI helps balance tread design against noise and rolling resistance.
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