No pages match that search.
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
What acoustic-induced and flow-induced vibration are, how Energy Institute screening works, and how CFD, FEA and fatigue assessment confirm the risk and design the mitigation.
The types of propeller cavitation, why they matter for efficiency, erosion, hull vibration and underwater radiated noise, and how CFD, acoustics and AI predict and reduce them.
What parametric roll is, why still-water criteria miss it, how the IMO second-generation intact stability criteria are built, and how simulation and AI support direct assessment.
How seakeeping and manoeuvring simulation predicts motions, slamming, added resistance in waves and manoeuvrability, which method fits which question, and how AI makes the results operational.
Why ship resistance CFD has become part of EEXI and CII compliance, which physics it has to capture, how to trust its answers, and how AI turns it into everyday operating guidance.
When machine-learning surrogate models are worth building for CFD and FEA, how to train and validate them, and how physics-informed methods and uncertainty estimates keep them honest.
How CFD and thermal simulation size cooling for EV battery packs and e-motors: heat sources, conjugate heat transfer, system-level models and the checks that matter.
What makes a crash simulation credible: element choice, material data at strain rate, contact definition, energy and mass-scaling checks, and correlation against test.
A practical guide to modelling composites at the micro, meso and macro scale: what each level predicts well, what it costs, and how to combine them in one validated workflow.
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.
