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M. Bounouib

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Open access Oct 2026

Surrogate-Assisted Multi-Objective Optimization of an Axial-Flow Ventricular Assist Device Rotor Using CFD, Hybrid Surrogates, Sobol Analysis, and MOPSO.

BACKGROUND This study presents a surrogate-assisted workflow for multi-objective optimization of an axial-flow ventricular assist device (VAD) rotor using 4809 steady-state CFD simulations spanning six geometric variables. METHODS Repeated learning-curve analysis and blade-count-stratified Gaussian-process regression...

M. Bounouib, Reda Lakraimi, H. Isksioui et al. · 0 citations

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