CFD-based optimization of a gas–liquid feed-injection nozzle: the relevance of high-fidelity inlet modeling

Published: 6 October 2026| Version 1 | DOI: 10.17632/25p9spd3p9.1
Contributor:
Higor Rodrigues

Description

This dataset accompanies the article "CFD-based optimization of a gas–liquid feed-injection nozzle: the relevance of high-fidelity inlet modeling" (submitted to Chemical Engineering Science). It contains the inlet-pressure measurements and high-speed recordings from a 45° inclined gas–liquid pipe unit at GLR 1–5 %, the corresponding simulation outputs, and complete ESI OpenFOAM v2312 cases (interIsoFoam) for the pipe-only, decoupled nozzle-only and pipe–nozzle assembly configurations, the nozzle-only case being fed by transient pipe outlet fields mapped as a time-varying inlet condition. It also includes the two Dakota/COBYLA nozzle optimization campaigns, differing only in the inlet condition (mapped vs. uniform), with their inputs, driver, evaluation histories, best designs, cross-evaluation and sensitivity studies, as well as the Python scripts that reproduce the article's figures. README files describe the structure and how to run each part.

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Categories

Derivative-Free Optimization, Computational Fluid Dynamics

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