Results 101 to 110 of about 149,345 (346)

Analysis of the flow dynamics characteristics of an axial piston pump based on the computational fluid dynamics method

open access: yesEngineering Applications of Computational Fluid Mechanics, 2017
To improve its working performance, the flow ripple characteristics of an axial piston pump were investigated with software which uses computational fluid dynamics (CFD) technology.
Bin Zhang   +4 more
doaj   +1 more source

Uso da CFD (Computational Fluid Dynamics) para verificar o desempenho de coleta de partículas de um ciclone utilizado para filtração de gases

open access: diamond, 2023
Laryssa Ellem Nascimento Braz   +3 more
openalex   +1 more source

Uniform Gas Flow Distribution into Several Partial Flows under Consideration of Closable Outlets

open access: yesChemie Ingenieur Technik, EarlyView.
The uniform distribution of a gas flow into several partial flows poses a challenge in various technical fields. This study presents a static flow distributor design that ensures an equal distribution of an inlet gas flow regardless of the flow rate and the number of open outlets.
Nikolas Schmidt   +3 more
wiley   +1 more source

Use of computational fluid dynamics (CFD) to model observed nasal nitric oxide levels in human subjects. [PDF]

open access: yesInt Forum Allergy Rhinol, 2022
Shusterman DJ   +5 more
europepmc   +1 more source

A Critical Review of a Computational Fluid Dynamics (CFD)-Based Explosion Numerical Analysis of Offshore Facilities [PDF]

open access: hybrid, 2022
Ki-Yeob Kang   +5 more
openalex   +1 more source

Optimization of 3D‐Printed Structured Packings—Current State and Future Developments

open access: yesChemie Ingenieur Technik, EarlyView.
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke   +3 more
wiley   +1 more source

Learning hydrocracking reaction dynamics via neural ODEs: A data‐driven, gradient‐interpretable lumped modelling framework

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta   +2 more
wiley   +1 more source

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