Fluid Machinery and Fluid Mechanics

A special issue of Fluids (ISSN 2311-5521).

Deadline for manuscript submissions: 19 December 2026 | Viewed by 1344

Editors


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Guest Editor
1. College of Water Resources and Architectural Engineering, Northwest A&F University, Xianyang 712100, China
2. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China
Interests: fluid mechanical flow theory; testing and control; hydraulic machinery and its system operation stability; water pump and pumping station engineering

E-Mail Website
Guest Editor
1. College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China
2. Key Laboratory of Advanced Pumps, Valves and Fluid Control System, Ministry of Education, Lanzhou 730050, China
Interests: internal flow stability and control of fluid machinery; multiphase and particle-laden flows; computational fluid dynamics

Special Issue Information

Dear Colleagues,

This Special Issue of Fluid Machinery and Fluid Mechanics focuses on cutting-edge research and engineering applications at the interdisciplinary interface of fluid machinery and fluid mechanics. It features high-quality research findings pertaining to multiphase flow mechanisms, dynamic characteristic analysis and performance optimization design of fluid machinery. Additionally, it encompasses numerical simulation of internal flow fields, experimental testing methodologies, fluid–structure interaction theory and innovative engineering practices in this field. Balancing fundamental theoretical breakthroughs with industrial practical requirements, the Special Issue is intended to establish a high-caliber platform for academic exchange and technological translation, consolidate the latest research advances of scholars worldwide, advance technological innovation and disciplinary development in fluid machinery and furnish robust theoretical support and practical references for relevant engineering practices. It aims to bridge the gap between academic exploration and industrial application and further drive the sustainable development of the fluid machinery discipline and related engineering fields.

Dr. Wei Dong
Dr. Zhengjing Shen
Guest Editors

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Keywords

  • fluid machinery
  • fluid mechanics
  • multiphase flow
  • dynamic characteristics
  • fluid–structure interaction
  • numerical simulation
  • performance optimization
  • experimental testing

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Published Papers (3 papers)

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Research

28 pages, 58833 KB  
Article
Multi-Objective Optimization and Entropy Production Analysis of Solid–Liquid Two-Phase Flow in Centrifugal Pumps Based on Fluent—Event-Driven Execution Manager Coupling Method
by Jiaming Xu, Wei Dong, Luning Yang and Sucheng Li
Fluids 2026, 11(9), 212; https://doi.org/10.3390/fluids11090212 - 26 Aug 2026
Abstract
In response to the severe wear of centrifugal pumps, Workbench workflow is utilized to adjust the blade inlet and outlet angles, aiming to reduce the wear of the impeller and volute of the centrifugal pump and optimize the pump’s efficiency and head. Orthogonal [...] Read more.
In response to the severe wear of centrifugal pumps, Workbench workflow is utilized to adjust the blade inlet and outlet angles, aiming to reduce the wear of the impeller and volute of the centrifugal pump and optimize the pump’s efficiency and head. Orthogonal experiments are conducted by varying the inlet and outlet angles. The original sample points are expanded and optimized in combination with the support vector machine and grid search. The optimization results indicate that under the condition of spherical particles, the efficiency at the rated operating condition increases by 1.71%, and the head rises by 0.35%. The appropriate eddy currents formed by increasing the impeller inlet angle alleviate the particle deposition phenomenon in the centrifugal pump, resulting in a smoother particle flow. The wear of the centrifugal pump blades decreases from 40.76 × 10−7 mm to 7.77 × 10−7 mm. After optimization, the overall entropy generation rate of the volute decreases, while that of the blade suction surface and the impeller outlet area increases. Additionally, through empirical mode decomposition analysis, it is found that the optimized design reduces high–frequency interference and the pulsation amplitude, making the flow field more stable. The frequency distribution also shifts from being dominated by high–frequency components to concentrating energy in the medium- and low-frequency regions. Full article
(This article belongs to the Special Issue Fluid Machinery and Fluid Mechanics)
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25 pages, 3535 KB  
Article
Numerical Analysis of a Hybrid Turbine with Partial-Height Blades: Performance Gains Beyond Viscous Gap-Reduction
by Kahinan Pastro, Amine Benmoussa, Ricardo Awazu, Frederico Rodrigues and Mohammadmahdi Abdollahzadehsangroudi
Fluids 2026, 11(7), 166; https://doi.org/10.3390/fluids11070166 - 1 Jul 2026
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Abstract
The Tesla turbine operates on viscous shear between parallel discs and, despite its mechanical simplicity, is typically characterized by low efficiency. In the present study, three-dimensional computational fluid dynamics (CFD) simulations performed using ANSYS Fluent are used to examine a hybrid Tesla turbine [...] Read more.
The Tesla turbine operates on viscous shear between parallel discs and, despite its mechanical simplicity, is typically characterized by low efficiency. In the present study, three-dimensional computational fluid dynamics (CFD) simulations performed using ANSYS Fluent are used to examine a hybrid Tesla turbine design in which 0.25 mm thick partial height blades are fitted on the disc faces, with 1 mm distance between them, thereby creating a 0.5 mm flow passage. Simulations employing the k-ω Shear Stress Transport (SST) turbulence model were performed for three blade counts (3, 6, and 9) and three blade geometries (curved, straight, and inverted curve) at rotational speeds from 1000 to 19,000 rpm and inlet pressures of 2 to 4 bar. Comparative analyses with standard 1 mm plane-disc rotors and reduced-gap 0.5 mm plane-disc rotors show that the hybrid arrangement consistently provides better torque and efficiency; this enhancement is not only due to the reduced gap but also to increased pressure-induced momentum and improved flow guidance provided by the blades. The curved blade was found to be the most favourable configuration, and the efficiency was positively related to the number of blades, with a maximum efficiency of 57.5% at 13,000 rpm using nine blades. The analyses sustain the conclusion that adding blades to the rotor discs positions the Tesla turbine model as a hybrid apparatus, combining viscous and pressure mechanisms to significantly enhance turbine performance. Full article
(This article belongs to the Special Issue Fluid Machinery and Fluid Mechanics)
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24 pages, 8829 KB  
Article
Capacity-Specific Anti-Cavitation Radial Control-Valve Trims via Density-Based Topology Optimization
by Bruce Butler, Joe Alexandersen and Sameer Rao
Fluids 2026, 11(6), 153; https://doi.org/10.3390/fluids11060153 - 17 Jun 2026
Viewed by 460
Abstract
We present a material distribution topology optimization (TO) framework that directly generates capacity-specific radial trims for severe-service control valves. The method uses an out-of-plane resistance modified two-dimensional turbulence model and objective functions that maximize directional change to create tortuous pressure-staging geometries at predefined [...] Read more.
We present a material distribution topology optimization (TO) framework that directly generates capacity-specific radial trims for severe-service control valves. The method uses an out-of-plane resistance modified two-dimensional turbulence model and objective functions that maximize directional change to create tortuous pressure-staging geometries at predefined channel depths. Four trims targeting non-dimensional capacities (CV) of 0.672, 0.96 (two objectives), and 1.248 were optimized, MSLA-printed, and tested in a globe valve using IEC 60534 procedures. The measured capacities ranged from −13.7% to +4.8% of the targets for a fully 2D optimization process, dropping to a maximum of 7.8% when coupled with a hybrid 3D tuning step. Acoustic detection indicated incipient cavitation at a pressure drop ratios greater than 0.87 for the most highly staged design and 0.73 for the highest capacity design, which is consistent with our simulations of the flow field before fabrication. These results demonstrate that TO can deliver fit-to-service, capacity-tuned trims with excellent cavitation suppression, reducing reliance on large parametric design libraries. Full article
(This article belongs to the Special Issue Fluid Machinery and Fluid Mechanics)
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