Tip region vortices control based on cutback squealers in a high-loading axial turbine DOI

Kailai Chen,

Weihao Zhang, Yufan Wang

et al.

Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(10)

Published: Oct. 1, 2024

The evolution of tip region vortices has a significant influence on the aerodynamic performance turbine. Most studies squealer optimization focused enhancing blockage effect inside clearance but had limited controlling outside clearance. In this paper, both and are controlled based trailing edge suction side cutback in non-cooled results indicate that clearance, scraping vortex plays crucial role reducing leakage. enhances strength vortex, thereby expanding effective range. While leakage breakdown exacerbates its dissipation effects, leading to loss downstream blade. injects greater fluid momentum into increased mixing between jet mainstream. Concurrently, also inhibits breakdown, resulting notable reduction loss. combined impact effectively controls total It been demonstrated there exists an optimal length for rim at edge, which can be determined by setting opening initiation breakdown. aforementioned effects cutbacks prominently observed under different operating conditions, indicates possess good applicability certain This offers valuable guidance control optimization.

Language: Английский

Multi-objective optimization of the dynamic performance of a suspended monorail vehicle based on an effective surrogate model DOI
Yun Yang, Qinglie He, Chengbiao Cai

et al.

Engineering Optimization, Journal Year: 2024, Volume and Issue: 56(12), P. 1950 - 1971

Published: Jan. 4, 2024

This work presents the multi-objective optimization (MOO) of dynamic performance a suspended monorail vehicle (SMV) moving on curved bridge, based an effective surrogate model. First, vehicle-bridge interaction features are analysed through Then, MOO method is developed In this method, accuracy and stability radial basis function enhanced by proposing innovative improvement strategy adopting particle swarm algorithm. The proposed validated few numerical tests. Based verification, model between key parameters several objectives formulated, solution set obtained using non-dominated sorting genetic algorithm II. Finally, effects revealed comparing from original values optimal set.

Language: Английский

Citations

6

Effects of non-uniform elbow inflow on the unsteady flow and energy development characteristics of a centrifugal pump DOI Creative Commons
Ye Yuan, Yujian Fang, Lingdi Tang

et al.

Physics of Fluids, Journal Year: 2023, Volume and Issue: 35(1)

Published: Jan. 1, 2023

A non-uniform inflow caused by an elbow structure is one of the main reasons for low energy transformation efficiency a centrifugal pump. Prototype experiments pump are used to analyze rule characteristics under uniform and inflow. The increases hydraulic losses in reduce head operation efficiency. decreases 8% design flow condition. large eddy simulation with shear-modified viscosity model applied simulating excitation development features. impact loss at impeller inlet produces unsteady passage. affects pressure fluctuation frequency, frequency twice blade-passing (250 Hz). high entropy production regions mainly concentrated suction surface blade interface volute, coinciding areas asymmetrical yield distribution intensified because increase

Language: Английский

Citations

15

Design of patterns in tubular robots using DNN-metaheuristics optimization DOI
Soyeon Park, Jongwoo Kim, Jieun Park

et al.

International Journal of Mechanical Sciences, Journal Year: 2023, Volume and Issue: 251, P. 108352 - 108352

Published: March 23, 2023

Language: Английский

Citations

11

Effect mechanism of inlet elbow on energy consumption of large low-head pumping system and its optimization design DOI
Tianxu Yan, Baoyun Qiu, Jianping Yuan

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(1)

Published: Jan. 1, 2025

To investigate the effect of inlet elbow geometry on performance a large low-head pumping system and improve its comprehensive performance, this paper calculated analyzed internal flow fields, external characteristics, entropy production distribution with different parametric combinations via numerical simulations Reynolds averaged Navier Stokes-volume fluids fixed net head method. The energy characteristics were further studied using newly introduced method local change to visualize consumption. An automatic multi-software optimization design was developed based MATLAB, feed-forward neural network, differential evolution algorithm optimize geometrical parameters elbow. research results indicate that appropriate heights throat truncated cone velocity distribution, decrease hydraulic loss in conduit, foster favorable condition at pump outlet. Well-distributed axial impeller improves efficiency. circulation outlet could reduce eliminate separation, reflow, vortices thereby reducing Compared original design, optimized significantly efficiency by 8.4 percentage points. findings reveal systems provide an easy, efficient, economical for modification systems.

Language: Английский

Citations

0

Multi-objective design optimization of insulated gate bipolar transistor structures considering ultrasonic welding packaging DOI

Feng Zhao,

Weifei Hu, Lei Wang

et al.

Engineering Optimization, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: Feb. 14, 2025

Language: Английский

Citations

0

Optimization design of the impeller structure for a micro centrifugal pump based on pressure pulsation and shear stress analysis DOI

Xiao Dan Dong,

Yang Liu

Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Micro centrifugal pumps are commonly used in the medical field for transporting drugs or blood, etc. Due to particularity of fluid media, irregular flow is often generated inside pump resulting over-high pressure pulsation and shear stress, which will eventually cause damage medium. In this paper, internal a micro was investigated through both visualization experiments numerical simulations. When main structure parameters impeller were selected as optimization variables, with stress objectives, combination simulation solution BP neural network genetic algorithm employed optimize objectives respectively. The results indicate that model have high accuracy can be predict performance pumps. After optimization, strength coefficient monitoring point near volute tongue reduced by 40%. becomes more stable. maximum declined 42% 28% volute. research great significance improve stability efficiency

Language: Английский

Citations

0

Aerodynamic and aeroelastic analyses of a split-winglet blade for horizontal axis wind turbine DOI
S. C. Verma,

Devanur Sairam Bharadwaj,

Akshoy Ranjan Paul

et al.

Journal of Ocean Engineering and Marine Energy, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Language: Английский

Citations

0

Optimization of Centrifugal Pump Impeller for Pumping Viscous Fluids Using Direct Design Optimization Technique DOI Creative Commons
Bubryur Kim, M. H. Siddique, Abdus Samad

et al.

Machines, Journal Year: 2022, Volume and Issue: 10(9), P. 774 - 774

Published: Sept. 6, 2022

Pumping viscous fluids using centrifugal pumps in the subsea industry is very common. The pump performance degrades drastically when viscosity of increases, which ultimately gives rise to installation and oil production cost. Their design optimization can lead a significant improvement their performance. Therefore, this study presented effect impeller geometry on pumping fluid through optimization. Here, operation simulated numerically by solving Reynolds-averaged Navier-Stokes (RANS) equations at different flowrates. Experimental testing also performed same oils, for numerical validation. Artificial neural-network-assisted multiobjective was with two independent parameters; wrap angle splitter blade length impeller, head input power as objective functions. Wrap length, both significantly affect while oils; increasing decreasing improve significantly.

Language: Английский

Citations

15

Optimization Design for the Centrifugal Pump under Non-Uniform Elbow Inflow Based on Orthogonal Test and GA_PSO DOI Open Access
Ye Yuan,

Rong Jin,

Lingdi Tang

et al.

Processes, Journal Year: 2022, Volume and Issue: 10(7), P. 1254 - 1254

Published: June 23, 2022

The non-uniform inflow caused by the elbow inlet is one of main reasons for low actual operation performance a centrifugal pump. Orthogonal experiment and GA_PSO algorithm are used to improve head efficiency pump with an based on method combining numerical simulation prototype in this paper. effects design parameters, including radius ratio, blade angle, number, wrap outlet impeller diameter, width flow area studied orthogonal experiment. angle major factor match reduce loss contribute enhancing cavitation characteristics. particle swarm optimization (PSO) optimized integrating genetic (GA), which ensures that PSO-calculation result avoids falling into local global optimal solution obtained as quickly possible. optimally designed algorithm. According test results, 4.7% higher than original

Language: Английский

Citations

12

Satellite Thermal Management Pump Impeller Design and Optimization DOI Creative Commons
Valeriu Drăgan, Oana Dumitrescu,

Cristian Dobromirescu

et al.

Inventions, Journal Year: 2024, Volume and Issue: 9(3), P. 54 - 54

Published: May 6, 2024

This study presents a numerical approach to the design and optimization of centrifugal impellers used in pumps active thermal control systems spacecraft. Although launch costs have shrunk last decade, performance requirements, such as efficiency reliability, increased, are required work up 15 years, depending on mission. To that effect, our paper deals with first step this pump design, namely hydraulic impeller. Constructively, type impeller allows for certain balancing labyrinth seals be applied more effective way, well allowing additive manufacturing methods used—however, details regarding these aspects beyond scope current paper. By combining empirical formulas, computational fluid dynamics (CFD) analysis, artificial neural networks (ANNs), research focuses achieving high fast manufacturing. A series geometries been sized validated using steady-state RANS (Reynolds Averaged Navier-Stokes) simulations, leading identification most efficient configuration. Subsequent an ANN resulted refined notable improvements performance: 3.55% increase 7.9% head. Key parameters influencing performance, including blade number, incidence, backsweep angles, identified. offers comprehensive method address evolving requirements space missions contributes advancement technology domain.

Language: Английский

Citations

2