Design of a high-performance centrifugal compressor impeller and an investigation on the linear effects of the hub

Yang, Xinle; Tang, M.; Song, Li; Li, Weikang

doi:10.1063/5.0066151

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…Root Mean Square Error (RMSE): This is a measure of the standard deviation of actual results of CFD analysis from the ANN-predicted results and is given by Equation (13). It describes the spread of predicted results around the regression line.…”

Section: Key Performance Indices For Ann Studymentioning

confidence: 99%

“…Yang et al [13] used a centrifugal compressor impeller in their case study, and the line shape of the hub was changed to investigate the effect of line curvature on compressor performance. The numerical research findings revealed that within the design value range, the curvature of the impeller hub profile increased as the flow range and surge margin of the compressor impeller increased.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Investigations and Artificial Neural Network-Based Performance Prediction of a Centrifugal Fan Having Innovative Hub Geometry Designs

Nagaraj,

Karanth

2023

ASI

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It is a well-known fact that air approaches the eye region of the rotating impeller of a centrifugal fan with shock-less entry conditions in an ideal scenario. The flow in this region is associated with induced swirl losses, leading to cumulative performance losses. Proper flow guidance in the vicinity of the eye region is essential to minimize possible flow losses. The flow guiding structure may be in the form of a projection or extrusion connected to the rotating impeller of the turbo machines and is generally named a hub. These attachments enhance the overall flow augmentation of the turbo machines in terms of static pressure improvement by reducing a significant amount of inlet turning losses. This article attempts to highlight the efficacy of hubs of various shapes and sizes on the pressure rise of the centrifugal fan using Computational Fluid Dynamics (CFD). Simulation results revealed that the optimized hub configuration yields about an 8.4% higher head coefficient and 8.6% higher relative theoretical efficiency than that obtained for the hub-less base configuration. This improvement in these paraments therefore also commemorates the global progress in energy efficiency as per the UN’s Sustainable Development Goals, SDG 7 in particular. Simultaneously, in the Artificial Neural Network (ANN), a Multi-Layer Perceptron (MLP) model is used to forecast the performance of a centrifugal fan with an optimized hub design. The results predicted by the ANN model are found to be in close agreement with the optimized hub shape’s numerical results.

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Section: Key Performance Indices For Ann Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical Investigations and Artificial Neural Network-Based Performance Prediction of a Centrifugal Fan Having Innovative Hub Geometry Designs

Nagaraj,

Karanth

2023

ASI

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“…This would reduce mechanical efficiency. Zhao et al [19] analyzed the influence of blade shape [20] on pressure oscillations in the flow field [21]. They made improvements to the design of the blades.…”

Section: Introductionmentioning

confidence: 99%

Study of blade moment calculation on variable geometry turbine adjusting mechanism

Zhong,

Chen,

Qin

et al. 2024

J. Phys.: Conf. Ser.

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In recent years, the layout of rotary instructing leaves in mutable loop worm wheels has been a research hotspot. The rotary instructing leaves are subjected to the action of hyperthermal and nippy airstream and the influence of frictional force on the spin axis. For the rotary instructing leaves, the combined action of hyperthermal and nippy airstream generates an aerodynamical moment, while frictional force generates a frictional moment. When the rotary instructing leaves rotate, the aerodynamical moment and frictional moment constantly change as the angular motion of the blades. This research is rare, and there is no mature case for reference. The article applies fluid-structure coupled heat transfer and software programming to seek the blade moment. During the process of blade angular motion from -10° to +10°, the total moment of the blade earlier rises and afterward falls. When the blade angular position is -2°, the total moment runs to vertex 3.74489 N·m. Test data from the exploration laboratory have validated this conclusion. The maximum deviation compared to the test data of the exploration laboratory is 4.562%. The aerodynamical and frictional moments are momentous indicators for mutable loop worm wheel study. They can offer physical references for the mutable loop design of a turbo. The paper can also offer a new method for the blade moment calculation. This is important sense for the innovation of mutable cyclic worm wheels.

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“…Li et al studied a set of high-speed compressor impellers with different geometries and analyzed the secondary flow model, where the ratio of impeller inlet diameter to outlet diameter has an effect on the impeller flow uniformity, which, in turn, affects the compressor efficiency [23]. Yang et al modified the hub alignment to investigate the effect of hub curvature on the performance of the compressor [24]. Hong et al, through numerical simulations of a centrifugal compressor for a hydrogenpowered fuel electric vehicle, found that the generation of leaf top leakage, hub separation, and horseshoe vortex structure determined the degree of the aerodynamic performance of the centrifugal compressor [25].…”

Section: Introductionmentioning

confidence: 99%

Design of Electric Supercharger Compressor and Its Performance Optimization

Wei

et al. 2023

Processes

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The performance of the centrifugal compressor, which is the main component of the electric supercharger, significantly impacts the engine’s dynamics, economy, emissions, and responsiveness. The purpose of this paper is to enhance the aerodynamic performance of the centrifugal compressor of the electric supercharger for the two-stroke engine by optimizing the design of its impeller and diffuser parameters. The paper employs the numerical simulation method and applies the Spalart–Allmaras turbulence model to solve the RANS equations to analyze the impact of impeller-related parameters on the centrifugal compressor’s performance. Subsequently, the paper optimizes the initial model parameters based on the simulation results and confirms its performance through an experiment. The findings indicate that enhancing the isentropic efficiency and pressure ratio of the compressor can be achieved by increasing the number of blades on the impeller, selecting an appropriate blade backward angle, and increasing the relative outlet width. After optimization, the compressor’s efficiency can achieve 0.842, the pressure ratio can reach 1.49 with a working margin of 22%, and the efficiency is enhanced by 1.4%, while the pressure ratio is increased by 1.8% compared to the pre-optimization state. Moreover, the optimized model is experimentally validated to meet the design requirements.

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Design of a high-performance centrifugal compressor impeller and an investigation on the linear effects of the hub

Cited by 6 publications

References 18 publications

Numerical Investigations and Artificial Neural Network-Based Performance Prediction of a Centrifugal Fan Having Innovative Hub Geometry Designs

Numerical Investigations and Artificial Neural Network-Based Performance Prediction of a Centrifugal Fan Having Innovative Hub Geometry Designs

Study of blade moment calculation on variable geometry turbine adjusting mechanism

Design of Electric Supercharger Compressor and Its Performance Optimization

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