Design optimization of a vane type pre-swirl nozzle

Lee, Jungsoo; Lee, Hyungyu; Park, Hyun-Woo; Cho, GeonHwan; Kim, Donghwa

doi:10.1080/19942060.2020.1847199

Cited by 10 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, the KM has extensively applied approximate complex computational models. The KM is a half parametric interpolation method, which contains the global model and local deviation [52], shown as follows:…”

Section: Kriging Modelmentioning

confidence: 99%

Prediction and Optimization of Heat Transfer Performance of Premixed Methane Impinging Flame Jet Using the Kriging Model and Genetic Algorithm

Chen,

2024

Applied Sciences

View full text Add to dashboard Cite

In practical applications, rapid prediction and optimization of heat transfer performance are essential for premixed methane impinging flame jets (PMIFJs). This study uses computational fluid dynamics (CFD) combined with a methane detailed chemical reaction mechanism (GRI–Mech 3.0) to study the equivalence ratio (Φ), Reynolds number (Re) of the mixture, and the normalized nozzle–to–plate distance (H/d) on the heat transfer performance of PMIFJs. Moreover, the Kriging model (KM) was used to construct a prediction model of PMIFJ heat transfer performance. A genetic algorithm (GA) was used to determine the maximum likelihood function (MLE) of the model parameters for constructing KM and identify the points with the maximum root mean square error (RMSE) as the new infilled points for surrogate–based optimization (SBO). Combining these methods to analyze the simulation results, the results show that the global heat transfer performance of PMIFJs is enhanced with the increase in Φ, the increase in Re, and the decrease in H/d. Sensitivity analysis points out that Re and Φ significantly affect enhanced heat transfer, while H/d has a relatively small effect. In addition, GA was also used to search for the optimal heat transfer performance, and the global heat transfer performance at specific conditions was significantly enhanced. This study deepens the understanding of the heat transfer mechanism of impinging flame jets and provides an efficient method framework for practical applications.

show abstract

Section: Kriging Modelmentioning

confidence: 99%

Prediction and Optimization of Heat Transfer Performance of Premixed Methane Impinging Flame Jet Using the Kriging Model and Genetic Algorithm

Chen,

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The intersection interface transports data between the two domains. After the RMS residuals of the continuity and momentum equations are less than 10 -4 , numerical simulations are deemed to converge [26,27].…”

Section: Boundary Conditionsmentioning

confidence: 99%

Experiment and optimization of axial air-suction roller seed metering device

Zhang

Yang

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

The seed metering device construction is adjusted to improve the negative pressure at the seed metering device type hole and hence the seed suction efficiency. To explore the link between the structural parameters of the seed metering device and the negative pressure of the type hole, the Response Surface Methodology (RSM) is integrated with Computational Fluid Dynamics (CFD). Grid independence was tested to assure the solution's dependability. The internal flow field of the seed metering device was investigated, and the negative pressure at the type hole's input was 56.71 Pa. The Central Composite Design (CCD) in the response surface method was employed to generate a more perfect negative pressure at the suction of the type hole. The diameter of the air chamber channel, the draft angle of the type hole, and the number of fan blades were employed as design factors, and the major target function was the negative pressure at the entrance of the type hole. According to regression research, the optimal point occurs when the air chamber channel diameter is 59.26mm, the draft angle of the type hole is 14.28°, and the number of fan blades is 9. The objective function predicts a negative pressure of 69.41 Pa at the type hole's inlet. The Central Composite Design (CCD) in the response surface method was employed to generate a more perfect negative pressure at the suction of the type hole. The diameter of the air chamber channel, the draft angle of the type hole, and the number of fan blades were employed as design factors, and the major target function was the negative pressure at the entrance of the type hole. According to regression research, the optimal point occurs when the air chamber channel diameter is 59.26mm, the draft angle of the type hole is 14.28°, and the number of fan blades is 9. The objective function predicts a negative pressure of 69.41 Pa at the type hole's inlet.

show abstract

“…When the local pressure drop in th nozzles is considered, the pressure drop of a TLVR will be higher than that of a rigid body [16]. Furthermore, Shen et al [17] found that the nozzles have a large number of small scale vortices and high turbulent fluctuations, which leads to high energy dissipation Thus, Lee et al [18] and Liu et al [19] proposed vane-shaped nozzles to reduce the loca pressure drop. It is worth noting that the collaborative optimization of multiple geomet rical parameters of nozzles is a challenge.…”

Section: Introductionmentioning

confidence: 99%

“…It is worth noting that the collaborative optimization of multiple geomet rical parameters of nozzles is a challenge. In recent years, using high-dimensional surro gate models for predicting the effects of multiple geometrical parameters has become an acceptable approach [18,20,21].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation of a Novel Vortex Reducer in a Co-Rotating Cavity of Aeroengines

Shen,

Wang,

Wang

et al. 2024

Aerospace

View full text Add to dashboard Cite

Improving airflow pressure is of great significance for the cooling and sealing of aeroengines. In a co-rotating cavity with radial inflow, vortex reducers are used to decrease the pressure drop. However, the performance of traditional vortex reducers is limited by their drag reduction mechanism and cannot meet the needs of next-generation aeroengines. In this study, a novel vortex reducer (NVR) consisting of de-swirl shroud orifices and fins is proposed. Meanwhile, a design strategy is developed to ensure the NVR provides steady airflow and excellent drag reduction performance. Furthermore, experiments and numerical simulations are utilized to investigate the flow characteristics and drag reduction mechanism of the NVR. The results reveal that the de-swirl jets created by the de-swirl shroud orifices limit the enhancement of the Ekman layers at large radii, while the fins break down the high-speed vortices at small radii. Compared to a traditional finned vortex reducer with identical fins, the pressure drop of the NVR is relatively reduced by 28.52%. Specifically, the pressure drop of the NVR is monotonous in the operating range, indicating its suitability for engineering. Finally, a surrogate model and particle swarm optimization (PSO) are utilized to identify the optimal parameters of the de-swirl shroud orifices in the design range. This study provides a potential solution for the design of next-generation vortex reducers.

show abstract

Design optimization of a vane type pre-swirl nozzle

Cited by 10 publications

References 25 publications

Prediction and Optimization of Heat Transfer Performance of Premixed Methane Impinging Flame Jet Using the Kriging Model and Genetic Algorithm

Prediction and Optimization of Heat Transfer Performance of Premixed Methane Impinging Flame Jet Using the Kriging Model and Genetic Algorithm

Experiment and optimization of axial air-suction roller seed metering device

Experimental and Numerical Investigation of a Novel Vortex Reducer in a Co-Rotating Cavity of Aeroengines

Contact Info

Product

Resources

About