Performance optimization of an axial turbine with a casing injection based on response surface methodology

Abbasi, Sarallah; Gholamalipour, Afshin

doi:10.1007/s40430-021-03155-6

Cited by 6 publications

(2 citation statements)

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“…Response surface methodology (RSM) is a statistical approach that seeks the appropriate process parameters and solves multivariate issues by employing suitable experimental design methods to gather specific data through trials. The ideal combination of parameters for seeding performance may be adjusted by studying the effect pattern of various factors on the assessment index using response surface methods [28][29][30][31]. The quadratic response surface regression model is generally expressed as follows:…”

Section: Optimization Of Design Methodsmentioning

confidence: 99%

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

Zhang

Yang

Zhang

et al. 2023

Preprint

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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.

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Section: Optimization Of Design Methodsmentioning

confidence: 99%

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

Zhang

Yang

Zhang

et al. 2023

Preprint

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“…In recent years, machine learning methods have been gradually applied to cooling performance prediction of blades and cooling structure optimization of blades due to their excellent performance [12,13]. Abbasi et al [14] numerically investigated the effects of injection angle, mass flow rate, diameter and position on the cooling efficiency of a gas turbine using the response surface method, and explored the sensitivity of the input parameters. Lakzian et al [15] used response surface model to investigate the optimal width and location of air film holes in a turbine blade and analyzed the significance of the effects of eight design variables on blade performance.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on Cooling Performance of a Steam-Cooled Blade Based on Response Surface Method

Zhao

Gao

et al. 2023

Applied Sciences

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In order to investigate the cooling mechanism of the turbine blade and to enrich and supplement the experimental study of the blade, a numerical study of a steam-cooled blade with five cooling channels was carried out based on the response surface model. The surface cooling efficiency and dimensionless temperature distribution of the steam-cooled blade were obtained with different mainstream inlet temperature, outlet pressure, pressure ratio of inlet to outlet, temperature ratio and flow ratio of steam to mainstream by using the flow-solid coupling numerical method. The influence of the working parameters on the cooling performance of air-cooled blade and steam-cooled blade, including the average cooling efficiency, temperature non-uniformity, and average dimensionless temperature, was comparatively investigated; the correlation equation of the working parameters on the cooling performance of the steam-cooled blade was obtained. The results show that the influence of mainstream inlet temperature and outlet pressure on the cooling performance of the steam-cooled blade is not significant; the cooling efficiency of the steam-cooled blade increases by 5.92%, 7.35% and 26.51% respectively as the mainstream inlet to outlet pressure ratio, the temperature ratio and the flow ratio of steam to mainstream increase; the dimensionless temperature increases by 3.74% as the temperature ratio increases and decreases by 0.93% and 4.09% as mainstream inlet to outlet pressure ratio and flow ratio increase; the temperature non-uniformity decreases by 4.09% and 30.08% respectively, as the mainstream inlet to outlet pressure ratio and temperature ratio increase and increases by 37.99% as the flow ratio increases; the effect of working parameters on air-cooled blade and steam-cooled blade is the same, but the steam-cooled blade has 14.06–17.81% higher cooling efficiency, 18.47–29.01% higher temperature non-uniformity and 1.86–2.58% lower dimensionless temperature compared to the air-cooled blade under the same working parameters; the correlation equation obtained by fitting the response surface model has higher accuracy.

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