Design optimisation of an impeller with CFD and Meta-Model of optimal Prognosis (MoP)

Frese, Florian; Einzinger, Johannes; Will, Johannes

doi:10.1533/9780857096135.3a.121

Cited by 7 publications

(1 citation statement)

References 1 publication

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“…Consequently, they have found extensive applications in the field of rotating machinery. Frese et al [5] performed a sensitivity analysis of 15 geometric parameters of an air compressor impeller using the Meta-Model of optimal Prognosis (MoP) and Adaptive Response Surface Method (ARSM). They optimized three highly sensitive geometric parameters using ARSM, with efficiency and pressure ratio as constraint conditions, ultimately obtaining the optimal geometry parameters.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cavitation Performance of High-Speed Centrifugal Pump Based on the Meta-Model of optimal Prognosis

Wang,

Zhang,

Miao

et al. 2024

J. Phys.: Conf. Ser.

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Using a specific type of high-speed centrifugal pump as an example, this study conducted a parameterized optimization design on geometric parameters of the impeller’s flow path. A response sample space was generated with the flow path geometric parameters as input and pressure increment and cavitation volume as output. Based on the Meta-Model of optimal Prognosis, the optimal surrogate model was fitted, and a global sensitivity analysis was conducted. The results indicated that the impeller’s inlet edge parameter and mid-curve parameter had a significant impact on the pressure increment and cavitation volume of the pump. Using a genetic algorithm, the optimal flow path geometric parameters were obtained, and numerical simulation methods were applied to verify the obtained parameters. The results showed that after optimization, the pressure coefficient of the centrifugal pump increased by 0.035, and the cavitation performance improved by 22.28%. The impeller cavitation area and void volume were significantly reduced, and the flow path pressure distribution and flow state were improved.

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Section: Introductionmentioning

confidence: 99%

Optimization of Cavitation Performance of High-Speed Centrifugal Pump Based on the Meta-Model of optimal Prognosis

Wang,

Zhang,

Miao

et al. 2024

J. Phys.: Conf. Ser.

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Manufacture of centrifugal compressor impeller using FDM and investment casting

Choe¹,

Yang²,

Kim³

et al. 2021

Int J Adv Manuf Technol

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The choice of key geometric parameters in the numerical optimization of centrifugal compressor impellers

et al. 2018

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The article deals with the choice of key geometric parameters and the range of their variation in solving the optimization problem of centrifugal compressor impellers using computational fluid dynamics. The study was carried out using Numeca Fine / Turbo package. The influence of more than 10 geometric parameters on the efficiency and the head of the impeller was considered. The influence degree evaluation of investigated optimization parameters was provide by changing the parameters value in a preset range and analyzing their impact on the efficiency and head of the impeller. As a result, the main geometric parameters of optimization, which should be considered first, were identified. Other parameters may not be considered within the optimization problem, and can be assigned to the standard values. In addition, recommendations on optimal ranges of parameter values were given.

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Design optimisation of an impeller with CFD and Meta-Model of optimal Prognosis (MoP)

Cited by 7 publications

References 1 publication

Optimization of Cavitation Performance of High-Speed Centrifugal Pump Based on the Meta-Model of optimal Prognosis

Optimization of Cavitation Performance of High-Speed Centrifugal Pump Based on the Meta-Model of optimal Prognosis

Manufacture of centrifugal compressor impeller using FDM and investment casting

The choice of key geometric parameters in the numerical optimization of centrifugal compressor impellers

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