Automated multi-objective and multidisciplinary design optimization of a transonic turbine stage

Song, Liming; Luo, Can; Li, J; Feng, Zhenping

doi:10.1177/0957650911425005

Cited by 10 publications

(5 citation statements)

References 20 publications

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“…Therefore, response surface models have been built on the basis of the CFD simulations of 21 sample points in the design space selected by the UD sampling technique [41]. In the process of optimizing the EI function, the self-adaptive multi-objective differential evolution (SMODE) algorithm is used to search the maximum EI value [42], which has better convergence performance when compared with the traditional differential evolution algorithm. distribution.…”

Section: Optimization Algorithmmentioning

confidence: 99%

Aerodynamic Drag Reduction and Optimization of MIRA Model Based on Plasma Actuator

Lai

Can

et al. 2020

Actuators

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Active flow control of surface dielectric barrier discharge (SDBD) plasma is a technology that converts electrical energy into kinetic energy to achieve flow control. Its main application areas are concentrated in the aviation field. Undoubtedly, few studies have applied it in the field of automobile flow control. Meanwhile, during high-speed driving, there is a serious airflow separation phenomenon at the rear of notch-back cars, which brings a large area of negative pressure to the back of the cars. Due to the huge pressure difference between the front and end of the cars, it will increase the driving drag and fuel cost of the car. In this context, we seek to discuss the control effect on the airflow separation at the rear of the notch-back by using the phenomenological numerical simulation method of plasma flow control. Firstly, the plasma actuator is arranged separately on the rear end of the roof, c-pillar, upper and side of the trunk to study the control effect of airflow separation. After that, the plasma actuators at each position are combined and actuated simultaneously. We try to observe the control effect of airflow separation and select the combination with the best drag reduction effect. In the third stage, an efficient global optimization (EGO) algorithm based on kriging response surface is applied to optimize the supply voltage of the best combination that has been obtained before and obtain the driving voltage parameter of each actuator optimized under this combination. The results show that when plasma actuation is applied at four locations, only the actuation applied to the side of the luggage compartment has a significant drag reduction effect, while in other cases, the drag coefficient will increase. Specifically, drag reduction is better when the actuation is applied at four positions simultaneously. The maximum drag reduction coefficient of the car is reduced by 13.17%.

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Section: Optimization Algorithmmentioning

confidence: 99%

Aerodynamic Drag Reduction and Optimization of MIRA Model Based on Plasma Actuator

Lai

Can

et al. 2020

Actuators

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“…More details can be found in Ref. [28]. Figure 4 shows the computational model of Delta-Shaped VG in U-bend channel, and Fig.…”

Section: Fig1 Framework Of Robust Optimization Process For Vortex Gementioning

confidence: 99%

Robust Optimization for Vortex Generators in U-Bend Channel of High-Temperature Blades

Guo¹,

Tao²,

Song³

2019

Proceedings of Global Power &Amp; Propulsion Society

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The uncertainties such as manufacturing errors and environmental variations are inevitably encountered in engineering design, therefore in order to find robust solutions which keep high performance over a wide range, a meanvariance multi-objective robust optimization (RO) framework was proposed. Specifically, a kriging-based uncertainty quantification (UQ) formulation was proposed, which formulates uncertainty parameters and optimization design variables in product form, thereby the optimization search and UQ are conducted simultaneously in RO. Before RO, the sequential sampling strategies were employed to build high-accurate surrogate, which was shown effective by our five-variable engineering problem. Through aero-thermal design of vortex generators (VG) in U-bend channel of hightemperature blades, some issues such as constraints selection and knowledge mining in RO space were addressed. The RO of VG was carried out with one Gaussian-distributed and one uniformly-distributed uncertainty parameter, and three optimization design variables. One deterministic optimization (DO) process at the nominal condition and several RO process with different constraints were conducted. It was shown that the proposed RO was able to find robust solutions that have high-performance and are not sensitive to uncertainty fluctuations; which were validated by CFD. Meanwhile, the solution of DO was found helpful to exclude variance-dominated solutions which have much worse performance. But some constraints based on solution of DO would make the RO solution set to be null, therefore the RO can be an iterative process, in this regard, it is attractive to build high-accurate surrogates before RO. From another perspective, the several RO with different constraints are useful to group the solutions and get a insight into black-box design space like VG, which is valuable to select the final solution from many Pareto solutions.

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“…Pierret et al 14 first conducted the two-dimensional turbomachinery blade design using NS solver and artificial neural network as a proxy model. Song et al 15 realized a multidisciplinary design optimization of a transonic turbine stage based on self-adaptive multi-objective differential evolution algorithm. Focused on the optimization of aerodynamic performance, researchers have contributed a lot to the optimization of different kinds of turbomachinery with various working fluid.…”

Section: Introductionmentioning

confidence: 99%

“…first conducted the two-dimensional turbomachinery blade design using NS solver and artificial neural network as a proxy model. Song et al 15. realized a multidisciplinary design optimization of a transonic turbine stage based on self-adaptive multi-objective differential evolution algorithm.…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic optimization of a SCO₂ radial-inflow turbine based on an improved simulated annealing algorithm

Wang

Zhang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part A:

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Supercritical carbon dioxide plays a vital role in the development of power generation applications. It owns the characteristics of high density and low viscosity, which can ensure a compact structure for turbomachinery. With the blossom of optimization algorithm, an interdisciplinary research which applies optimization method to a traditional design process of turbomachinery can accelerate the course and promote the validity by leaps and bounds. We improve the traditional simulated annealing algorithm and establish an optimization process containing the optimization of rotor meridian plane and nozzle profile. This process can effectively reduce the computation time by establishing a surrogate model of coarse mesh simulation. The effects of traditional simulated annealing algorithm (SAA), genetic algorithm (GA) and improve simulated annealing algorithm (ISAA) are compared. As a result, we realize a maximum of 4.94% promotion for isentropic efficiency in ISAA computation. Also, ISAA method saves the computation time by 59.6% compared to GA and by 41.5% compared to SAA. Applying ISAA optimization method to the turbine in a kW-scale solar-driven Brayton cycle power system, we realize a 1.17% increase for the system efficiency.

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Automated multi-objective and multidisciplinary design optimization of a transonic turbine stage

Cited by 10 publications

References 20 publications

Aerodynamic Drag Reduction and Optimization of MIRA Model Based on Plasma Actuator

Aerodynamic Drag Reduction and Optimization of MIRA Model Based on Plasma Actuator

Robust Optimization for Vortex Generators in U-Bend Channel of High-Temperature Blades

Aerodynamic optimization of a SCO₂ radial-inflow turbine based on an improved simulated annealing algorithm

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Automated multi-objective and multidisciplinary design optimization of a transonic turbine stage

Cited by 10 publications

References 20 publications

Aerodynamic Drag Reduction and Optimization of MIRA Model Based on Plasma Actuator

Aerodynamic Drag Reduction and Optimization of MIRA Model Based on Plasma Actuator

Robust Optimization for Vortex Generators in U-Bend Channel of High-Temperature Blades

Aerodynamic optimization of a SCO2 radial-inflow turbine based on an improved simulated annealing algorithm

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Aerodynamic optimization of a SCO₂ radial-inflow turbine based on an improved simulated annealing algorithm