Design and analysis for aerodynamic efficiency enhancement of steam turbines

Tanuma, Tadashi

doi:10.1016/b978-0-08-100314-5.00006-3

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Based on the research on mathematical modeling [8,9], simulation analysis [10,11], and performance prediction [12,13] of steam turbines, some design methods for the ideal blade shape have been proposed as follows: an eco-design approach for achieving eco-innovative solutions of the turbine blades [7], a reverse-engineering approach of turbine blades for efficiently generating accurate product computer-aided design (CAD) models [14], a modular building block approach for describing the different types of steam turbine blades in detail regarding their geometry and loading [15], a three-dimensional design optimization of steam turbine blades for aerodynamic efficiency enhancement of blades and turbine stages [16], a 3D optimization design method based on an artificial neural network and a genetic algorithm for the rotating blades in a highly loaded turbine [17], and a 3D prescribed surface curvature distribution design method for the high-efficiency turbomachinery blades [18].…”

Section: Introductionmentioning

confidence: 99%

Hot Blade Shape Reconstruction Considering Variable Stiffness and Unbalanced Load in a Steam Turbine

Zhou

Qiu

et al. 2020

Energies

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The blades in the low-pressure stage of a steam turbine must be reverse engineered according to the ideal blade shape due to the deformation of the blade during operation. A numerical analysis model of the flow field of the blades is proposed, and the model is solved by alternating between the fluid domain and the solid domain. Considering the imbalance of the load acting on the blade surface and the change in the blade stiffness matrix when the steam turbine is running, the Newton–Raphson method is used to calculate the pressure of the steam fluid on the blade surface and the change in the flow field caused by the blade deformation in each time step. The data are exchanged between the fluid domain and the solid domain after a single-step solution is completed. The simultaneous changes in the fluid domain and the solid domain are discretized in very short time steps, and the process of the blade deformation from stationary to running is simulated by accumulating the time steps. Finally, the trends in the change in the blade deformation and the aerodynamic load during the deformation process are analyzed according to the result of the reconstruction of the blade shape.

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Section: Introductionmentioning

confidence: 99%

Hot Blade Shape Reconstruction Considering Variable Stiffness and Unbalanced Load in a Steam Turbine

Zhou

Qiu

et al. 2020

Energies

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Development of the Typical Design of the High-Pressure Stage of a Steam Turbine

Avdieieva

Usatyi

Vodka

2020

Advances in Design, Simulation and Manufacturing III

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Geometry-Load Based Hybrid Correction Method for the Pre-Deformation Design of a Steam Turbine Blade

Zhou

Qiu

et al. 2020

Energies

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To solve the problem of the slow convergence of the geometry-based correction (GC) method in the design of a steam turbine blade, this paper proposes a geometry-load-based hybrid correction (GLHC) method. In this method, the deformation of the blade caused by the centrifugal load is still corrected by the GC method, while the deformation caused by the aerodynamic load is corrected by the load-based correction (LC) method instead of the GC method. The LC method updates the cold shape of the blade by reversely applying the aerodynamic load to the ideal shape according to the balance between the internal force generated by the deformation of the blade and the aerodynamic load acting on surface of the hot blade shape, thereby reducing the number of iterations by reducing the shape deviation in each step of the iteration. The GLHC method, which combines the GC and LC methods, is used to improve the design process. The efficiency of the GLHC and GC methods are compared with the maximum number of position deviations of the corresponding mesh nodes between the hot blade and ideal blade shapes, which acts as the criterion. The results show that the GLHC method reduces the number of iterations.

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Design and analysis for aerodynamic efficiency enhancement of steam turbines

Cited by 3 publications

References 12 publications

Hot Blade Shape Reconstruction Considering Variable Stiffness and Unbalanced Load in a Steam Turbine

Hot Blade Shape Reconstruction Considering Variable Stiffness and Unbalanced Load in a Steam Turbine

Development of the Typical Design of the High-Pressure Stage of a Steam Turbine

Geometry-Load Based Hybrid Correction Method for the Pre-Deformation Design of a Steam Turbine Blade

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