Methods and Tools for Multidisciplinary Optimization of Axial Turbine Stages With Relatively Long Blades

Moroz, Leonid; Govoruschenko, Yuri; Romanenko, Leonid; Pagur, Petr

doi:10.1115/gt2004-53379

Cited by 13 publications

(10 citation statements)

References 5 publications

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“…(7) The flow pattern and the shock structure of the optimized compressor rotor are reasonable. The increasing of adiabatic efficiency of the rotor by the optimization is about 1.73%.…”

Section: Discussionmentioning

confidence: 94%

Blade parameterization and aerodynamic design optimization for a 3D transonic compressor rotor

Chen

Zhang

et al. 2007

J. of Therm. Sci.

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The present paper describes an optimization methodology for aerodynamic design of turbomachinery combined with a rapid 3D blade and grid generator (RAPID3DGRID), a N.S. solver, a blade parameterization method (BPM), a gradient-based parameterization-analyzing method (GPAM), a response surface method (RSM) with zooming algorithm and a simple gradient method. By the use of blade parameterization method a transonic compressor rotor can be expressed by a set of polynomials, and then it enables us to transform coordinate-expressed blade data to parameter-expressed and then to reduce the number of parameters. With changing any one of the parameters and by applying grid generator and N.S. solver, we can obtain several groups of samples. Here only ten parameters were considered to search an optimized compressor rotor. As a result of optimization, the adiabatic efficiency was increased by 1.73%.

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“…(7) The flow pattern and the shock structure of the optimized compressor rotor are reasonable. The increasing of adiabatic efficiency of the rotor by the optimization is about 1.73%.…”

Section: Discussionmentioning

confidence: 94%

Blade parameterization and aerodynamic design optimization for a 3D transonic compressor rotor

Chen

Zhang

et al. 2007

J. of Therm. Sci.

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“…Now a days, turbo machine elements design using integrated software is developing intensively [11,12,13]. Simplified models of computation (1D/2D) [11,14] as well as precise full-dimensional ones [15] can be used in such systems.…”

Section: Problem Statementmentioning

confidence: 99%

Design Optimization of an Axial Flow Compressor for Industrial Gas Turbine

Salunke¹,

Channiwala²,

A³

2014

IJRET

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In recent decade, industry had started to use intensively 3D simulation in compressor flow path and its components design. Designing an Axial Compressor is more an art than science, because one has to vary the parameters by his intuition. Slight variation in one parameter may lead to large variation in another parameter. There are several options to improve the design but it requires enormous time and effort, as each step of designing and analysis is pretty time consuming. Further this design can be optimized with several options available. This paper reports design and optimization of an axial flow compressor, using a uniform approach to solution on theoretical design problems. Preliminary design was carried out for a set of design parameters and tested for stall at different speed and mass flow rate for given pressure ratio. Modeling was performed using 1D and 2D simulations, as the loss parameters were in limits blade modeling was done using blade profiling and 2D analysis. 3D simulation both CFD and FEA were performed. The results of optimized design shown a close agreement with the theoretical design in terms of mass flow rate at given speed for rated pressure ratio with wide stall margin at low losses in less time for limited given input.

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“…Development of the algorithm for the search for optimal solutions using the Sobol sequences is due to the fact that they lack many of the disadvantages of other methods, and have good adaptation to the solution of optimal design problems for turbomachines: make minimum demands on the smoothness of the criterion function; are suitable for the solution of multicriteria tasks taking into account functional and parametrical restrictions; allow for the solution of problems with a large number of optimized parameters. Examples of the use of Sobol sequence within modern optimization algorithms are [16,17].…”

Section: Search For the Optimal Solutionmentioning

confidence: 99%

Optimal Design of Gas Turbines Flow Paths Considering Operational Modes

Бойко

Govorushchenko

Usaty

et al. 2014

Volume 1B, Symposia: Fluid Machinery; Fluid-Structure Interaction and Flow-Induced Noise in Industrial Applications; Flow Appli

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A new technique for multi-parameter optimization of gas turbines flow paths considering a variable mode for their operation is presented. It allows the estimation of the influence of flow path optimization on performance parameters of gas-turbine units, such as power, efficiency, and fuel consumption. An algorithm for turbine flow path multi-criteria optimization that takes into account the gas-turbine unit operation mode is shown. Approaches to speed up the optimization process are described. Using this technique GT-750-6M low pressure turbine flow path optimization based on real working loads during one year is carried out and the results are analyzed. Due to optimization the unit efficiency was improved at all operating modes. The total fuel economy for considered period makes 50.831 t.

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Methods and Tools for Multidisciplinary Optimization of Axial Turbine Stages With Relatively Long Blades

Abstract: An effective methodology for optimal design of axial turbine blades is presented. It has been used for achieving stage maximal efficiency meeting both stress-strain and vibration reliability requirements and taking into account technological limitations.

Cited by 13 publications

References 5 publications

Blade parameterization and aerodynamic design optimization for a 3D transonic compressor rotor

Blade parameterization and aerodynamic design optimization for a 3D transonic compressor rotor

Design Optimization of an Axial Flow Compressor for Industrial Gas Turbine

Optimal Design of Gas Turbines Flow Paths Considering Operational Modes

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