A Study on the Multi-Objective Optimization of Impeller for High-Power Centrifugal Compressor (original) (raw)
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Three Dimensional Multi-Objective Design Optimization of Centrifugal Compressor Impeller
International Conference on Aerospace Sciences and Aviation Technology
A method for centrifugal compressor impeller's multi-objective design optimization was developed. The method was applied to a tested twelve radial bladed centrifugal compressor impeller, available in the open literature, as a test case characterized by three-dimensional viscous turbulent flow structure. The optimization target was to maximize the total-to-total adiabatic efficiency, and pressure ratio of the impeller at the design point, considering constant mass flow rate, rotational speed, and nearly constant torque. The aerodynamic analysis was performed using (CFX BladeGen) commercial software. This software solves the three-dimensional turbulent Navier-Stokes flow equations, with zero-equation turbulence model using finite volume method. The capabilities of the software were first validated by comparing the computed results with, an experimental data made by Mizuki [10, 11]. In this experimental work, yaw probes distributed along the impeller channel, were used to determine total and static pressures for hub and shroud. GAlib software was used to apply Genetic algorithm for handling of the optimization problem. The optimal impeller configuration, which corresponds to maximum efficiency, and maximum pressure ratio, keeping the same mass flow rate and rpm, was obtained with only 0.7% violation of the original torque value. A comparison between original and optimized impellers was made, which revealed the causes for efficiency and pressure ratio improvements.
MATEC Web of Conferences, 2018
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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Applied Sciences, 2019
Centrifugal compressor performance is affected by many parameters, optimization of which can lead to superior designs. Recognizing the most important parameters affecting performance helps to reduce the optimization process cost. Of the compressor components, the impeller plays the most important role in compressor performance, hence the design parameters affecting this component were considered. A turbocharger centrifugal compressor with vaneless diffuser was studied and the parameters investigated included meridional geometry, rotor blade angle distribution and start location of the main blades and splitters. The diffuser shape was captured as part of the meridional geometry. Applying a novel approach to the problem, full factorial analysis was used to investigate the most effective parameters. The Response Surface Method was then implemented to construct the surrogate models and to recognize the best points over a design space created as based on the Box-Behnken methodology. The ...
Multi-objective optimization of a centrifugal compressor impeller through evolutionary algorithms
2010
This paper presents the design optimization of a centrifugal compressor impeller with a hybrid multi-objective evolutionary algorithm. Reynolds-averaged Navier-Stokes (RANS) equations are solved with the shear stress transport turbulence model as a turbulence closure model. Flow analysis is performed on a hexahedral grid through a finite-volume solver. Two objectives, viz., the isentropic efficiency and the total pressure ratio (PR), are selected with four design variables that define the impeller hub and shroud contours in meridian terms for optimizing the system. The validation of numerical results was performed through experimental data for the total PR and the isentropic efficiency. Objective-function values are numerically evaluated through the RANS analysis at design points that are selected through the Latin hypercube sampling method. A fast and elitist non-dominated sorting genetic algorithm (NSGA-II) with an ε-constraint strategy for local search coupled with a surrogate model is used for multi-objective optimization. The surrogate model, the radial basis neural network, is trained on discrete numerical solutions by the execution of leave-one-out cross-validation for the dataset. The trade-off between the two objectives has been ascertained and discussed in the light of Pareto-optimal solutions. The optimization results show that the isentropic efficiency and the total PR are enhanced at both design and off-design conditions through multi-objective optimization.
Some Aerodynamic Considerations in the Design of Centrifugal Compressor Impellers
Abstract: A simple one dimensional approach to determine the size of the centrifugal impeller for maximum through flow has been indicated. This design procedure does not mean that the centrifugal impeller could be finally decided on the results obtained from this article. It must be borne in mind that this only deals with some aspects of the design and in itself is not a complete one by which the impeller could have its final shape and size. The major idea of introducing this paper is to highlight the importance of some of the parameters that go towards influencing the design of the centrifugal impeller.
Aerodynamic and geometric optimization for the design of centrifugal compressors
International Journal of Heat and Fluid Flow, 1985
Maximizing efficiency is the main goal in centrifugal compressor design. Thus a computer code has been developed to optimize geometric and fluid dynamic variables with respect to several design constraints. Computations are performed with an adiabatic one-dimensional approach using state-of-the-art loss and slip correlations. The optimization takes into account mechanical stress limits. Results with different loss and slip correlations are compared with the available experimental data. Changes in optimum efficiency and specific speed due to variations of mass flow rate and pressure ratio are also presented and discussed together with the trends of the optimum geometric features.
CFX ANALYSIS OF AN IMPELLER BLADE DESIGN OF CENTRIFUGAL COMPRESSOR
IRJET, 2022
Turbochargers are devices that increase the output power of an internal combustion engine by forcing extra compressed air into the combustion chamber. An accurate and sustainable design of the turbocharger will improve the efficiency of our combustion engine. The most important part of the centrifugal compressor used to compress air is the impeller. Radial impellers have wide range of applications in turbochargers. The aim of this project is to design an impeller blade with the optimum back swept angle so that it can work efficiently. The study is to design and optimize an impeller blade using CFX analysis in Ansys software. The back swept angle will be changed and iterations will be taken until an optimum angle is found. The output data obtained from the analysis will be analyzed and parameters such as pressure ratio, Mach number and flow rate will be considered. Thus, an efficient blade design will help in improving the air flow distribution in the impeller and will in turn increase the overall efficiency of the turbocharger.
Optimal Design of a Centrifugal Compressor Impeller Using Evolutionary Algorithms
Mathematical Problems in Engineering, 2012
An optimization study was conducted on a centrifugal compressor. Eight design variables were chosen from the control points for the Bezier curves which widely influenced the geometric variation; four design variables were selected to optimize the flow passage between the hub and the shroud, and other four design variables were used to improve the performance of the impeller blade. As an optimization algorithm, an artificial neural network (ANN) was adopted. Initially, the design of experiments was applied to set up the initial data space of the ANN, which was improved during the optimization process using a genetic algorithm. If a result of the ANN reached a higher level, that result was re-calculated by computational fluid dynamics (CFD) and was applied to develop a new ANN. The prediction difference between the ANN and CFD was consequently less than 1% after the 6th generation. Using this optimization technique, the computational time for the optimization was greatly reduced and t...