Comparative Analysis Between Optimized And Baseline High Pressure Compressor Stages Using Tridimensional Computational Fluid Dynamics
Creators: name: Dragan, V.
name: Malael, I.
name: Gherman, B.
Publisher: name: Zenodo
Year: 2016
Subjects: optimization
CFD
turbomachinery
centrifugal compressor
artifficial neural network
genetic algorithm

description: Re-vamping of industrial turbo-machinery is commonplace in the oil and gas industry in applications where subterranean combustion is used for oil extraction. The current case study refers to such an industrial compressor re-vamping, using a state of the art 3D fully viscous CFD methodology coupled with artificial neural networks (ANNs) and genetic algorithms (GA). The ANN is used to establish correlations within a database of CFD simulations of geometrical variations of the original rotor and the GA uses those correlations to estimate an optimum. The estimate is then tested with the same CFD method and the results are fed back into the database, increasing the accuracy of the ANN correlations. The process is reiterated until the optimum estimated by the GA is confirmed with the CFD simulations. The resulting geometry is superior to the original in terms of efficiency and pressure ratio as well as the range of stabile operation, as confirmed by the successful implementation in the field. In this paper we present an analysis of why the optimized geometry achieves superior performances to the original one. Further work will present comparison between the detailed experimental data and CFD.
description: {"references": ["M. L. Niculescu, V. Silivestru, G. Vizitiu, S. Danaila, C. Berbente, \u201cTheoretical and numerical investigation of centrifugal and mixed compressor impellers\u201d, 8th International Symposium on Experimental and Computational Aerothermodynamics of Internal Flows, Lyon, July, 2007", "L. H. Jawada, S. Abdullah, R. Zulkifli, W. M. F. W. Mahmood, \u201cNumerical study on the effect of interaction vaned diffuser with impeller on the performance of a modified centrifugal compressor\u201d, Journal of Mechanics, Vol. 30, No. 2, pp. 113-121, 2014", "Numeca FINE\u2122/Turbo v9.0, Flow Integrated Environment Theoretical Manual", "D. Wunsch, C. Hirsch, R. Nigro, G. Coussement, \u201cQuantification of combined operational and geometrical uncertainties in turbo-machinery design\u201d, ASME Proceedings, Multidisciplinary Design Approaches, Optimization and Uncertainty Quantification", "C. Hirsch, C. Dinescu, \u201cUncertainty quantification and non-deterministic methodologies for CFD based design-the NODESIM-CFD project\u201d, 7th European Symposium on Aerothermodynamics, Brugge, Belgium, 2011", "F. Montomoli, M. Carnevale, A. D' Ammaro, M. Massini, S. Salvadori, \u201cLimitations in turbomachinery CFD\u201d, in Springer Briefs in Applied Sciences and Technology, pp. 21-32, 2015", "M. R. Galvas, Fortran program for predicting off-design performance of centrifugal compressors, NASA TN D-7487, 1973", "V. Dragan, \u201cAerodynamic reconfiguration and multicriterial optimization of centrifugal compressors\u2013a case study\u201d, INCAS BULLETIN, Vol. 6, No. 4, pp. 41 \u2013 49, 2014", "B. Tang, \u201cOrthogonal array-based latin hypercubes\u201d, Journal of the American Statistical Association, Vol. 88, No. 424, pp. 1392\u20131397, 1993", "M. Rajabi, B. Ataie-Ashtiani, H. Janssen, \u201cEfficiency enhancement of optimized Latin hypercube sampling strategies: application to Monte Carlo uncertainty analysis and meta-modeling\u201d, Advances in Water Resources, Vol. 76, pp. 127\u2013139, 2015", "FINE\u2122/Design3D v9.0 - Optimization Kernel User Manual", "A. Demeulenaere, A. Purwanto, A. Ligout, F. Visser, \u201cDesign and optimization of an industrial pump: application of genetic algorithms and neural network\u201d, ASME Fluids Engineering Division Summer Meeting, Paper No. FEDSM2005-77487, pp. 1519-1527, Houston, TX, USA,Vol. 1, June 19\u201323, 2005", "S. Derakhshan, A. Mostafavi, \u201cOptimization of GAMM Francis turbine runner\u201d, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, Vol. 5, No. 11, pp. 2139-2145, 2011", "M. V. Casey, C. J. Robinson, \u201cA method to estimate the performance of a centrifugal compressor stage\u201d, J. Turbomach., Vol. 135, No. 2, Paper No: TURBO-11-1200, 2012", "C. Rodgers, \u201cThe Efficiencies of single-stage centrifugal compressors for aircraft applications\u201d, International Gas Turbine and Aeroengine Congress and Exposition Orlando, USA, June 3-6, 1991", "C. Xu, R. S. Amano, \u201cEmpirical Design Considerations for Industrial Centrifugal Compressors\u201d, International Journal of Rotating Machinery, Vol. 2012, Article ID: 184061, 2012", "R. H. Aungier, Centrifugal Compressors: A Strategy for Aerodynamic Design and Analysis, ASME Press, New York, 2000", "W. Al-Busaidi, P. Pilidis, \u201cA new method for reliable performance prediction of multi-stage industrial centrifugal compressors based on stage stacking technique: Part II\u2013New integrated model verification\u201d, Applied Thermal Engineering, Vol. 90, pp. 927\u2013936, 2015", "M. Nili-Ahmadabadi, M. Durali, A. Hajilouy, \u201cA Novel Aerodynamic Design Method for Centrifugal Compressor Impeller\u201d, Journal of Applied Fluid Mechanics, Vol. 7, No. 2, pp. 329-344, 2014", "P. Epple, F. Durst, A. Delgado, \u201cA theoretical derivation of the Cordier diagram for turbomachines\u201d, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 225, pp. 354-368, February 1, 2011", "C. Weigel, C. L, Ball, \u201cReynolds number effect on overall performance of a 10.8 centimeter (4.25 in) sweptback-bladed centrifugal compressor\u201d, NASA TN D-6640, 1972"]}