Abstract
Fan blade is a complicated object, and obviously it is subjected to geometrical uncertainties from manufacture tolerances and other production deviations. In spite of all uncertainties, the fan blade should provide stable aerodynamic efficiency and strength properties. That is why it is considered to solve multidimensional and multidisciplinary optimization task (aerodynamics, strength, and flutter sensitivity) in robust statement under geometrical uncertainties. In the proposed test case, geometrical uncertainties from fan blade manufacture tolerances and deviations are considered. The probability density function (pdf) was obtained as a result of statistical operation upon the results of blades coordinate measurements. Approximately, 2500 fan blades were measured by means CMM process to reconstruct pdf for more than 40 geometrical uncertainties (there are blade thicknesses for different airfoil locations in several cross sections). CFD and FEM calculations were carried out in NUMECA FINE/Turbo and ANSYS software correspondingly. A surrogate model technique (the response surface and the Monte Carlo method implemented to RSM results) was applied for the uncertainty quantification and the robust optimization process for the task under consideration. In the present work, Approx software was used for surrogate model construction. The IOSO technology was employed as one of the robust optimization tools. This technology is also based on a widespread application of the response surface technique. As a result, robust optimal solutions (the Pareto set) for all four considered criteria were obtained. Probabilistic criteria were assessed based on the results obtained. Robust optimization results were compared with deterministic optimization results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Egorov, I.N., Kretinin, G.V., Leshchenko, I.A.: Stochastic optimization of parameters and control laws of the aircraft gas-turbine engines—a step to a robust design. Inverse Prob. Eng. Mech. III, Elsevier Science Ltd, 345–353 (2002)
Egorov, I.N., Kretinin, G.V., Leshchenko, I.A., Babiy, Y.I.: Optimization of Complex Engineering Systems Using Variable-Fidelity Models. In: Proceedings of the 1st ASMO UK/ISSMO Conference on Engineering Design Optimization, MCB University Press, ISBN 0-86176-650-4, pp. 143–149 (1999)
Egorov, I.N., Kretinin, G.V., Kostiuk, S.S., Leshchenko, I.A., Babi, U.I.: The methodology of stochastic optimization of parameters and control laws for the aircraft gas-turbine engines flow passage components. ASME J. Eng. Gas Turbines Power 123, 495–501 (2001)
Egorov, I.N., Kretinin, G.V., Leshchenko, I.A.: How to execute robust design optimization. In: Proceedings of 8th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA Paper 2002–4328, Atlanta, GA, USA (2002)
Egorov, I.N.: Indirect Optimization Method on the Basis of Self-Organization. Curtin University of Technology, Optimization Techniques and Applications (ICOTA’98), vol. 2, pp. 683–691, Perth, Australia, (1998)
Egorov, I.N.: Optimization of a multistage axial compressor. stochastic approach. ASME Paper 92-GT-163 (1992)
Egorov, I.N., Kretinin, G.V.: Optimization of Gas Turbine Engine Elements by Probability Criteria. ASME Paper 93-GT-191 (1993)
EU FP6 Program NODESIM-CFD. http://www.nodesim.eu/
Polynkin, Andrey, Toropov, Vassili V.: Mid-range metamodel assembly building based on linear regression for large scale optimization problems. Struct. Multidisc. Optim. 45(4), 515–527 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Vinogradov, K., Kretinin, G., Leshenko, I. (2019). Robust Multiphysics Optimization of Fan Blade. In: Hirsch, C., Wunsch, D., Szumbarski, J., Łaniewski-Wołłk, Ł., Pons-Prats, J. (eds) Uncertainty Management for Robust Industrial Design in Aeronautics . Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 140. Springer, Cham. https://doi.org/10.1007/978-3-319-77767-2_36
Download citation
DOI: https://doi.org/10.1007/978-3-319-77767-2_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77766-5
Online ISBN: 978-3-319-77767-2
eBook Packages: EngineeringEngineering (R0)