Abstract
The multidisciplinary design optimization method, which integrates aerodynamic performance and structural stability, was utilized in the development of a single-stage transonic axial compressor. An approximation model was created using artificial neural network for global optimization within given ranges of variables and several design constraints. The genetic algorithm was used for the exploration of the Pareto front to find the maximum objective function value. The final design was chosen after a second stage gradient-based optimization process to improve the accuracy of the optimization. To validate the design procedure, numerical simulations and compressor tests were carried out to evaluate the aerodynamic performance and safety factor of the optimized compressor. Comparison between numerical optimal results and experimental data are well matched. The optimum shape of the compressor blade is obtained and compared to the baseline design. The proposed optimization framework improves the aerodynamic efficiency and the safety factor.
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Recommended by Associate Editor Do Hyung Lee
Saeil Lee is a Ph.D. candidate in Aerospace Engineering at Seoul National University. His B.S. degree is from Seoul National University. His research topic is a multidisciplinary design optimization for turbo machines and development of efficient optimization framework.
Dong-Ho Lee is a professor in the School of Mechanical and Aerospace Engineering at Seoul National University. He is a member of The National Academy of Engineering of Korea. He is interested in computational fluid dynamics, wind tunnel test and multi-disciplinary design optimization for large and complex systems (e.g. aircraft, helicopter, high speed train, compressor, and wind turbine).
Young-Seok Kang is a senior researcher at Korea Aerospace Research Institute. He received his Ph.D. from Seoul National University in 2007. His main research interests cover topics from axial compressor and turbine aerodynamic designs and optimizations to their performance assessments by CFD and experimental methods.
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Lee, S., Lee, DH., Kim, KH. et al. Multi-disciplinary design optimization and performance evaluation of a single stage transonic axial compressor. J Mech Sci Technol 27, 3309–3318 (2013). https://doi.org/10.1007/s12206-013-0853-9
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DOI: https://doi.org/10.1007/s12206-013-0853-9