Design Optimization of Rear-Fuselage Boundary-Layer Ingestion Shrouded Propulsor
Abstract
The mitigation of the environmental impact of civil aviation is driving the development of new technologies with the potential for lower emissions, such as boundary-layer ingestion (BLI) configurations. BLI propulsion operates on the wake-filling principle, by energizing the low-momentum boundary layer developed past the airframe to reduce the kinetic energy waste that is needed in the jet of isolated propulsors to produce thrust. In this paper, we present a design optimization study of an aft-fuselage BLI propulsor using Reynolds-averaged Navier–Stokes simulations. The problem is formulated as a multi-objective optimization to maximize the ratio between net-force power and fan flow power in conjunction with the net force acting on the fuselage. A design space exploration is first conducted for an axisymmetric parametric model, revealing the primary influence of global size variables. An optimized two-dimensional model is then used to generate an upswept three-dimensional fuselage and propulsor geometry, whose nonaxisymmetric nacelle external cowl is further optimized to improve the uniformity of the Mach number and the mass flux distribution along the azimuth. The final design exhibits a fan pressure ratio of 1.31 and the ratio between the rear-fuselage thrust power to fan flow power is 0.79, 3% higher than the initial nonoptimized axisymmetric geometry in absolute terms.
References
[1] , “Air Transportation and the Environment,” Transport Policy, Vol. 34, July 2014, pp. 1–4. https://doi.org/10.1016/j.tranpol.2014.02.012
[2] , “IPCC. 2022: Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change,” Cambridge Univ. Press, Cambridge, England, U.K., 2022. https://doi.org/10.1017/9781009157926.012
[3] , “Unconventional Aircraft for Civil Aviation: A Review of Concepts and Design Methodologies,” Progress in Aerospace Sciences, Vol. 131, May 2022, Paper 100813. https://doi.org/10.1016/j.paerosci.2022.100813
[4] , “Advancements and Prospects of Boundary Layer Ingestion Propulsion Concepts,” Progress in Aerospace Sciences, Vol. 138, 2023, Paper 100897. https://doi.org/10.1016/j.paerosci.2023.100897
[5] , “A Review of Novel and Non-Conventional Propulsion Integrations for Next-Generation Aircraft,” Designs, Vol. 8, No. 2, 2024, p. 20. https://doi.org/10.3390/designs8020020
[6] , “Boundary Layer Ingestion Propulsion: A Review on Numerical Modeling,” Journal of Engineering for Gas Turbines and Power, Vol. 142, No. 12, 2020, Paper 120801. https://doi.org/10.1115/1.4048174
[7] , “Wake Ingestion Propulsion Benefit,” Journal of Propulsion and Power, Vol. 9, No. 1, 1993, pp. 74–82. https://doi.org/10.2514/3.11487
[8] , “Benefits of Boundary Layer Ingestion Propulsion,” Benefits of Boundary Layer Ingestion Propulsion, AIAA Paper 2015-1667, 2015. https://doi.org/10.2514/6.2015-1667
[9] , “Development of the D8 Transport Configuration,” 29th AIAA Applied Aerodynamics Conference, AIAA Paper 2011-3970, 2011. https://doi.org/10.2514/6.2011-3970
[10] , “Computational Assessment of the Boundary Layer Ingesting Nacelle Design of the D8 Aircraft,” 52nd Aerospace Sciences Meeting, AIAA Paper 2014-0907, 2014. https://doi.org/10.2514/6.2014-0907
[11] , “Analysis of the Aerodynamic Benefit from Boundary Layer Ingestion for Transport Aircraft,” AIAA Journal, Vol. 56, No. 11, 2018, pp. 4271–4281. https://doi.org/10.2514/1.J056781
[12] , “Boundary-Layer Ingestion Benefit for the STARC-ABL Concept,” Journal of Aircraft, Vol. 59, No. 4, 2022, pp. 896–911. https://doi.org/10.2514/1.C036103
[13] , “Design, Aerodynamic Analysis and Optimization of a Next-Generation Commercial Airliner,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol. 44, No. 12, 2022, p. 609. https://doi.org/10.1007/s40430-022-03924-x
[14] , “Proof of Concept Study for Fuselage Boundary Layer Ingesting Propulsion,” Aerospace, Vol. 8, No. 1, 2021, p. 16. https://doi.org/10.3390/aerospace8010016
[15] , “High-Fidelity Aerodynamic Analysis and Optimization of the SUSAN Electrofan Concept,” AIAA SCITECH 2022 Forum, AIAA Paper 2022-2304, 2022. https://doi.org/10.2514/6.2022-2304
[16] , “Design of a Rear BLI Non-Axisymmetric Propulsor for a Transonic Flight Experiment,” AIAA AVIATION 2022 Forum, AIAA Paper 2022-3803, 2022. https://doi.org/10.2514/6.2022-3803
[17] , “A Review of Boundary Layer Ingestion Modeling Approaches for use in Conceptual Design,” NASA Technical Reports Server NASA/TM-2018-219926, 2018, https://ntrs.nasa.gov/citations/20180005165.
[18] , “Performance Bookkeeping for Aircraft Configurations with Fuselage Wake-Filling Propulsion Integration,” CEAS Aeronautical Journal, Vol. 11, No. 2, 2020, pp. 529–551. https://doi.org/10.1007/s13272-019-00434-w
[19] , “Power Balance in Aerodynamic Flows,” AIAA Journal, Vol. 47, No. 7, 2009, pp. 1761–1771. https://doi.org/10.2514/1.42409
[20] , “Design Exploration for an Axisymmetric Rear BLI Propulsor,” AIAA Propulsion and Energy 2021 Forum, AIAA Paper 2021-3470, 2021. https://doi.org/10.2514/6.2021-3470
[21] , “Large Sample Properties of Simulations Using Latin Hypercube Sampling,” Technometrics, Vol. 29, No. 2, 1987, pp. 143–151. https://doi.org/10.1080/00401706.1987.10488205
[22] , “Genetic Diversity as an Objective in Multi-Objective Evolutionary Algorithms,” Evolutionary Computation, Vol. 11, No. 2, 2003, pp. 151–167. https://doi.org/10.1162/106365603766646816
[23] , “GeDEA-II: A Simplex Crossover Based Evolutionary Algorithm Including the Genetic Diversity as Objective,” Applied Soft Computing, Vol. 13, No. 4, 2013, pp. 2104–2123. https://doi.org/10.1016/j.asoc.2012.11.003
[24] , “Comparison Between Pure and Surrogate Assisted Evolutionary Algorithms for Multiobjective Optimization,” Frontiers in Artificial Intelligence and Applications, Vol. 281, 2016, pp. 229–242.
