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  • Mao, Yinbo  (9)
  • 1
    Online Resource
    Online Resource
    Adjoint-Based Boundary Condition Sensitivity Analysis
    American Institute of Aeronautics and Astronautics (AIAA) ; 2022
    In:  AIAA Journal Vol. 60, No. 6 ( 2022-06), p. 3517-3527
    Details
    In: AIAA Journal, American Institute of Aeronautics and Astronautics (AIAA), Vol. 60, No. 6 ( 2022-06), p. 3517-3527
    Type of Medium: Online Resource
    ISSN: 0001-1452 , 1533-385X
    URL: Article
    DOI: 10.2514/1.J061307
    Language: English
    Publisher: American Institute of Aeronautics and Astronautics (AIAA)
    Publication Date: 2022
    detail.hit.zdb_id: 240221-X
    detail.hit.zdb_id: 2032720-1
    SSG: 16,12
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  • 2
    Online Resource
    Online Resource
    2-D prediction method for multi-row film cooling effectiveness
    Elsevier BV ; 2021
    In:  Applied Thermal Engineering Vol. 199 ( 2021-11), p. 117607-
    Details
    In: Applied Thermal Engineering, Elsevier BV, Vol. 199 ( 2021-11), p. 117607-
    Type of Medium: Online Resource
    ISSN: 1359-4311
    URL: Article
    DOI: 10.1016/j.applthermaleng.2021.117607
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2019322-1
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  • 3
    Online Resource
    Online Resource
    Inversion learning of turbulent thermal diffusion for film cooling
    AIP Publishing ; 2022
    In:  Physics of Fluids Vol. 34, No. 3 ( 2022-03-01)
    Details
    In: Physics of Fluids, AIP Publishing, Vol. 34, No. 3 ( 2022-03-01)
    Abstract: Film cooling is a typical three-dimensional fluid phenomenon, where the coolant with lower temperature is ejected from discrete holes to protect metal walls from being burnt by the hot mainstream. It is a great challenge for Reynolds-averaged Navier–Stokes (RANS) methods to accurately predict the coolant coverage on the wall because the turbulent thermal diffusion tends to be under-predicted due to inherent assumptions behind RANS models. In this paper, a framework of integrated field inversion and machine learning is built to enhance RANS prediction of turbulent thermal diffusion. A neural network (NN) is trained in this framework to predict the spatially varying turbulent Prandtl number (Prt) and to improve the prediction of RANS models. The temperature distribution obtained from the large eddy simulation is used as the learning target, and the discrete adjoint method is used as the inverse model that helps calculate derivatives of mean square error of the temperature distribution to NN parameters. The training process of NN shows good convergence properties. The results show that the obtained NN effectively increases the insufficient turbulent thermal diffusion by predicting much lower Prt than the commonly used value of 0.9. The NN-enhanced RANS provides significant improvements on predicting experimental temperature distributions compared with general RANS models not only on the training data but also on the unseen testing data. In addition, the obtained NN can be implemented into general-purpose software with minimal effort and no numerical stability problem.
    Type of Medium: Online Resource
    ISSN: 1070-6631 , 1089-7666
    URL: Article
    DOI: 10.1063/5.0084237
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 1472743-2
    detail.hit.zdb_id: 241528-8
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  • 4
    Online Resource
    Online Resource
    Simple integral model for trajectories of jet deflection in crossflow
    AIP Publishing ; 2021
    In:  Physics of Fluids Vol. 33, No. 11 ( 2021-11-01)
    Details
    In: Physics of Fluids, AIP Publishing, Vol. 33, No. 11 ( 2021-11-01)
    Abstract: An integration method is developed based on mass and momentum conservation laws to predict trajectories of transverse jets in crossflow. The dominant mechanisms of jet deflections, namely, the jet ingestion and the drag force, are quantified. The evolution of the jet size is determined by modeling the growth of the counter-rotating vortex pair, bringing closure to the equation set. Results are compared with experimental data at different velocity ratios, density ratios, and turbulence intensity. Good agreements between predicted results and experimental data demonstrate the advantages of the proposed model over the commonly adopted correlation in prediction accuracy and generality.
    Type of Medium: Online Resource
    ISSN: 1070-6631 , 1089-7666
    URL: Article
    DOI: 10.1063/5.0073013
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 1472743-2
    detail.hit.zdb_id: 241528-8
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  • 5
    Online Resource
    Online Resource
    An Off-Design Flow Angle Model Based on Average-Flow Theory and Wake Analysis
    Springer Science and Business Media LLC ; 2023
    In:  Journal of Thermal Science Vol. 32, No. 2 ( 2023-03), p. 729-738
    Details
    In: Journal of Thermal Science, Springer Science and Business Media LLC, Vol. 32, No. 2 ( 2023-03), p. 729-738
    Type of Medium: Online Resource
    ISSN: 1003-2169 , 1993-033X
    URL: Article
    DOI: 10.1007/s11630-023-1774-2
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2280144-3
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  • 6
    Online Resource
    Online Resource
    Theoretical model for two-dimensional film cooling effectiveness distribution prediction
    AIP Publishing ; 2022
    In:  Physics of Fluids Vol. 34, No. 2 ( 2022-02-01)
    Details
    In: Physics of Fluids, AIP Publishing, Vol. 34, No. 2 ( 2022-02-01)
    Abstract: Film cooling is commonly categorized as a jet in crossflow phenomenon. Due to its fully three-dimensional flow field, characteristically two-dimensional (2-D) cooling effectiveness distributions are observed on the target wall. A theoretical method for 2-D film cooling effectiveness distribution predictions is developed by modeling the diffusion and convective transportation in the lateral direction. The effective diffusion coefficient is introduced to quantify the combined effects of the turbulent and laminar expansion. The convection effect, mainly the vortex entrainment, is quantified based on the analytical Oseen vortex. The intensity, scale, and location of the kidney vortex are modeled, respectively. The 2-D model in the current study can well satisfy the demand both academically and industrially. The time consumption of a 2-D effectiveness distribution calculation is on the magnitude of 1 ×10−2 s. The prediction error is within 8% if given especially correlated model coefficients, or within 14% otherwise.
    Type of Medium: Online Resource
    ISSN: 1070-6631 , 1089-7666
    URL: Article
    DOI: 10.1063/5.0081694
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 1472743-2
    detail.hit.zdb_id: 241528-8
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  • 7
    Online Resource
    Online Resource
    A Novel Model for CFD-Based Throughflow Analysis of Film-Cooled Turbine Blade
    Springer Science and Business Media LLC ; 2022
    In:  Journal of Thermal Science Vol. 31, No. 5 ( 2022-09), p. 1759-1772
    Details
    In: Journal of Thermal Science, Springer Science and Business Media LLC, Vol. 31, No. 5 ( 2022-09), p. 1759-1772
    Type of Medium: Online Resource
    ISSN: 1003-2169 , 1993-033X
    URL: Article
    DOI: 10.1007/s11630-022-1579-8
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2280144-3
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  • 8
    Online Resource
    Online Resource
    On the Relation between Blade Loading and In-Passage Energy Balance
    MDPI AG ; 2021
    In:  Aerospace Vol. 8, No. 11 ( 2021-10-29), p. 324-
    Details
    In: Aerospace, MDPI AG, Vol. 8, No. 11 ( 2021-10-29), p. 324-
    Abstract: This paper presents a novel theory regarding the blade loading and the passage flow field within general turbomachineries. The basic philosophy is to establish an analytical relation between the loading, the flow angle, and the blade geometry based on the conservation of energy. Detailed validations and analyses will be carried out to provide a general scope regarding the theory itself as well as its advantages and limitations in common applications. The paper includes the theoretical derivation of the target relation. The starting point is the standard RANS equations. From that, with the aid of the passage-average operator, the relation between the loading and the passage flow field is derived under the energy balance. Theoretical analyses regarding the validity of the relation are performed based on the simulation results and test data on different cascades. Discussions are conducted regarding the assumption and potential applications of the theory. Conclusions are drawn on the applicability of the theory to introduce its potential applications in general turbomachineries.
    Type of Medium: Online Resource
    ISSN: 2226-4310
    URL: Article
    DOI: 10.3390/aerospace8110324
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2756091-0
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  • 9
    Online Resource
    Online Resource
    Interaction Mechanism and Loss Analysis of Mixing between Film Cooling Jet and Passage Vortex
    MDPI AG ; 2021
    In:  Entropy Vol. 24, No. 1 ( 2021-12-22), p. 15-
    Details
    In: Entropy, MDPI AG, Vol. 24, No. 1 ( 2021-12-22), p. 15-
    Abstract: The interaction between the film-cooling jet and vortex structures in the turbine passage plays an important role in the endwall cooling design. In this study, a simplified topology of a blunt body with a half-cylinder is introduced to simulate the formation of the leading-edge horseshoe vortex, where similarity compared with that in the turbine cascade is satisfied. The shaped cooling hole is located in the passage. With this specially designed model, the interaction mechanism between the cooling jet and the passage vortex can therefore be separated from the crossflow and the pressure gradient, which also affect the cooling jet. The loss-analysis method based on the entropy generation rate is introduced, which locates where losses of the cooling capacity occur and reveals the underlying mechanism during the mixing process. Results show that the cooling performance is sensitive to the hole location. The injection/passage vortex interaction can help enhance the coolant lateral coverage, thus improving the cooling performance when the hole is located at the downwash region. The coolant is able to conserve its structure in that, during the interaction process, the kidney vortex with the positive rotating direction can survive with the negative-rotating passage vortex, and the mixture is suppressed. However, the larger-scale passage vortex eats the negative leg of the kidney vortices when the cooling hole is at the upwash region. As a result, the coolant is fully entrained into the main flow. Changes in the blowing ratio alter the overall cooling effectiveness but have a negligible effect on the interaction mechanism. The optimum blowing ratio increases when the hole is located at the downwash region.
    Type of Medium: Online Resource
    ISSN: 1099-4300
    URL: Article
    DOI: 10.3390/e24010015
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2014734-X
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