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Featured researches published by Jiaqi Luo.


ASME Turbo Expo 2015: Turbine Technical Conference and Exposition | 2015

An Iterative Inverse Design Method of Turbomachinery Blades by Using Proper Orthogonal Decomposition

Jiaqi Luo; Xiao Tang; Yanhui Duan; Feng Liu

This paper presents an iterative inverse design methodology based on proper orthogonal decomposition (POD) and its applications to the inverse design of turbomachinery blades. In the aerodynamic system with a number of snapshots, the aerodynamic performance with the corresponding aerodynamic shape within the design space can be described as a linear combination of a series of POD basis modes. In the present paper, the description ability of Gappy POD is evaluated firstly and the influence of different parametrization methods and different snapshot approaches are studied and compared in detail. In the POD-based inverse design, the aerodynamic shape can be obtained by only one design process. However, due to the error between the predicted aerodynamic performance by Gappy POD and that obtained from computational fluid dynamics, an iterative inverse design methodology is proposed herein based on the error correction to the target aerodynamic performance. Three inverse design studies of turbomachinery blades are performed. In the first two cases, the profiles of two-dimensional turbine blades are modified to approach the target pressure distributions on the blade surface in subsonic and transonic flow, respectively. In the third case, a three-dimensional supersonic turbine blade is restaggered along span to achieve a given loading distribution in the spanwise direction at the outlet. The design results are presented and compared in detail, demonstrating the effectiveness and improved accuracy of the POD-based iterative inverse design method.Copyright


Science China-technological Sciences | 2017

Flow reconstructions and aerodynamic shape optimization of turbomachinery blades by POD-based hybrid models

Jiaqi Luo; Yalu Zhu; Xiao Tang; Feng Liu


Aerospace Science and Technology | 2017

Aerodynamic shape optimization of a transonic fan by an adjoint-response surface method

Xiao Tang; Jiaqi Luo; Feng Liu


ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition | 2016

Adjoint-Response Surface Method in Aerodynamic Shape Optimization of Turbomachinery Blades

Xiao Tang; Jiaqi Luo; Feng Liu


Aerospace Science and Technology | 2018

Design optimization of the last stage of a 4.5-stage compressor using a POD-based hybrid model

Jiaqi Luo


ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition | 2017

Numerical Investigation of Stator Clocking Effects on the Downstream Stator in a 1.5-Stage Axial Turbine

Yalu Zhu; Jiaqi Luo; Feng Liu


Volume 2C: Turbomachinery | 2018

An Adaptive Harmonic Method for Unsteady Quasi-One-Dimensional Periodic Flow

Yalu Zhu; Jiaqi Luo; Feng Liu


Science China-technological Sciences | 2018

Flow computations of multi-stages by URANS and flux balanced mixing models

Yalu Zhu; Jiaqi Luo; Feng Liu


Aerospace Science and Technology | 2018

Adjoint aerodynamic optimization of a transonic fan rotor blade with a localized two-level mesh deformation method

Xiao Tang; Jiaqi Luo; Feng Liu


Aerospace Science and Technology | 2018

Statistical evaluation of performance impact of manufacturing variability by an adjoint method

Jiaqi Luo; Feng Liu

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Feng Liu

University of California

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Feng Liu

University of California

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Yanhui Duan

China Aerodynamics Research and Development Center

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