With the development of artificial intelligence, machine learning technique has been applied
in turbomachinery optimization. However, the performance of a classic machine learning …

Turbomachinery design is increasingly carried out by means of automated workflows based
on high-fidelity physical models and optimization algorithms. The parametrization of the …

The optimization design of the actual fan/compressor rotors is a multidisciplinary problem.
The aerodynamics and strength multidisciplinary optimization design of the fan/compressor …

With the increased load of turbine stages, shock waves and secondary flow influence the
performance of turbines more and more significantly. Aiming at improving the aerodynamic …

This work presents a novel volumetric parameterization technique along with the continuous
adjoint method to support gradient‐based CFD shape optimization of turbomachinery …

Inspired by the three-dimensional design of flow passages in turbomachinery, this study
proposes the concept of integrated passage design. The capability of adjoint method for …

To further alleviate the computational cost of single-fidelity efficient global optimization
(EGO) method, the variable-fidelity surrogate-based EGO method assisted by variable …

This paper describes a multidisciplinary design optimization for performance improvement of
an electric-ducted fan rotor using free-form deformation (FFD) and data mining techniques. A …

In aerodynamic design, accurate and robust surrogate models are important to accelerate
computationally expensive computational fluid dynamics (CFD)-based optimization. In this …

Shock control bumps can help to delay and weaken shocks, reducing loss generation and
shock-induced separation and delaying stall inception for transonic turbomachinery …