With the development of neural network technology, surrogate models and dimensionality
reduction strategies based on machine learning have become the research hotspots of …

The improvement of existing turbines requires time-consuming computations that often limit
the number of parameters that can be optimized. To address this challenge, this study uses …

Aerodynamic design optimization of the blade profile is a critical approach to improve
performance of turbomachinery. This paper aims to achieve the performance prediction with …

End wall contraction is an effective approach to reduce the substantial secondary loss in the
cascade with low aspect ratio. This paper proposed a series convolutional neural network …

In the present study, an effective optimization framework of aerodynamic shape design is
established based on the multi-fidelity deep neural network (MFDNN) model. The objective …

A fast, flexible, and robust simulation-based optimization scheme using an ANN-surrogate
model was developed, implemented, and validated. The optimization method uses Genetic …

In aerodynamic shape optimization, a high-fidelity (HF) simulation is generally more
accurate but more time-consuming than a low-fidelity (LF) simulation. To take advantage of …

Both symmetric and asymmetric airfoils are widely used in aircraft design and manufacture,
and they have different aerodynamic characteristics. In order to improve flight performance …

Airfoil optimization is the key to improving the aerodynamic performance of a rotor. However,
conventional optimization approaches cannot modify the airfoil shape intelligently in the way …

With the development of modern aero-engine, the compressor is required to achieve higher
performance such as transonic operation, high stage pressure ratio and efficiency. At …