|
|
|
|
|
Peter Marvin Müller, Georgios Bletsos and Thomas Rung
The contribution is devoted to combined shape- and mesh-update strategies for parameter-free (CAD-free) shape optimization methods. Three different strategies to translate the shape sensitivities computed by adjoint shape optimization procedures into sim...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jinming Lu and Ewald A. Werner
The inverse or cathode shape design problem of electrochemical machining (ECM) deals with the computation of the shape of the tool cathode required for producing a workpiece anode of a desired shape. This work applied the complex variable method and the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Romain Hottois, Arnaud Châtel and Tom Verstraete
Numerical optimization methods are widely used for designing turbomachinery components due to the cost and time savings they can provide. In the available literature, the shape optimization of radial compressors mainly focuses on improving the impeller a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hanyue Rao, Yifu Chen, Yayun Shi, Tihao Yang and Hongyang Liu
Based on the adjoint method, the afterbody of a military transport aircraft was optimized and designed to meet engineering constraints under real flight conditions. Guidance for the key design parameters of the afterbody of the military transport aircraf...
ver más
|
|
|
|
|
|
|
|
|
|
|
Morteza Monfaredi, Varvara Asouti, Xenofon Trompoukis, Konstantinos Tsiakas and Kyriakos Giannakoglou
A continuous adjoint-based aeroacoustic optimization, based on a hybrid model including the Ffowcs Williams?Hawkings (FW?H) acoustic analogy, to account for the multidisciplinary design of aero-engine intakes with an axisymmetric geometry, is presented. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuhang Ma, Jiecheng Du, Tihao Yang, Yayun Shi, Libo Wang and Wei Wang
Robust optimization design (ROD) is playing an increasingly significant role in aerodynamic shape optimization and aircraft design. However, an efficient ROD framework that couples uncertainty quantification (UQ) and a powerful optimization algorithm for...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shenren Xu, Qian Zhang, Dingxi Wang and Xiuquan Huang
Precise and inexpensive uncertainty quantification (UQ) is crucial for robust optimization of compressor blades and to control manufacturing tolerances. This study looks into the suitability of MC-adj-nonlinear, a nonlinear adjoint-based approach, to pre...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xenofon Trompoukis, Konstantinos Tsiakas, Varvara Asouti, Marina Kontou and Kyriakos Giannakoglou
This paper presents an adjoint-based shape optimization framework and its demonstration in a conjugate heat transfer problem in a turbine blading. The gradient of the objective function is computed based on the continuous adjoint method, which also inclu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhenkai Zhang, Alessandro De Gaspari, Sergio Ricci, Chen Song and Chao Yang
This article presents a gradient-based aerodynamic optimization framework and investigates optimum deformations for a transonic airfoil equipped with morphing leading and trailing edges. Specifically, the proposed optimization framework integrates an inn...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lasse Mueller and Tom Verstraete
This paper presents a gradient-based design optimization of a turbocharger radial turbine for automotive applications. The aim is to improve both the total-to-static efficiency and the moment of inertia of the turbine wheel. The search for the optimal de...
ver más
|
|
|
|
|
|