|
|
|
|
|
Kai Wang, Zhonghua Han, Keshi Zhang and Wenping Song
Most existing aerodynamic shape optimization (ASO) studies do not take the balanced pitching moment into account and thus the optimized configuration has to be trimmed to ensure zero pitching moment, which causes additional drag and reduces the benefit o...
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
|
|
|
|
|
|
|
|
|
|
|
Mohsen Rostami, Julian Bardin, Daniel Neufeld and Joon Chung
Recent development in Electric Vertical Take-off and Landing (eVTOL) aircraft makes it a popular design approach for urban air mobility (UAM). When designing these configurations, due to the uncertainty present in semi-empirical estimations, often used f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrew S. Thelen, Dean E. Bryson, Bret K. Stanford and Philip S. Beran
The simultaneous optimization of aircraft shape and internal structural size for transonic flight is excessively costly. The analysis of the governing physics is expensive, in particular for highly flexible aircraft, and the search for optima using analy...
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
|
|
|
|
|
|
|
|
|
|
|
Roberto Agromayor and Lars O. Nord
Axial turbines are the most common turbine configuration for electric power generation and propulsion systems due to their versatility in terms of power capacity and range of operating conditions. Mean-line models are essential for the preliminary design...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lasse Mueller and Tom Verstraete
The adjoint method is considered as the most efficient approach to compute gradients with respect to an arbitrary number of design parameters. However, one major challenge of adjoint-based shape optimization methods is the integration into a computer-aid...
ver más
|
|
|
|
|
|