Mixed design of radar/infrared stealth for advanced fighter intake and exhaust system

Infrared signature of serpentine nozzle with engine swirl

Radar/infrared integrated stealth optimization design of helicopter engine intake and exhaust system

Influences of Design Parameters on a Double Serpentine Convergent Nozzle

Undevelopable stiffened curved shells have been widely used in engineering fields. The shape of the undevelopable curved surface is generally characterized with the non-straight generatrix and variable cross sections, which makes it challenging to automatically model and optimize stiffeners on the undevelopable curved surface. Therefore, the data-driven modelling and optimization framework are proposed for undevelopable stiffened curved shells in this paper. Firstly, a novel mesh deformation method is developed for the data-driven modelling of undevelopable stiffened curved shells based on RBF neural network machine learning method. Its main idea is to firstly define a developable curved shell (background mesh domain) having similar topological characteristics with the undevelopable curved shell (target mesh domain), and then train the mapping relationship between the background mesh domain and the target mesh domain by RBF neural network, and finally the complicated modelling problem of the undevelopable stiffened curved shell can be transformed into a simple modelling problem of developable stiffened curved shell by means of the mapping relationship. Moreover, based on the efficient global optimization (EGO) surrogate method, a data-driven layout optimization method is established for minimizing the structural weight of undevelopable stiffened curved shells. Finally, three representative optimization examples are carried out, including modelling and optimization of stiffeners on hyperbolic parabolic curved surfaces, blade-shaped curved surfaces and S-shaped variable cross-sectional curved surfaces. Optimal results indicate that the structural weight of undevelopable stiffened curved shells decreases significantly after the optimization, indicating the effectiveness of the proposed modelling and optimization framework.

Data-driven modelling and optimization of stiffeners on undevelopable curved surfaces

Influences of shield ratio on the infrared signature of serpentine nozzle

Infrared radiation signatures of gas turbine engine exhaust are suppressed markedly when equipped with a serpentine nozzle compared to an axisymmetric nozzle. The aim of this paper is to research m...

Experimental and computational investigation of double serpentine nozzle

Infrared stealth technology is one of the essential abilities for advanced stealth aircraft. The exhaust system is the main infrared radiation source of aircraft. The serpentine nozzle is a potenti...

Xiaolin Sun

Papers

Infrared signature of serpentine nozzle with engine swirl

Influences of Design Parameters on a Double Serpentine Convergent Nozzle

Influences of shield ratio on the infrared signature of serpentine nozzle

Experimental and computational investigation of double serpentine nozzle

Investigation of Infrared Signature of Serpentine Nozzle for Turbofan