Abstract
In aircraft wings, aileron mass parameter presents a tremendous effect on the velocity and frequency of the flutter problem. For that purpose, we present the optimization of a composite design wing with an aileron, using machine-learning approach. Mass properties and its distribution have a great influence on the multi-variate optimization procedure, based on speed and frequency of flutter. First, flutter speed was obtained to estimate aileron impact. Additionally mass-equilibrated and other features were investigated. It can deduced that changing the position and mass properties of the aileron are tangible following the speed and frequency of the wing flutter. Based on the proposed optimization method, the best position of the aileron is determined for the composite wing to postpone flutter instability and decrease the existed stress. The represented coupled aero-structural model is emerged from subsonic aerodynamics model, which has been developed using the panel method in multidimensional space. The structural modeling has been conducted by finite element method, using the p-k method. The fluid –structure equations are solved and the results are extracted.
Highlights
Aeroelastic conditions are the main features to be considered in an the design of Arial vehicle.In other words, due to the structural interaction of the Arial components with the aerodynamics, it potentially yields to a coupling between fluid and structures
According to the Genetic Algorithm (GA) and Artificial Neural Network (ANN), a novel multidisciplinary design optimization (MDO) method is adopted to propose the best position of the aileron on the composite wing, in order to postpone flutter and alleviated the stress of the root
According to the Design of experiments (DOE), the composite wing is followed by 50 Latin Hypercube types; 75% of the experiments are employed for network training and the other data are used for network validation
Summary
Aeroelastic conditions are the main features to be considered in an the design of Arial vehicle. The studies on aileron effectiveness in subsonic regime, as an active control surface, to decrease undesirable loading, was conducted by Jacobs [7] This approach showed that the aileron has an impact on flutter speed and frequency. Design procedures of airplane structures are completely influenced by control surfaces such as aileron and flaps This influence has direct effect on wing performances and is considered as one of the challenging problems. The other studies and designing development were conducted to assess flutter clearance of the wing with the control surfaces [27]. Design and estimation of the high aspect ratio composite wings performances under flutter conditions and weighting reduction using the MDO method is studied in new aero-structural components [31]. The novel optimization procedure is proposed and applied to find the best position of the aileron with the minimum state of the TSAI–WU stress via USAR [33] and JAR25 [34] criteria and flutter avoidance conditions
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
