Manufacturing and maintaining different aircraft fleet leads to various purposes, which consumes
more money as well as man power. Solution to this, nations that are leading in the field of aeronautics
are performing much research and development works on new aircraft designs that could
do the operations those were done by varied aircrafts. The foremost benefit of this delta wing is,
along the huge rearward sweep angle, the wing’s leading edge would not contact the boundary of
shock wave. Further, the boundary is produced at the fuselage nose due to the speed of aircraft
approaches and also goes beyond the transonic to supersonic speed. Further, rearward sweep
angle greatly worse the airspeed: wings under normal condition to leading edge, so permits the
aircraft to fly at great transonic, subsonic, or supersonic speed, whereas the over wing speed is kept
to minimal range than that of the sound speed. The cropped delta wing with fence has analysed in
three cases: Fences at 3/4th distance from the centre, with fences at half distance from the centre
and with fences at the centre. Further, the delta wing that cropped is exported to ANSYS FLUENT
V14.0 software and analysed by making the boundary condition settings like sonic Mach number
of flow over wing along with the angle of attack.
The designing and modeling of delta wing is one of the interesting topics. A number of researchers has contributed different works on modeling the same. This paper comes out with a new delta wing modeling with the inclusion of optimization concept. The obtained data from the investigation is integrated and given as the input to the classifier for predicting the drag and lift coefficients. This paper uses neural network (NN) classifier for predicting the drag and lift coefficients. Moreover, the weight of the NN is optimized using a proposed genetic algorithm. After the implementation, the performance of proposed model is compared to other conventional methods like individual adaptive genetic algorithm (IAGA-NN), deterministic adaptive genetic algorithm (DAGA-NN), self-adaptive genetic algorithm (SAGA-NN), genetic algorithm (GA-NN), gradient descendent (GD-NN), and Levenberg masquerade (LM-NN), respectively, in terms of drag and lift coefficient.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.