Computational Aerodynamics Study of Competing Conceptual Designs for Advanced Tactical Fighter Aircraft

Abstract

Advanced tactical fighter (ATF) configurations are bound to perform high angle of attack (AoA) maneuvers. However, existing conceptual design tools available in aerospace industry are based on empirical or potential flows that cannot predict aerodynamic data in nonlinear regimes. High-fidelity computational fluid dynamics algorithms have to be incorporated during conceptual design phase for better assessment between competing configurations. In this research, steady state aerodynamic analysis is conducted to compare four conceptual designs of advanced tactical fighters through Reynolds-averaged Navier-Stokes (RANS) simulations. Prior to the study, two validation test cases were conducted based on ONERA M6 Wing and benchmark unmanned combat air vehicle (UCAV) design to assess the computational setup for the problem. Pressure based solver is used to model the flow field in subsonic, transonic and supersonic regimes at sea level for all four competing designs. The quantitative results include the aerodynamic forces and the longitudinal stability coefficient comparisons among the models and its components. The qualitative analyses include pressure distribution, eddy shedding and behavior of vortices at varying flow angle. Additionally, the empirical estimation for interpolation and post-stall extrapolation are carried out for further flight performance studies.

An investigation into various visualization tools for complex biological networks

“…53 Further, the manifold's width of data visualization has increased significantly due to the development of digital technology through internet advancements, due primarily to such visuals as graphs and graphic diagrams. 54 Thus, visualization has become a great tool for information analysis and sharing, 55 and it is essential to the scientific process because, no matter the research significance, if policymakers, other experts or the public cannot grasp the science presented to them, society will not profit from its results 56 ; as such, visualization uses images to represent data to give viewers a clear understanding, 57 and it enables the comprehension of highly complex biological data, 58 making it possible for administrators to understand much data quickly and easily at first glance on the state-of-the-art network. In addition, it offers decision-makers the power to visualize analytics to help them comprehend complex ideas and patterns.…”