Chihiro FUJIO, Hideyuki TAGUCHI
DOI Number: N/A
Conference number: HiSST-2025-096
Hypersonic airbreathing vehicle is a promising candidate for high-speed point-to-point transportation and first stage of space transportation system. The airbreathing engine is often mounted to utilize the compression through the vehicle body. However, the design of airbreathing engine and vehicle airframe are often conducted in a separated manner. This may limit the performance of scramjet engine and vary the vehicle longitudinal stability. The present study aims to develop the methodology for simultaneous design of vehicle airframe and scramjet engine. Deep-learning perdiction is employed to accurately evaluate scramjet flowfields and local surface inclination method is for vehicle airframe. The developed
approach has been employed for multi-objective design optimization of hypersonic airbreathing vehicles, demonstrating the co-design of scramjet engine and vehicle airframe.
