<p>This paper proposes a digital modeling method based on bond space theory for the shooting effects analysis of the aircraft cannon. The method can obtain the firing safety boundary of aerial cannons and provide the optimal firing state. Firstly, a bond space model for triangular elements is established and validated using a numerical example. Subsequently, a digital aircraft model, composed of multiple such elementary units, is derived; this model can be automatically generated from the feature points of the physical aircraft. The recoil force of the aircraft cannon is then applied to the buffer 1-junction, and the dynamic response of the aircraft is obtained by solving the system state equations. Furthermore, an adaptive chaotic particle swarm optimization algorithm is employed to optimize the cannon-junction deformation. Finally, a shooting simulation of an aircraft cannon is presented to illustrate the validity of the proposed method. The analysis demonstrated that increasing engine thrust at the moment of firing, coupled with a diving maneuver to counteract part of the recoil force, is essential for ensuring shooting safety. The most stable shooting condition is achieved at a flight state of 6400 N thrust, 25&#xa0;m/s airspeed, and 12-degree dive angle.</p>

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The impact of cannon fire on aircraft structural performance

  • Tian Tan,
  • Jinsong Dai,
  • Shengye Lin,
  • Zhiyu Fu

摘要

This paper proposes a digital modeling method based on bond space theory for the shooting effects analysis of the aircraft cannon. The method can obtain the firing safety boundary of aerial cannons and provide the optimal firing state. Firstly, a bond space model for triangular elements is established and validated using a numerical example. Subsequently, a digital aircraft model, composed of multiple such elementary units, is derived; this model can be automatically generated from the feature points of the physical aircraft. The recoil force of the aircraft cannon is then applied to the buffer 1-junction, and the dynamic response of the aircraft is obtained by solving the system state equations. Furthermore, an adaptive chaotic particle swarm optimization algorithm is employed to optimize the cannon-junction deformation. Finally, a shooting simulation of an aircraft cannon is presented to illustrate the validity of the proposed method. The analysis demonstrated that increasing engine thrust at the moment of firing, coupled with a diving maneuver to counteract part of the recoil force, is essential for ensuring shooting safety. The most stable shooting condition is achieved at a flight state of 6400 N thrust, 25 m/s airspeed, and 12-degree dive angle.