This paper presents a validation study of a finite element model (FEM) developed to simulate the dynamic behavior of a riflescope during recoil. Accurate modeling of recoil dynamics is crucial for enhancing riflescope durability and maintaining shooting precision, particularly under high G-force conditions that occur during firing. In this study, an experimental model was utilized to capture real-world acceleration data during rifle recoil, which was subsequently employed to validate the FEM. The numerical model was constructed using ANSYS® Explicit Dynamics, meticulously replicating the physical setup, including material properties and boundary conditions. By systematically comparing the FEM results with experimental measurements, the model’s accuracy was thoroughly evaluated in predicting accelerations. The validated model demonstrated a strong correlation with empirical data, providing valuable insights into potential design optimizations that may contribute to enhanced product reliability and performance.

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Finite Element Model Validation Based on an Experimental Model of the Riflescope During Recoil

  • Jose Simoes,
  • Eurico Seabra,
  • Nuno Dourado

摘要

This paper presents a validation study of a finite element model (FEM) developed to simulate the dynamic behavior of a riflescope during recoil. Accurate modeling of recoil dynamics is crucial for enhancing riflescope durability and maintaining shooting precision, particularly under high G-force conditions that occur during firing. In this study, an experimental model was utilized to capture real-world acceleration data during rifle recoil, which was subsequently employed to validate the FEM. The numerical model was constructed using ANSYS® Explicit Dynamics, meticulously replicating the physical setup, including material properties and boundary conditions. By systematically comparing the FEM results with experimental measurements, the model’s accuracy was thoroughly evaluated in predicting accelerations. The validated model demonstrated a strong correlation with empirical data, providing valuable insights into potential design optimizations that may contribute to enhanced product reliability and performance.