2026 年 13 巻 1 号 p. 1-10
Tritium retention in plasma-facing components is a critical issue for fuel-cycle management in fusion reactors, and accurate evaluation of triton impact behavior is essential. To improve the fidelity of triton-wall interaction analysis in the Large Helical Device, we developed a high-accuracy computational and visualization framework that combines STL-based 3D models with VR-enabled representation of triton impact points and impact velocity vectors. D-D fusion born triton production was modeled using FIT3D-DD, and particle orbits were computed with LORBIT. Collision detection with plasma-facing structures was performed with high-resolution triangular mesh models exported from CAD designs. The STL-based wall model eliminated non-physical impact artifacts that appeared in the conventional cross-section-rotation geometry and provided physically consistent distributions of impact points. The visualization of impact velocity vectors within the VR environment enabled detailed qualitative assessment of incident-angle distributions, revealing geometric features−such as directional asymmetry between clockwise and counterclockwise toroidal magnetic field configurations− that cannot be captured by point-based visualization alone. This integrated approach demonstrates the effectiveness of combining precise geometric modeling with immersive VR visualization for interpreting energetic-particle behavior in fusion devices. The framework offers a valuable tool for correlating impact characteristics with material analyses and supports future optimization of plasma-facing component design.