Overview
Combat robotics involves two robots attempting to disable each other within a time limit. Among the many strategies used, spinning weapons dominate due to their simplicity and effectiveness. These weapons must withstand impact loads, resist inertial deceleration, maximize moment of inertia, and remain dynamically balanced. Current design practice relies on a slow, manual process that must account for all these constraints. This paper presents an automated method for weapon design that optimizes performance. SIMP (Solid Isotropic Material with Penalization) topology optimization is applied to minimize disk compliance by redistributing a fixed mass. A post-processing routine then balances the optimized geometry by iteratively adding elements until the center of gravity falls within a specified tolerance. The approach is configurable for diverse applications and produces higher-performing weapon designs in a fraction of the traditional design time.
Results