MOCCA

We present a computational framework for modeling and optimizing complex assemblies using cone joints. Cone joints are integral that generalize traditional single-direction such as mortise tenon to support general of directions assembly. This additional motion flexibility not just reduces the risk deadlocking joint arrangements, but also simplifies assembly process, in particular automatic by robots. On other hand, compared planar contacts, restrict relative part movement improved structural stability. can be realized form curved contacts between associated parts, which have demonstrated good mechanical properties reduced stress concentration. To find best trade-off assemblability stability, we propose an optimization approach first determines optimal each contact subsequently derives geometric realization match this cone. demonstrate our optimize with variety forms, highlight several application examples.