Topology　optimization　techniques　have　been　widely　applied　for　the　generation　of　highly　efficient　material　structures　in　various　fields.　In　addition,　3D　printing　has　the　ability　to　fabricate　geometrically　complex　optimized　results　which　are　difficult　to　realize　for　conventional　means.　The　research　presented　in　here　aims　to　implement　a　digital　design　and　manufacture　high-performance　joints　in　space　truss　by　combining　topology　optimization　and　3D　printing.　Two　multi-condition　optimization　models,　i.e.,　minimum　volume　model　and　minimum　compliance　model,　are　employed　to　optimize　the　spherical　joints　under　multiple　conditions.　The　conditions　are　three　most　dangerous　load　conditions　of　joints　in　the　space　truss.　Since　single-objective　topology　optimizations　only　seek　the　optimal　solution　for　a　single　objective,　the　mechanical　properties　of　the　optimized　result　may　be　limited.　As　a　result,　the　compromise　programming　model,　a　multi-objective　topology　optimization　model,　is　designed　with　the　goals　of　minimum　volume　and　compliance　under　each　condition.　In　addition,　multi-condition　and　multiobjective　topology　optimization　design　of　the　spherical　joints　are　carried　out　based　on　density　approach.　The　advantages　of　the　multi-objective　topology　optimization　are　verified　by　comparing　the　mechanical　performance　of　the　optimized　results　obtained　by　the　minimum　volume　model,　the　minimum　compliance　model　and　the　compromise　programming　model.　Finally,　the　additive　manufacturing　of　the　optimized　results　is　completed　by　using　3D　printing　technology,　which　verifies　the　feasibility　of　digital　design　and　manufacturing　of　joints.