In　3D　printing,　using　supporting　materials　as　few　as　possible　is　critical　for　efficiency　and　material　saving.　Although　both　model　partition　methods　and　3D　printers　with　multi-DOF(degree　of　freedom)　have　been　developed　independently　to　tackle　the　problem,　only　a　few　existing　approaches　combined　partition　methods　with　multi-DOF　printers.　We　present　a　global-optimization-based　model　decomposition　method　for　multi-DOF　3D　printers　to　achieve　consistent　printing　with　the　least　supporting　materials.　We　solve　the　minimization　of　the　surface　area　that　need　supporting　where　the　printing　sequence　is　determined　inherently　by　global　single-objective　optimization.　We　first　describe　the　printing　constraints　for　using　a　multi-DOF　3D　printer,　then　propose　an　optimization　framework　that　meets　the　constraints.　Experiments　show　the　merits　of　our　method.