  Additive manufacturing technologies are positioned to provide an
unprecedented innovative transformation in how products are designed and
manufactured. Due to differences in the technical specifications of AM
technologies, the final fabricated parts can vary significantly from the
original CAD models, therefore raising issues regarding accuracy, surface
finish, robustness, mechanical properties, functional and geometrical
constraints. Various researchers have studied the correlation between AM
technologies and design rules.
  In this work we propose a novel approach to assessing the capability of a 3D
model to be printed successfully (a.k.a printability) on a specific AM machine.
This is utilized by taking into consideration the model mesh complexity and
certain part characteristics. A printability score is derived for a model in
reference to a specific 3D printing technology, expressing the probability of
obtaining a robust and accurate end result for 3D printing on a specific AM
machine. The printability score can be used either to determine which 3D
technology is more suitable for manufacturing a specific model or as a guide to
redesign the model to ensure printability. We verify this framework by
conducting 3D printing experiments for benchmark models which are printed on
three AM machines employing different technologies: Fused Deposition Modeling
(FDM), Binder Jetting (3DP), and Material Jetting (Polyjet).
