Ahmad Barari PhD, PEng, Assistant Professor, University of Ontario Institute of Technology
Hossein Gohari, PhD Student, University of Ontario Institute of Technology (UOIT)
Modeling, analysis and construction of a virtual part in digital manufacturing is commonly done by employing parametric surface. However, to slice an additive manufactured part for 3D printing, the current methodologies uses the surface that is represented by triangular tessellation instead of analytical surface. This potentially causes inaccuracies in the additive manufacturing processes. In this presentation, slicing parameters of fabrication layers are extracted based on parameterization of the geometric surface defining the workpiece. The parameterization is proposed by combination of the Milne-Simpson multistep method and a function of curvature. The main goal is to analytically find cross sections of a parametric surface regarding the desired geometrical characteristics. The desired geometrical characteristics can be classified based on area, surface signature and curvature attitudes and can be directly used for precision Additive Manufacturing. To achieve acceptable accuracy, the curvature is considered as the desired characteristic to slice the parametric surface.