Development of Closed Bounded Volume (CBV) grouping method of complex faceted model through CBV boundaries identification

For developing automatic tool-path planning in multi-axis roughing processes of complex faceted models, the so called Opened Bounded Volume (OBV) and Closed Bounded Volume (CBV) must be identified. The CBV feature in a complex faceted model can be detected through Paired Normal Vectors Bucketing method (PNVB). This paper describes further method to partition the CBV in a model that contains more than one CBV. Possibilities of CBV configuration are identified to define the boundaries between detected CBV. The faceted model is mapped on matrix, in order to analyze the existence of boundaries through matrices scanning procedure. An algorithm is developed and implemented to get the final CBV groups. At the end, each CBV group has its own data structure, to enable further analysis in planning the manufacturing processes. The developed method and algorithms can successfully identify and group all the CBV that exist in complex faceted models.