Research on model partition for large-scale rapid prototyping

To build the large-scale model efficiently based on RP, an optimal partition method was described with no need to extend the machine's work volume. By the proposed edge-based partitioning, the large and complex model can be decomposed into small and simple sub-models according to its structure. In this paper, the best fit loop selecting and the hierarchical decomposing are also presented. Several experimental results demonstrate the reliability and efficiency of the edge-based partitioning.