Metal 3D printing support structure process intelligent decision method and system

Abstract

The application discloses a metal 3D printing support structure process intelligent decision method and system, relates to the technical field of 3D printing, and comprises the following steps: three-dimensional registration is carried out based on three-dimensional scanning data; if there is a support structure to be processed on the surface of a workpiece, the next step is entered; a plurality of types of support regions are divided for the support structure to be processed, and an initial removal process scheme is matched for each support region by calling a removal process matching knowledge base; process parameters are output and optimized based on a process parameter optimizer, and optimal process parameters are obtained; each support region is analyzed, a globally optimized process sequence is generated, a dynamic machining path of a mechanical arm is generated, and the mechanical arm is controlled to perform a support removal operation. The technical problems that the support removal process has poor adaptability, the parameter optimization is insufficient in intelligentization, and multi-region process planning lacks global collaboration in the prior art, resulting in low removal efficiency, unstable machining quality and limited overall automation degree are solved.

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