科研之友
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摘要
With the increasing of the machining process data, machining process data-driven intelligent machining process planning is becoming more and more important in manufacturing industries. However, existing methods mainly focus on searching the similar NC processes for reference by designers, and the reuse process relies heavily on the experience and knowledge of designers, requiring significant human interactions. In this paper, a novel adaptive dynamic evolution computing approach of roughing process for part with complex pockets is proposed to reduce the burden of designers and improve the efficiency of NC programming. A locally inscribed circle (LIC) moving frame is established to guide the calculation of machining region (MR) and undercut region (UR) for complex pocket in roughing and to circumvent the self-intersection detection issue of whole feature contour offset, and the URs are categorized by the topological structure of its medial axis (MA) for roughing preliminary process scheme adaption. Roughing process adaptive evolution mechanism, including vertical and horizontal adaption, is explored to ensure the connectivity of roughing process context. Process design intent-driven decision-making for roughing process adaptive evolution is proposed to make up the deficiency from the geometric analysis perspective. A prototype system based on CATIA has been developed to verify the effectiveness of the proposed approach.
