基于最大体积分解的电火花加工电极的自动拆解算法

A Algorithm for EDM Electrode Splitting Based on Maximal Volume Decomposition

在模具加工中,很多精细的形状要用电火花加工。为了减轻电火花加工电极的设计工作量,有必要提高电极设计的自动化程度。提出了一种基于体积分解算法的电火花加工电极自动拆解算法。该算法在maximal convex cells算法的基础上加入了邻近区域的排序,从而保证了水平优先的拆解模式。与hint-based算法相比,该算法更加规范和高效,并可方便地扩展到曲线和曲面的处理。

In mould manufacturing industry, a lot of delicate substructures are usually processed by EDM. To alleviate the burden of time-consuming electrode design on mould designers, automation in EDM electrode design is necessary. A algorithm based on volume decomposition is proposed in this paper to automate the electrode splitting. A sorting step is added to the traditional MCC algorithm to ensure the stack type design. This approach is more formalized and efficient than hint-based algorithm and has the potential to be extended to curved objects.