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Research on selective disassembly sequence planning for Repair

机译:修复选择性拆卸序列规划研究

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In order to improve the efficiency of selective disassembly sequence planning for repair, a selective disassembly sequence planning approach based on ant colony algorithm is proposed. Hybrid Precedence Graph (HPG) is constructed to describe the geometric constraints among constituting components and components' stability during disassembly. Then in order to find the target component accurately and quickly, disassembly set for the target is obtained based on HPG. Dynamical candidates set strategy based on precedence relations is adopted to constrain the searching space, and a selective Disassembly Sequence Planning (DSP) approach based on HPG is proposed. Finally, the validity and feasibility of the proposed approach is verified by a study case. Taking geometric constraint and components' stability into count, this approach could be more practical.
机译:为了提高修复的选择性拆卸序列规划的效率,提出了一种基于蚁群算法的选择性拆卸序列规划方法。 混合优先级图(HPG)被构造成描述在拆卸期间构成组件和组件的稳定性之间的几何约束。 然后为了准确且快速地找到目标组件,基于HPG获得针对目标的拆卸设置。 采用基于优先关系的动态候选集策略来限制搜索空间,并提出了一种基于HPG的选择性拆卸序列规划(DSP)方法。 最后,研究案例验证了所提出的方法的有效性和可行性。 采用几何约束和组件的稳定性,这种方法可能更加实用。

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