考虑产品故障特征的目标选择性拆卸序列规划

Objective selective disassembly sequence planning considered product fault features

针对实际拆卸过程中产品质量的不确定性和模糊性问题,特别是产品普遍存在的故障问题,对拆卸序列方案选择的影响,提出了考虑产品故障特征的目标选择性拆卸序列规划方法.为便于表达产品拆卸信息,构建了拆卸混合图模型;通过提取产品故障特征,构建了产品故障矩阵,并运用专家意见法推导了零部件故障特征与拆卸模型元素的关联度矩阵;为更新拆卸混合图模型,运用模糊三角函数确定了零部件故障特征对拆卸模型元素的影响度,并根据影响度和专家阈值对拆卸模型元素与拆卸信息进行修正以得到故障拆卸混合图模型;最终,基于产品的故障拆卸混合图模型结合拆卸序列优化算法生成了最优的拆卸序列方案.本文以涡轮减速器为例对所提方法进行了验证,结果表明该方法更切合实际的拆卸过程,较好地解决了产品故障对拆卸造成的模糊影响,极大地提高了拆卸序列方案的可行性和拆卸效率,降低了拆卸的盲目性,案例证明所提方法对于解决拆卸序列规划问题更切实有效.

In view of the influence of uncertainty and fuzziness of product quality in actual disassembly process, especially the common fault of product, on the selection of disassembly sequence, an objective selective disassembly sequence planning approach with fault features of product was proposed. A disassembly hybrid-graph model was constructed to express the constraints of a product and the product fault matrix was constructed by extracting product fault features. The relational degree matrix between the component fault features and the element of disassembly model was derived by the method of expert advices. The influence of the component fault features on the element of disassembly model was determined by the fuzzy trigonometric function to update the disassembly hybrid-graph model, and the disassembly model elements and disassembly information were modified based on the influence and thresholds to generate the fault disassembly hybrid-graph model. Finally, an optimal or suboptimal disassembly sequence scheme is generated by combining a disassembly sequence optimization algorithm. A case study of turbine reducer demonstrated that the proposed method was more practical in the actual disassembly process and could solve the fuzzy effect of product faults on the disassembly process, the feasibility of disassembly sequence scheme as well as the disassembly efficiency were greatly improved, and the blindness of disassembly was reduced effectively, which proved that the proposed method is more effective for solving disassembly sequence planning problem.