在混合式多阶段加工过程中，最终零件的加工质量受所有工序上多个偏差流传递累积的影响。为确保加工过程的稳定性，需要对加工过程偏差传递进行动态实时分析，提早发现具有潜在质量问题的关键工序并识别其误差源。提出了一种自适应加权偏差传递网络建模与误差溯源方法。基于实际加工误差的产生与传递机理，构建自适应加权偏差传递网络。借鉴搜索引擎中PageRank排名算法，提出加权偏差传递网络节点重要性评估指标——AWVPN-NodeRank，提取出多阶段加工过程具有潜在质量问题的关键加工表面。提出基于分层重构的关键加工面的误差源诊断方法，从而确定需要优先改进的工序及其加工设备节点。以一典型主轴承盖零件的多阶段加工过程为分析对象，对所提方法进行验证，结果表明该方法能够有效识别工序流的薄弱工序及其加工设备节点。
郑小云
,
余建波
,
刘海强
,
程辉
,
孙习武
,
吴昊
. 混合式多阶段加工过程的自适应加权偏差传递网络建模与分析[J]. 机械工程学报, 2018
, 54(13)
: 179
-191
.
DOI: 10.3901/JME.2018.13.179
For hybrid multistage machining processes (HMMPs), the final product quality is affected by the propagation and accumulation of variation from all machining stages. To ensure the machining processes stability, a dynamic real-time analysis of variation propagation and error source identification based on adaptive weighted variance propagation network (AWVPN) is proposed. The mechanism of variation propagation is used to construct the Network. Based on the AWVPN model and the PageRank ranking algorithm, an evaluation index named AWVPN-NodeRank for node importance and corresponding evaluation method is proposed to identify the key machining surface. To ensure the priority of the nodes, the method of level structuring is used to recognize the sorted error sources of key machining surface. Typical HMMPs of the main bearing cap is used to verify the effectiveness of the proposed method. The results show that these methods can effectively identify the weak process and the problematic machining equipment.
[1] HU S J, KOREN Y. Stream-of-variation theory for automotive body assembly[J]. CIRP AnnalsManufacturing Technology, 1997, 46(1):1-6.
[2] JIN J, SHI J. State space modeling of sheet metal assembly for dimensional control[J]. Journal of Manufacturing Science and Engineering, 1999, 121(4):756-762.
[3] ABELLAN-NEBOT J V, LIU J, SUBIRON F, et al. State space modeling of variation propagation in multistation machining processes considering machining-induced variations[J]. Journal of Manufacturing Science and Engineering, 2012, 134(2):021002.
[4] HUANG Q, SHI J, YUAN J. Part dimensional error and its propagation modeling in multi-operational machining processes[J]. Journal of manufacturing science and engineering, 2003, 125(2):255-262.
[5] ZHANG T, SHI J. Stream of variation modeling and analysis for compliant composite part assembly-part I:Single-station processes[J]. ASME J. Manuf. Sci. Eng., 2016, 138(12):121003.
[6] 杜世昌,奚立峰,潘尔顺. 串并联混合式多阶段制造系统产品质量建模与控制[J]. 计算机集成制造系统, 2006, 12(7):1068-1073. DU Shichan, XI Lifeng, PAN Ershun. Modeling & controlling of product quality in serial-parallel hybrid multi-stage manufacturing systems[J]. Computer Integrated Manufacturing Systems, 2006, 12(7):1068-1073.
[7] LIU D, JIANG P. Modeling of machining error propagation network for multistage machining processes[C]//International Conference on Intelligent Robotics and Applications. Springer Berlin Heidelberg, 2008, 5(315):408-419.
[8] 江平宇,王岩,王焕发,等. 基于赋值型误差传递网络的多工序加工质量预测[J]. 机械工程学报,2013,49(6):160-170. JIANG Pingyu, WANG Yan, WANG Huanfa, et al. Quality prediction of multistage machining processes based on assigned error propagation network[J]. Journal of Mechanical Engineering, 2013, 49(6):160-170.
[9] 李冬英,李梦奇,张根保,等. 元动作装配单元误差源及误差传递模型研究[J]. 机械工程学报, 2015, 51(17):146-155. LI Dongying, LI Mengqi, ZHANG Genbao, et al. Mechanism analysis of deviation sourcing and propagation for meta-action assembly unit[J]. Journal of Mechanical Engineering, 2015, 51(17):146-155.
[10] 赵强强,洪军,刘志刚,等. 任意拓扑结构机床运动轴误差传递链建模方法[J]. 机械工程学报, 2016, 52(21):130-137. ZHAO Qiangqiang, HONG Jun, LIU Zhigang, et al. Modeling method on motive axes error transfer chain for machine tool of arbitrary topological structure[J]. Journal of Mechanical Engineering, 2016, 52(21):130-137.
[11] ZHU L, HE G, SONG Z. Improved quality prediction model for multistage machining process based on geometric constraint equation[J]. Chinese Journal of Mechanical Engineering, 2016, 29(2):430-438.
[12] LOOSE J P, ZHOU S, CEGLAREK D. Kinematic analysis of dimensional variation propagation for multistage machining processes with general fixture layouts[J]. IEEE transactions on Automation Science and Engineering, 2007, 4(2):141.
[13] 裘祖荣,石照耀,李岩. 机械制造领域测量技术的发展研究[J]. 机械工程学报, 2010, 48(14):1-11. QIU Zurong, SHI Zhaoyao, LI Yan. Research on the development of measurement technology mechanical manufacture[J]. Journal of Mechanical Engineering, 2010, 48(14):1-11.
[14] PAGE L, BRIN S, MOTWANI R, et al. The PageRank citation ranking:Bringing order to the web[EB/OL].[2012-05-13]. http://ilpubs.stanford.edu:8090/422/.
[15] 张琨,李配配,朱保平,等. 基于PageRank的有向加权复杂网络节点重要性评估方法[J]. 南京航空航天大学学报, 2013, 45(3):429-434. ZHANG Kun, LI Peipei, ZHU Baoping, et al. Evaluation method for node importance in directed-weighted complex networks based on PageRank[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2013, 45(3):429-434.
[16] BOCCALETTI S, LATORA V, MORENO Y, et al.Complex networks:Structure and dynamics[J]. Physics Reports, 2006, 424(4):175-308.
