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作 者:孙天宇 黄魁东[1,2] 杨富强 窦浩[1,2] 丁文宇 SUN Tianyu;HUANG Kuidong;YANG Fuqiang;DOU Hao;DING Wenyu(School of Mechanical Engineering,Northwestern Polytechnical University,Xi’an 710072,China;Key Laboratory of High Performance Manufacturing of Aero Engines,Ministry of Industry and Information Technology,Northwestern Polytechnical University,Xi’an 710072,China)
机构地区:[1]西北工业大学机电学院,陕西西安710072 [2]西北工业大学航空发动机高性能制造工信部重点实验室,陕西西安710072
出 处:《计算机集成制造系统》2024年第7期2251-2269,共19页Computer Integrated Manufacturing Systems
基 金:航空发动机及燃气轮机基础科学中心资助项目(P2022-B-IV-013-001);国家科技重大专项(J2019-Ⅶ-0013-0153);中国航空发动机集团产学研合作项目(HFZL2022CXY024);国家自然科学基金青年基金资助项目(52005415)。
摘 要:航空发动机结构件、汽车车身等复杂产品通常为多工序制造件,其制造过程中多种误差的产生和累积会对产品质量产生耦合影响,使产品质量控制处于暗箱状态。将误差流理论与精度控制理论、工程数据处理方法相结合,构建对误差的传递、累积、湮灭进行描述和分析的误差流模型对于多工序制造复杂产品质量控制具有重要意义。因此,总结和归纳了误差流模型的构建方法及其应用研究,提出了多工序制造的误差流模型质量控制总体框架,从小数据驱动的时间序列数学解析模型和大数据驱动的复杂网络统计分析模型两个方面对多工序制造的误差流模型进行了分类综述。最后,展望了误差流模型在高端装备和复杂产品等未来多工序制造领域中的发展趋势。Complex products are Multi-process Manufacturing Parts(MMP),such as aero-engine structural parts and automobile bodies.The product quality control in a dark state is caused by the coupling impact of the generation and accumulation of the various errors in the manufacturing process on product quality.Constructing Stream of variation(Sov)model to describe and analyze the transmission,accumulation and elimination by combining the Sov theory with precision control theory and engineering data processing methods is important to achieve quality control for the production of complex products in MMP.The application and other supplementary researches of Sov models were summarized,and the overall framework of quality control of Sov models for MMP was puts forward.The Sov models of MMP were classified from two aspects of small data-driven time series mathematical analysis models and big data-driven complex network statistical analysis models.The development trend of Sov models in the field of MMP of high-end equipment and complex products in the future was prospected.
分 类 号:TH164[机械工程—机械制造及自动化]
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