基于数字孪生的总装车间质量智能管控决策应用技术
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国防基础科研项目(JCKY2020209B005)


Application Technology of Quality Intelligent Management and Control Decision in Final Assembly Workshop Based on Digital Twin
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    摘要:

    针对现场质量一致性不高、关键工装状态掌控难、综合效率低等问题,以总装自动化生产线为基础,利 用数字孪生技术研究基于数字孪生的总装车间质量智能管控决策。搭建基于数字孪生的某产品总装智能车间集成应 用总体架构,围绕变批量装配质量一致性管控技术、复杂工况下质量紧密相关的关键工装寿命预测技术等关键技术 进行阐述,设计产品装配过程的误差传递模型和关键工装的全生命周期的寿命孪生模型。结果表明:该技术实现了 生产过程质量一致性管控、关键工装寿命预测,形成精准、智能管控模式,促进产品装配质量管控从被动模式向自 主智能管控模式转变。

    Abstract:

    Aiming at the problems of low quality consistency, difficult control of key tooling status and low comprehensive efficiency, this paper studies the intelligent quality management and control decision-making of final assembly workshop based on digital twin technology on the basis of assembly automatic production line. The overall architecture of the integrated application of a product assembly intelligent workshop based on digital twin is built, and the key technologies such as the quality consistency management and control technology of variable batch assembly and the life prediction technology of key tooling closely related to quality under complex working conditions are described. The error transfer model of product assembly process and the life twin model of key tooling in the whole life cycle are designed. The results show that the technology realizes the consistency control of production process quality and the life prediction of key tooling, forms a precise and intelligent control mode, and promotes the transformation of product assembly quality control from passive mode to autonomous intelligent control mode.

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朱春明.基于数字孪生的总装车间质量智能管控决策应用技术[J].,2022,41(6).

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  • 收稿日期:2022-02-15
  • 最后修改日期:2022-03-28
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  • 在线发布日期: 2022-06-06
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