数模融合驱动的阀门关键件加工质量动态管控方法

Dynamic optimization of valve machining quality via digital-model fusion

  • 摘要: 针对阀门制造过程模型查重构效率低、动态响应能力弱及虚实交互性能差等问题,提出一种数模融合驱动的阀门加工质量动态管控方法。通过构建基于几何、逻辑、机理和工艺的四维度阀门制造数字孪生模型,实现制造过程与虚拟模型间的双向映射。创建基于工步节点的加工误差补偿模型,利用动态时间规整算法,提出数据与模型融合驱动的非线性误差补偿方法。以某阀门阀套制造为例进行实验验证,结果表明,经误差补偿后该零件尺寸精度提升了44.82%。该方法实现了阀门加工质量的实时监控与误差自适应补偿。

     

    Abstract: To address the issues of low model reconstruction efficiency, weak dynamic response, and poor virtual-real interaction in valve manufacturing processes, a dynamic control method for valve machining quality driven by digital-model fusion is proposed. A four-dimensional digital twin model of valve manufacturing is constructed based on geometry, logic, mechanism, and process, which enables bidirectional mapping between the physical manufacturing process and the virtual model. A machining error compensation model based on step nodes is established, and a nonlinear error compensation method driven by data-model fusion is developed using the dynamic time warping algorithm. Experimental verification is performed on a valve sleeve manufacturing case, and the dimensional accuracy of the part is improved by 44.82% after error compensation. The results indicate that real-time monitoring of valve machining quality and adaptive error compensation are achieved.

     

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