基于数字孪生的过盈配合组件装配质量监测方法

Assembly quality monitoring method of interference fit components based on digital twin

  • 摘要:
      目的  针对过盈配合组件装配质量难以控制的问题,提出一种基于数字孪生的过盈配合组件装配质量监测方法。
      方法  结合数字孪生技术,构建过盈配合组件装配质量监测系统框架;综合分析实际装配过程,设计基于压装力的装配过程实时监测流程;结合压装过程中压装力历史数据,建立了基于Markov的压装力状态预测模型。综合比较理论压装力、实际压装力以及压装力预测状态,实现过盈配合组件装配质量的综合判断。
      结果  以典型船用行星减速器输出轴与太阳轮过盈配合为例进行验证,验证结果表明,该方法可实现在装配过程中关键点压装力的实时采集和监测,预测未来质量特征点的压装力状态,同时,实验结果与模型预测结果具有一致性。
      结论  以数字孪生为基础监测过盈配合组件装配质量的方法是有效可行的,研究结果对机械产品智能化装配过程中质量监测的实现具有重要参考意义。

     

    Abstract:
      Objective   Aiming at the problem that the assembly quality of interference fit components is difficult to control, a method for monitoring the assembly quality of such components based on digital twin technology is proposed.
      Methods   Combined with digital twin technology, the framework of an assembly quality monitoring system for interference fit components is constructed; the actual assembly process is comprehensively analyzed and a real-time monitoring process of the assembly process based on the press-fitting force is designed; and a state prediction model of the press-fitting force based on the Markov model is established, and a comprehensive judgment of the assembly quality of the interference fit components is realized by the comprehensive comparison of theoretical press-fitting force, actual press-fitting force and press-fitting force prediction state.
      Results   The interference fit between the output shaft and sun gear of a typical marine planetary reducer is used as an example for verification. The results show that this method can realize the real-time collection and monitoring of the press-fitting force at key points in the assembly process and predict the future quality characteristics of the point. At the same time, the experimental results of the physical assembly platform are compared with the model prediction results, and it is found that the two are consistent, which proves that the proposed method of monitoring the assembly quality of interference fit components based on digital twin technology is effective and feasible.
      Conclusion  The results of this study have important reference significance for the realization of quality monitoring in the process of the intelligent assembly of mechanical products.

     

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