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Hybrid modeling for smart roller leveling in precision magnetic scale manufacturing
Journal of Mechanical Science and Technology ( IF 1.5 ) Pub Date : 2021-04-20 , DOI: 10.1007/s12206-021-0407-5
Brian Chen , Jen-Yuan Chang

In smart manufacturing, machines are interconnected through cyber physical system (CPS) to achieve efficient manufacturing production. Manufacturing efficiency of precision magnetic scale has surfaced as an inevitable challenge. The manufacturing of precision magnetic scale requires precise flatness throughout production and handling processes. In the current technological shortcomings in magnetic scale manufacturing, any flatness defects in the scale would substantially influence its position sensing accuracy. Thus, the goal of this research is to develop and examine a hybrid mechanics model to ensure the scale’s flatness in manufacturing. This model is validated that accurate roller setting can be obtained prior to machine operation, which can significantly improve manufacturing efficiency. In this work, the proposed hybrid mechanics model is performed, validated, and compared to experimental and factory recommended results. The results have demonstrated its capability in predicting optimal leveling roller settings under given conditions, suggesting the possibility of smart manufacturing for magnetic scales.



中文翻译:

用于精密磁尺制造中的智能辊校平的混合建模

在智能制造中,机器通过网络物理系统(CPS)互连以实现高效的制造生产。精密磁尺的制造效率已成为不可避免的挑战。精密磁尺的制造需要在整个生产和处理过程中保持精确的平面度。在磁尺制造中的当前技术缺陷中,秤中的任何平整度缺陷都将实质性地影响其位置感测精度。因此,本研究的目的是开发和检验一种混合力学模型,以确保制造过程中秤的平整度。该模型经过验证,可以在机器运行之前获得准确的滚轮设置,从而可以显着提高制造效率。在这项工作中,建议的混合力学模型已执行,验证并与实验和工厂推荐的结果进行了比较。结果证明了其在给定条件下预测最佳校平辊设置的能力,这暗示了磁尺智能制造的可能性。

更新日期:2021-04-20
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