Hybrid modeling for smart roller leveling in precision magnetic scale manufacturing

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.