Effective Prediction of the Mechanical Properties of Glue-Laminated Motor Core with consideration of glue disposition and stacking factor.

This study presents a practical approach for predicting the mechanical properties of glue-laminated motor cores, with a particular focus on the influence of glue disposition patterns and coverage rate, to enable more accurate material modeling and reliable NVH and other general structural analysis. Since glue bonding and lamination stacking are essential for ensuring the structural integrity of motor stator cores, variations in glue implementation introduce significant changes in both in-plane and out-of-plane stiffness properties. To address this, a homogenization framework based on the unit-cell method, considering detailed glue application information, is employed. The laminated structure is idealized as an orthotropic material, and the variation of in-plane properties in different directions is considered. Unlike simplified coverage-rate models, the proposed method incorporates localized glue distribution patterns—such as teeth, core back iron, and edge-concentrated regions like the bolting areas—to quantify their effects on both elastic and shear moduli for both in-plane and out-of-plane conditions. Finite element simulations are performed to establish relationships between the glue distribution configuration, stacking factor, and the resulting equivalent material constants. These results are validated against experimentally correlated properties of production motor cores and closed-form theory solutions for simple scenarios. Excellent agreement is observed, confirming the method’s accuracy in capturing both global and localized mechanical behavior. Furthermore, the derived properties are applied to NVH simulations of an e-drive system under electromagnetic excitation, where the impact of different glue distribution patterns and coverage on vibration modes and acoustic responses is systematically evaluated. The findings demonstrate that uneven or patterned glue coverage can significantly impact NVH performance, underscoring the importance of accurate material modeling in early-stage motor design. This work provides a robust methodology for integrating glue distribution effects into predictive analysis models, thereby enhancing the reliability of NVH assessments for laminated motor cores.