论文标题
通过外部磁场在粉末中细磁颗粒的机械方向：基于仿真的优化
Mechanical orientation of fine magnetic particles in powders by an external magnetic field: simulation-based optimization
论文作者
论文摘要
我们提出了一种数值算法，用于预测使用外部应用场在压实过程中致密粉末有效比对的最佳条件。由于纳米复合晶粒各向异性轴的比对增加了磁性材料的re恤和固定性，因此该任务对于永久磁铁的发育尤为重要。与以前已知的方法相比，假定每个粒子的磁矩相对于粒子本身是固定的，我们的方法考虑了（依赖于场的）偏离粒子各向异性轴的偏差，即使在具有磁性的“硬”颗粒上具有强烈的机械接触。我们表明，这种偏差导致存在粒子方向（或对齐时间）时间最小的应用场的最佳值。还研究了外部压力和内部机械摩擦对紧凑/取向过程细节的影响。
We present a numerical algorithm for predicting the optimal conditions for the effective alignment of magnetic particles in dense powders during the compactization process using an externally applied field. This task is especially important for the permanent magnets development due to the fact that alignment of anisotropy axes of nanocomposite grains increases both remanence and coercivity of magnetic materials. In contrast to previously known methods where magnetic moment of each particle was assumed to be 'fixed' with respect to the particle itself, our approach takes into account the (field-dependent) deviation of this moment from the particle anisotropy axis that occurs even for magnetically 'hard' particles possessing a strong mechanical contact. We show, that this deviation leads to the existence of the optimal value of the applied field for which the particle orientation (or alignment) time is minimal. The influence of the external pressure and internal mechanical friction on the details of the compactization/orientation process is also studied.
