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好的磁力线可视化结果应该是空间中某点附近磁力线疏密能正确反映该点磁感应强度的大小,磁力线上任一点的切线方向和该点磁感应强度的方向一致.所以磁力线可视化需要能准确、合理地解决磁力线种子点的选取和磁力线的追踪问题.种子点是磁力线追踪的起始点,其选取原则是满足追踪得到的磁力线疏密能准确映射磁感应强度大小的要求.传统的种子点选取算法是基于实际数据的统计算法.本文提出了基于物理约束的等磁通量法和等磁通密度衰减法,并对两种方案进行了严格的数学推导,最后基于经典四阶龙格库塔法实现了磁力线追踪.实验得到了较满意的效果图.
A good magnetic line visualization results should be a point in space near the magnetic flux density can accurately reflect the point of the magnetic induction intensity of the magnetic line at any point of the tangential direction and the direction of the magnetic flux density so the magnetic line visualization needs to be accurate and reasonable solution The selection of the magnetic seed line and the tracking of the magnetic line.The seed point is the starting point of the magnetic line tracing.The principle of selection is to meet the requirement that the tracing of the magnetic flux density can accurately map the magnetic induction intensity.Traditional seed point selection algorithm is based on the actual data Of the statistical algorithm.In this paper, based on physical constraints such as flux and equal flux density attenuation method, and the two programs were strictly mathematical deduction, and finally based on the classical fourth-order Runge-Kutta method to achieve the magnetic line tracking. Get a more satisfactory renderings.