基于Abaqus的防滑差速器壳体静力学分析

为获得某款防滑差速器壳体在实际工况中的具体力学特性,基于有限元分析法对某四驱汽车防滑差速器壳体进行设计分析。首先,在Abaqus软件中建立防滑差速器壳体的有限元分析模型。接着,利用Romax软件进行防滑差速器壳体在两种极限工况下的轴承受力分析,同时设立更为精确的边界条件和载荷,从而进行应力、应变和疲劳分析。分析结果表明该防滑差速器壳体在极限工况下位移量较大,需要进行优化设计。结合静力学分析结果,以壳体加强筋的长度和厚度为优化变量,对防滑差速器壳体进行优化设计,通过优化前后对比分析,发现优化后壳体在各种工况下的应力和应变均显著降低,符合设计要求。采用软件仿真进行轴承受力分析有效地避免了繁琐的理论计算,同时使得分析方法更加简单,分析结果更贴合实际。另外,有限元分析方法也大幅缩短了防滑差速器壳体的研发周期与设计成本。

Static Analysis for Limited Slip Differential Based on Abaqus Software

In order to improve the global search power of the K-means algorithm and the clustering effect, the K-means method based on the approximate backbone and the shuffled frog leaping algorithm is proposed. Firstly, in this method, the classic iterative formula of the K-means algorithm is replaced by the classic shuffled frog leaping algorithm to obtain multiple sets of better clustering results. Then, the K-means algorithm based on the approximate backbone and the shuffled frog leaping algorithm is used for the obtained clustering results. Instead of searching for cluster centers, the cluster division is directly modified. The experimental results of the UCI dataset reveal that the clustering results obtained by the improved algorithm are better than those of other algorithms. Finally, this study applies the improved clustering algorithm to the medical fundus medical records images, which has a better effect on the vascular cutting.