Synthesis of Stability Lobe Diagrams
Synthesis of Stability Lobe Diagrams
复制标题
稳定性波瓣图的合成
DOI：
10.1007/978-3-642-32448-2_10
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发表时间：
2013
影响因子：
14
通讯作者：
Michael Löser
中科院分区：
文献类型：
--
作者：
K. Großmann;Michael Löser
机加工过程中的颤振会导致工件表面质量差，并增加刀具磨损。在最坏的情况下，刀具甚至主轴可能会损坏。目前，表面再生被认为是引起颤振不稳定性的主要因素。再生颤振是由重复的齿啮合引发的，其中当前啮合的齿切割由前一个齿产生的表面。在稳定性叶瓣图（SLD）中，稳定区域和不稳定区域由临界切削参数相对于主轴速度的曲线图分开。稳定性叶瓣图可用于优化加工工艺，在稳定的切削条件下最大限度地提高材料去除率。这些SLD是通过时域仿真计算的。然而，这消耗了大量的计算时间。因此，在过去的几十年中，已经开发了离散时间和频域中的几种时间有效的算法。本章详细讨论了在什么条件下可以应用频域中的不同算法。根据切削条件和动态行为将过程分开，以便为每个类别选择最省时的算法。
Chatter vibrations during machining lead to poor workpiece surfaces and increased tool wear. In the worst case, the tools and even the main spindle can be damaged. Nowadays, the surface regeneration is considered to be the main effect causing chatter instabilities. Regenerative chatter is initiated by repetitive tooth engagement where the currently engaged tooth cuts the surface produced by the preceding tooth. In a stability lobe diagram (SLD), the stable and unstable areas are separated by the graph of a critical cutting parameter plotted against the spindle speed. Stability lobe diagrams can be used to optimize machining processes in terms of maximizing material removal rate under stable cutting conditions. These SLDs are computed by time domain simulations. However, this consumes a lot of computational time. Thus, several time efficient algorithms in discrete time as well as frequency domain have been developed in the last decades. This chapter scrutinizes under what conditions different algorithms in frequency domain can be applied. The processes are separated regarding cutting conditions and dynamic behavior so that the most time efficient algorithm can be chosen for each class.