On cutting parameters selection for plunge milling of heat-resistant-super-alloys based on precise cutting geometry

On cutting parameters selection for plunge milling of heat-resistant-super-alloys based on precise cutting geometry
复制标题

DOI:
10.1016/j.jmatprotec.2013.03.007
复制
发表时间:
2013-08
影响因子:
6.3
通讯作者:
K. Zhuang;Xiaoming Zhang;Dong Zhang;H. Ding
K. Zhuang;Xiaoming Zhang;Dong Zhang;H. Ding
中科院分区:
材料科学1区
文献类型:
--
作者:
K. Zhuang;Xiaoming Zhang;Dong Zhang;H. Ding

文献摘要

被引文献

相似文献

在插入式铣削操作中,刀具沿结构刚性最高的主轴方向进给,从而导致超高的切割效率。在加工高强度钢和耐热高温合金时,插入式铣削是粗/半粗加工中大量去除材料的最有效方法之一,被广泛应用。由于切削力和铣削稳定性对加工参数非常敏感,因此切削参数的选择在插齿加工过程中起着至关重要的作用。然而,研究人员和工程技术人员对这一问题的深入研究还不够。本文提出了一种新的基于更精确的插入式铣削几何形状的插入式铣削力预测模型。在该模型中,切屑厚度的计算既考虑了切割步长的影响,又考虑了径向切割宽度的影响。采用频域方法对加工过程的稳定性进行了估计。在对切削力和铣削稳定性进行预测的基础上,提出了切削力和铣削稳定性的优化策略。以双刀片耐热高温合金为例,对所建立的切削力和切削参数优化模型进行了验证。
In plunge milling operation the tool is fed in the direction of the spindle axis which has the highest structural rigidity, leading to the excess high cutting efficiency. Plunge milling operation is one of the most effective methods and widely used for mass material removal in rough/semi-rough process while machining high strength steel and heat-resistant-super-alloys. Cutting parameters selection plays great role in plunge milling process since the cutting force as well as the milling stability lobe is sensitive to the machining parameters. However, the intensive studies of this issue are insufficient by researchers and engineers. In this paper a new cutting model is developed to predict the plunge milling force based on the more precise plunge milling geometry. In this model, the step of cut as well as radial cutting width is taken into account for chip thickness calculation. Frequency domain method is employed to estimate the stability of the machining process. Based on the prediction of the cutting force and milling stability, we present a strategy to optimize the cutting parameters of plunge milling process. Cutting tests of heat-resistant-super-alloys with double inserts are conducted to validate the developed cutting force and cutting parameters optimization models.