Investigation on cutting edge preparation and FEM assisted optimization of the cutting edge micro shape for machining of nickel-base alloy

Investigation on cutting edge preparation and FEM assisted optimization of the cutting edge micro shape for machining of nickel-base alloy
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DOI:
10.1007/s11740-019-00900-8
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发表时间:
2019-06-01
影响因子:
1.7
通讯作者:
Biermann, D.
Biermann, D.
中科院分区:
其他
文献类型:
--
作者:
Tiffe, M.;Assmuth, R.;Biermann, D.

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切削刀具的生产率和刀具寿命主要受切削刃微观形状的影响。优化切削刃的识别通常基于经验知识或在迭代研究步骤中进行。本文提出了一种借助切屑形成的有限元模拟来预测最佳切削刃微观形状的方法。该方法针对镍基合金 Inconel 718 的加工进行了研究。切削刃通过加压空气湿式磨料喷射加工制备。利用这种方法,制备的切削刃具有一定的轮廓,可以在建模时考虑。通过应用刀具磨损模型,可以估计切削刃微观形状对刀具寿命的影响。随后,统计建模提供了对研究范围内任何可能的参数集的刀具磨损率的预测。这用于找到优化的切削刃轮廓,最大限度地减少刀具磨损。实验研究总结了优化过程。
The productivity and the tool life of cutting tools are majorly influenced by the cutting edge micro shape. The identification of optimized cutting edges is usually based on empirical knowledge or is carried out in iterative investigation steps. This paper presents an approach to predict optimal cutting edge micro shapes with the aid of finite-element-simulations of the chip formation. The approach is investigated for the machining of the nickel-base alloy Inconel 718. The cutting edges are prepared by pressurized air wet abrasive jet machining. Utilizing this method, the prepared cutting edges have a certain profile, which is considered for the modelling. By applying a model for tool wear the influence of the cutting edge micro shape on the tool life span is estimated. Subsequently, a statistical modelling provides the prediction of the tool wear rate for any possible parameter set within the investigated range. This is used to find an optimized cutting edge profile that minimizes the tool wear. An experimental investigation concludes the optimization procedure.