Kinematic and stochastic surface topography of workpiece made of Al7075 in flank milling

Kinematic and stochastic surface topography of workpiece made of Al7075 in flank milling
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Al7075 工件侧面铣削运动和随机表面形貌

DOI:
10.1007/s00170-018-1709-3
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发表时间:
2018-02
影响因子:
3.4
通讯作者:
liu zhibing
liu zhibing
中科院分区:
工程技术3区
文献类型:
--
作者:
zhao ke;liu zhibing

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本文给出了一种基于Al7075实验数据的侧向铣削表面形貌预测方法。首先,利用Dexel模型对加工表面的运动形貌进行了分析。然后,用四分布矩高斯分布来描述测量的随机地形,并用二次回归对其进行拟合。将Abbott曲线应用于伪随机数生成,生成模拟的随机地形。最后,通过材料去除模拟(MRS)计算了运动地形和随机地形的组合,并将其用于预测实际测量的地形。结果表明,随机形貌的粗糙度随着每齿进给量和切割深度的增加而增大,在所提出的方法中,组合后的形貌与测量结果基本吻合。
In this paper, a method is given to predict the surface topography in flank milling based on the experiment data of Al7075. First, the kinematic topography of the machined surface is analyzed with dexel model by CutS. Then, the measured stochastic topography is described by four-distribution-moment Gaussian distribution and quadratic regression is used to fit the values. Abbott curve is applied in pseudo random number generation to create the simulated stochastic topography. Finally, the combination of the kinematic and stochastic topography is calculated by material removal simulations (MRS) and is used to predict the real measured topography. The results show that the roughness of the stochastic topography increases with an increased feed per tooth and depth of cut, and the combined topography mostly matches to the measured one within the proposed method.
DOI: 10.1016/j.procir.2015.03.049
发表时间: 2015
期刊: Procedia CIRP
影响因子: --
作者:
B. Denkena;V. Böß;D. Nespor;Philipp Gilge;S. Hohenstein;J. Seume
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