Pashmforoush Farzad, Rahimi Abdolreza, Kazemi Mehdi
Appl Opt. 2015 Oct 1;54(28):8275-81. doi: 10.1364/AO.54.008275.
Magnetic abrasive finishing (MAF) is one of the advanced machining processes efficiently used to finish hard-to-machine materials. Simulation and modeling of the process is of particular importance to understand the mechanics of material removal and consequently achieve a high-quality surface with a minimum of surface defects. Hence, in this paper, we performed a numerical-experimental study to mathematically model the surface roughness during the MAF of BK7 optical glass. For this purpose, the initial roughness profile was estimated using fast Fourier transform (FFT) and a Gaussian filter. We obtained the final surface profile based on the material removal mechanisms and the corresponding chipping depth values evaluated by finite element analysis. We then validated experimentally the simulation results in terms of the arithmetic average surface roughness (R(a ). The comparison between the obtained results demonstrates that the theoretical and experimental findings are in good agreement when predicting the parameters' effect on surface roughness behavior.
磁研磨加工（MAF）是一种先进的加工工艺，可有效用于加工难加工材料。对该工艺进行模拟和建模对于理解材料去除机理并因此以最少的表面缺陷实现高质量表面尤为重要。因此，在本文中，我们进行了一项数值实验研究，以对BK7光学玻璃磁研磨加工过程中的表面粗糙度进行数学建模。为此，使用快速傅里叶变换（FFT）和高斯滤波器估计初始粗糙度轮廓。我们基于材料去除机理和通过有限元分析评估的相应切屑深度值获得了最终表面轮廓。然后，我们通过算术平均表面粗糙度（R(a)）对模拟结果进行了实验验证。所得结果之间的比较表明，在预测参数对表面粗糙度行为的影响时，理论结果与实验结果吻合良好。
