A time based method for predicting the workpiece surface micro-topography under pulsed laser ablation

A time based method for predicting the workpiece surface micro-topography under pulsed laser ablation
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DOI:
10.1016/j.jmatprotec.2014.07.008
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发表时间:
2014-12-01
影响因子:
6.3
通讯作者:
Kell, J.
Kell, J.
中科院分区:
材料科学1区
文献类型:
--
作者:
Gilbert, D.;Stoesslein, M.;Kell, J.

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利用脉冲激光烧蚀以可预测和可重复的方式产生微观特征需要了解激光在工件表面上的时间和能量分布。对材料对脉冲激光烧蚀过程的已知能量和运动学参数的响应可以以离散的基于时间的方法进行建模,从而允许以数学方式模拟工件的表面形貌以反映真实的过程。考虑先前的工件表面纹理,例如由于表面梯度而导致的照射面积的增加,以及由于在整个工件的仰角上的光束发散而导致的激光光斑尺寸的增大,被用来预测能量密度以及由此产生的目标表面的烧蚀深度和纹理。用一台完全校准的Yb:YAG脉冲光纤激光器(SPI G3.0 RM)在三种材料上验证了该模型,突出了不同材料类型下的模型强度。结果表明,在激光烧蚀条件下,镍基试件出现了再沉积现象。为了在不再沉积的情况下分析该模型,对不存在这种副作用的材料进行了验证试验,如钻石,发现差异高达9.39%。(C)2014年提交人。爱思唯尔出版公司(Elsevier B.V.)
The generation of micro-features in a predictable and repeatable manner by use of pulsed laser ablation requires an understanding of the temporal and energetic distributions of the laser beam upon the workpiece surface. Modelling the response of the material to known energetic and kinematic parameters of the pulsed laser ablation process can be carried out in a discretised time-based approach, allowing the workpiece topography to be simulated mathematically to reflect a real-life process. Considerations of the antecedent workpiece surface texture such as increases in irradiated area due to the surface gradient, and increases in laser spot size due to beam divergence throughout the elevation of the workpiece are used to predict energy densities and hence the resultant ablated depth and texture of the targeted surfaces. A fully calibrated Yb:YAG pulsed fibre laser (SPI G3.0 RM) was used to validate the model on three materials, highlighting the models strengths for different material types. It was found that Ni based workpieces presented redeposition phenomena under these laser ablation conditions. To analyse the model without redeposition, validations trials on materials that do not present such side effects, e.g. diamond, were carried out and differences were found to be up to 9.39%. (C) 2014 The Authors. Published by Elsevier B.V.