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Effect of process parameters on surface texture generated by laser polishing of additively manufactured Ti-6A1-4V

机译:工艺参数对增材制造的Ti-6A1-4V激光抛光产生的表面纹理的影响

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Although there have been numerous attempts to define how different laser polishing parameters affect the generated surface roughness, there has been no detailed investigation of how their effects can be combined to optimize the process. This paper applies statistical analysis to model and predict the resulting surface roughness for laser post-processing of components made of Ti-6A1-4V and produced by laser powder bed fusion. This model is based on analysis of a wide-ranging experimental programme investigating how the interaction of the governing parameters, i.e., laser power, number of repetitions, axial feed rate, scanning speed, and focal position, affected surface roughness. The experimental programme was the result of a robust Design of Experiments analysis and experimental analysis using ANOVA. It is expected that the outcomes will contribute towards the understanding of how the governing parameters influence the laser polishing process and final surface roughness, and would be a tool for optimizing their selection. The results of the ANOVA (analysis of variance) revealed that the most significant parameters are scanning speed followed by laser power and then axial feed rate. In addition, a clear tendency for the estimated Ra to decrease with the increase in laser power at lower values of axial feed rate and of scanning speed, and a focal position in the region of 2 mm. It is noted that the process parameters were varied over wide ranges, including extreme values, which made it difficult to accurately model the dependent variable over the full range of experimental trials.
机译:尽管已经进行了许多尝试来定义不同的激光抛光参数如何影响所产生的表面粗糙度,但是还没有详细研究如何将它们的效果结合起来以优化工艺。本文应用统计分析对通过激光粉末床熔融生产的Ti-6A1-4V制成的组件进行激光后处理来建模和预测最终的表面粗糙度。该模型基于对广泛实验程序的分析,该程序研究了控制参数(即激光功率,重复次数,轴向进给速率,扫描速度和焦点位置如何影响表面粗糙度)之间的相互作用。该实验程序是可靠的实验分析设计和使用ANOVA进行实验分析的结果。预期结果将有助于理解控制参数如何影响激光抛光过程和最终表面粗糙度,并将成为优化其选择的工具。方差分析(方差分析)的结果表明,最重要的参数是扫描速度,然后是激光功率,然后是轴向进给速度。此外,在较低的轴向进给速率和扫描速度以及焦点位置在2 mm左右时,随着激光功率的增加,估计的Ra会明显降低。要注意的是,过程参数在很大的范围内变化,包括极值,这使得很难在整个试验范围内准确地对因变量进行建模。

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