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引用次数: 0
摘要
该研究旨在利用统计分析优化 316L 不锈钢部件的等离子体束抛光工艺,以减少各向异性和不良的表面粗糙度。实验设计研究了管理因素对表面粗糙度的影响,其中扫描速度的影响最大,其次是束流功率和能量密度。对于较低的等离子体能量密度和扫描速度值,以及金属表面无变化的焦点位置,随着激光功率的增加,估计的 Ra 值有下降的趋势。工艺参数在很大的数值范围内发生变化,因此在整个实验范围内建立因变量模型具有挑战性。这项研究证明了 PBP 作为增材制造部件后处理方法的潜力。
Optimization of Surface Finish of Plasma Metal Deposited Stainless Steel 316L Parts by Utilization of Plasma Beam Remelting (PBR) and Taguchi Methodology
The study aimed to optimize the Plasma Beam Polishing process for 316L stainless steel components to reduce anisotropy and poor surface roughness using statistical analysis. An experimental design investigated the impacts of managing factors on surface roughness, with scanning speed having the ultimate impact, followed by beam power and energy density. For lower values of plasma energy density and scanning speed, and a focal location without changes on the metal surface, there was a strong tendency for the estimated Ra to drop with increasing laser power. The process parameters were changed throughout a broad range of values, making it challenging to model the dependent variable across the whole range of experimental trials. The study supports the potential of PBP as a post-processing method for additive manufacturing components.
期刊介绍:
The Archives of Metallurgy and Materials is covered in the following Institute for Scientific Information products: SciSearch (the Science Citation Index - Expanded), Research Alert, Materials Science Citation Index, and Current Contents / Engineering, Computing and Technology.
Articles published in the Archives of Metallurgy and Materials are also indexed or abstracted by Cambridge Scientific Abstracts.