材料科学
抛光
表面粗糙度
田口方法
等离子体
功率密度
表面光洁度
冶金
正交数组
下降(电信)
实验设计
响应面法
复合材料
功率(物理)
机械工程
数学
量子力学
机器学习
工程类
计算机科学
物理
统计
作者
C Srinivasa,Suyog Jhavar,R. Suresh
标识
DOI:10.24425/amm.2024.147812
摘要
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.
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