材料科学
表面粗糙度
机械加工
沟槽(工程)
响应面法
复合材料
飞秒
激光器
激光功率缩放
表面光洁度
陶瓷
碳化硅
体积热力学
实验设计
光学
计算机科学
统计
冶金
物理
数学
量子力学
机器学习
作者
Tianrui Hu,Songmei Yuan,Jiayong Wei,Yongyong Liu,Zikang Zhang
标识
DOI:10.1016/j.ceramint.2023.10.262
摘要
This study applied femtosecond laser processing technology to prepare microgrooves on the surface of SiC/SiC ceramic matrix composites (CMCs). The corresponding parameter ranges for response surface optimization were determined through single-factor experiments. Additionally, four quadratic regression models were established to predict surface roughness, groove width, groove depth, and volume material removal rate. The Analysis of Variance (ANOVA) revealed that the developed model was reliable. Additionally, the study investigated the effects of laser parameters such as power, scanning speed, and defocusing amount, as well as their interactions, on various outcome measures, including the roughness average (Ra), groove width, groove depth, and volume material removal rate (VRR). To optimize the process parameters, the response surface method was employed to achieve maximum VRR and minimum Ra. After conducting the analysis, the optimal processing parameters were determined to be a laser power of 36 W, a scanning speed of 24 mm/s, and a defocusing amount of −1.17 mm. The developed model accurately predicts groove depth, width, volume material removal rate, and surface roughness in SiC/SiC-CMCs processing. The relative deviations between the actual and expected values fall within the acceptable range, affirming model's reliability. This indicates that the model improves precision in predicting these parameters for SiC/SiC-CMCs processing. The findings of this study have significant implications for improving the processing quality and efficiency of SiC/SiC-CMCs and establishing a relationship between processing parameters and responses. These insights can inform future research efforts to optimize these complex materials' manufacturing processes.
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