Ren Yuan, Wang Liming, Ma Mingliang, Cheng Wei, Li Baoli, Lou Yuxin, Li Jianfeng, Ma Xinqiang
Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China.
National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, China.
Materials (Basel). 2022 Oct 27;15(21):7559. doi: 10.3390/ma15217559.
The parts of engineering machinery quickly generate rusty oxides in the working process, which seriously affects their service life and safety. How to remove oxides efficiently without damaging the surface of the matrix is a crucial problem. This paper analyzes the critical laser parameters that affect the distribution of material temperature field, which determines the ablation depth of different oxides, by using the central composite experimental design method and taking the surface-ablation depth of FeO and FeO before and after laser cleaning as response variables to establish the prediction model of single removal volume with the help of Comsol Multiphysics software. The results show a positive correlation between ablation depth and peak power density and a negative correlation with scanning speed. In this process, the experimental results show that the prediction model is natural and effective. A flow chart of laser stepwise cleaning of layered corroded oxides can provide theoretical guidance for the laser cleaning of engineering machinery.
工程机械部件在工作过程中会迅速产生锈氧化物，这严重影响其使用寿命和安全性。如何在不损坏基体表面的情况下高效去除氧化物是一个关键问题。本文采用中心复合实验设计方法，以激光清洗前后FeO和Fe₂O₃的表面烧蚀深度为响应变量，借助Comsol Multiphysics软件分析影响材料温度场分布的关键激光参数，该温度场决定了不同氧化物的烧蚀深度，从而建立单次去除量的预测模型。结果表明，烧蚀深度与峰值功率密度呈正相关，与扫描速度呈负相关。在此过程中，实验结果表明该预测模型合理有效。分层腐蚀氧化物的激光分步清洗流程图可为工程机械的激光清洗提供理论指导。
