Abstract：
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 Fe2O3 and Fe3O4 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.
摘要：
工程机械的零件在工作过程中迅速产生生锈的氧化物，严重影响其使用寿命和安全。如何有效地去除氧化物而不破坏基体表面是一个至关重要的问题。本文分析了影响材料温度场分布的关键激光参数,这决定了不同氧化物的烧蚀深度，采用中心复合实验设计方法，以激光清洗前后Fe2O3和Fe3O4的表面烧蚀深度为响应变量，借助ComsolMultiphysics软件，建立了单次去除量的预测模型。结果表明，消融深度与峰值功率密度呈正相关，与扫描速度呈负相关。在这个过程中,实验结果表明,该预测模型是自然有效的。层状腐蚀氧化物的激光逐步清洗流程可为工程机械的激光清洗提供理论指导。
