Wang Ben, Zheng Minli, Zhang Wei
Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China.
Materials (Basel). 2020 Nov 10;13(22):5056. doi: 10.3390/ma13225056.
Surface roughness parameters are an important factor affecting surface wear resistance, but the relevance between the wear resistance and the surface roughness parameters has not been well studied. This paper based on the finite element simulation technology, through the grey incidence analysis (GIA) method to quantitatively study the relevance between the wear amount of per unit sliding distance (Δ) and the surface texture roughness parameters under dry friction conditions of the different surface topography. A zeroth order six-variables grey model, GM(0,6), for prediction the wear characteristic parameter Δ was established, and the experiment results verified that the prediction model was accurate and reasonable.
表面粗糙度参数是影响表面耐磨性的重要因素，但耐磨性与表面粗糙度参数之间的相关性尚未得到充分研究。本文基于有限元模拟技术，通过灰色关联分析（GIA）方法定量研究了不同表面形貌干摩擦条件下单位滑动距离磨损量（Δ）与表面纹理粗糙度参数之间的相关性。建立了用于预测磨损特征参数Δ的零阶六变量灰色模型GM(0,6)，实验结果验证了该预测模型准确合理。
