磁控溅射沉积Ni-DLC涂层摩擦磨损性能研究及预测  

Research and Prediction of Friction and Wear Properties of Magnetron Sputtering Deposition Ni-DLC Coatings

作　　者：石青松 徐红玉[1] 王晓强[1] Qingsong Shi;Hongyu Xu;Xiaoqiang Wang(School of Mechatronics Engineering,Henan University of Science and Technology,Luoyang Henan)

机构地区：[1]河南科技大学机电工程学院,河南洛阳

出　　处：《建模与仿真》2024年第4期4381-4394,共14页Modeling and Simulation

基　　金：国家自然科学基金项目[U1804145];国家重点研发计划[2018YFB2000405];国家重点研发计划[2022YFC2805702]。

摘　　要：为提高风电轴承的摩擦磨损性能、延长使用寿命,从而降低运维成本,以硬度、摩擦系数和磨损率为摩擦磨损性能的评价指标。在42GrMo钢基体使用非平衡磁控溅射沉积技术沉积Ni-DLC复合涂层,对复合涂层进行摩擦磨损实验和划痕实验,测试涂层的硬度、摩擦系数和磨损率,控制磁控溅射工艺参数研究其对评价指标的影响规律。基于正交实验,建立指数回归预测模型和BP神经网络预测模型,通过实验验证了指数回归预测模型具有较好的精度,可指导实际生产,具有一定的理论意义。In order to improve the friction and wear performance of wind power bearings,prolong the ser-vice life,and reduce the operation and maintenance costs,the hardness,friction coefficient and wear rate are the evaluation indicators of friction and wear performance.The non-equilibrium the 42GrMo steel matrix,and the friction and scratch tests were carried out on the composite coating to test the hardness,friction coefficient and wear rate of the coating,and the magnetron sputtering process parameters were controlled to study its influence on the evaluation index.Based on orthogonal experiments,the exponential regression prediction model and the BP neural network prediction model are established,and the exponential regression prediction model is ve-rified by experiments to have good accuracy,which can guide the actual production,which has certain theoretical significance.

关 键 词：磁控溅射 指数回归 摩擦磨损性能 Ni-DLC涂层 风电轴承 

分 类 号：TG1[金属学及工艺—金属学]