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Optimization of bionic textured parameter to improve the tribological performance of AISI 4140 self-lubricating composite through response surface methodology
Tribology International ( IF 6.2 ) Pub Date : 2021-05-24 , DOI: 10.1016/j.triboint.2021.107104
Qipeng Huang , Xiaoliang Shi , Yawen Xue , Kaipeng Zhang , Chaohua Wu

Inspired by microstructures on tree frog surface, this article designs bionic micro-texture combined with solid lubrication SnAgCu to improve the tribological properties of AISI 4140 steel. The optimized bionic texture parameters are obtained by RSM. Tribological tests were carried out on Optimal Test (OT), Optimal Prediction (OP) and Control Group (CG). Compared with OT, the discontinuous layer phenomenon on wear track of OP is significantly reduced, lubricant content is increased, and numbers of pits near the textures are reduced. A uniform thickness of 2.4 µm lubricating film was formed on worn surface of OP, and the film was well bonded with substrate. Consequently, optimizing the micro-texture by RSM can significantly improve the tribological properties of AISI 4140 steel.



中文翻译:

通过仿生面方法优化仿生纹理参数以改善AISI 4140自润滑复合材料的摩擦学性能

受树蛙表面微观结构的启发,本文设计了结合固体润滑SnAgCu的仿生微织构,以改善AISI 4140钢的摩擦学性能。优化的仿生纹理参数是通过RSM获得的。在最佳测试(OT),最佳预测(OP)和对照组(CG)上进行了摩擦学测试。与OT相比,OP的磨损轨迹上的不连续层现象显着减少,润滑剂含量增加,并且织构附近的凹坑数量减少。在OP的磨损表面上形成均匀厚度为2.4 µm的润滑膜,并且该膜与基底良好粘合。因此,通过RSM优化微观组织可以显着改善AISI 4140钢的摩擦学性能。

更新日期:2021-05-27
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