Influence of Surface Texture Parameters on Friction Characteristics Under Starved Lubrication

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Shen Wu, Pan Zhang, Haijun Wei, L. Chen
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引用次数: 4

Abstract

Abstract A cylinder liner and piston ring running under starved lubrication near the top dead centre (TDC) and bottom dead centre (BDC) cause abnormal friction and wear during operation of a marine diesel engine. The method of laser texturing is proposed to improve the surface friction property under this condition. Spherical crown pits with different parameters were formed on the surface of samples by femtosecond laser processing. The BDC and TDC conditions of oil starvation were simulated in a reciprocating friction and wear experiment, and a numerical model of surface texture lubrication based on the Reynolds equation was established. The influence of the distribution density, diameter, and depth parameters of the texture on the surface properties was studied. In the BDC condition, compared with the untextured surface, the average coefficient of friction (COF) can be reduced by up to 24% and the average friction force can be reduced by up to 18%. In the TDC condition, the COF can be reduced by up to 19%, and the average friction force can be reduced by up to 18%. Therefore, the textures with various parameters should be arranged in different positions on the cylinder liner; more attention should be paid to the optimisation of diameter in the texture of the cylinder liner near the BDC, whereas more attention should be paid to the optimisation of distribution density in the texture of the cylinder liner near the TDC
表面结构参数对饥饿润滑下摩擦特性的影响
摘要船用柴油机在上止点(TDC)和下止点(BDC)附近,缸套和活塞环在缺乏润滑的情况下运行,会引起异常摩擦和磨损。为了改善这种条件下的表面摩擦性能,提出了激光纹理化的方法。通过飞秒激光加工,在样品表面形成了不同参数的球形冠坑。在往复摩擦磨损实验中模拟了缺油的下止点和上止点条件,建立了基于雷诺方程的表面织构润滑数值模型。研究了纹理的分布密度、直径和深度参数对表面性能的影响。在BDC条件下,与无纹理表面相比,平均摩擦系数(COF)可降低24%,平均摩擦力可降低18%。在TDC条件下,COF可降低19%,平均摩擦力可降低18%。因此,具有各种参数的纹理应排列在缸套上的不同位置;应更多地关注下止点附近气缸套结构中直径的优化,而应更多地注意上止点附近缸套结构中分布密度的优化
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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