Mechanisms of synergistic regulation on friction and wear performance of SUS304 stainless steel by DLC coatings and laser-textured dimple morphologies

IF 6.1 2区 材料科学 Q1 MATERIALS SCIENCE, COATINGS & FILMS
Xin Zhang , Hanhan Yang , Jiashang Li
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Abstract

This study investigates the synergistic effects of diamond-like carbon (DLC) coatings and laser-processed bio-inspired microtextures in improving the tribological performance of SUS304 stainless steel. Four types of microtextures (hexagonal, rhombic, sectorial, and annular sector) were fabricated on substrate surfaces using laser processing technology, followed by deposition of DLC coatings via filtered arc vacuum coating technology (DCVA). Tribological ball-on-disk tests under varying normal loads (1, 3, 5, 7 N) revealed that surfaces combining bio-inspired microtextures with the DLC coating significantly enhanced tribological performance compared to untextured or uncoated surfaces. Specifically, the hexagonal microtexture/DLC coating surface exhibited the lowest and most stable coefficient of friction (COF) (0.17) along with minimal wear (depth 0.95 μm at a normal load of 7 N), outperforming other combinations. Finite element analysis (FEA) confirmed that this superiority stems from the symmetrical hexagonal geometry's superior ability to disperse contact stresses and inhibit crack propagation. In contrast, the rhombic microtexture/DLC coating showed pronounced stress concentration at sharp vertices under high loads, leading to increased COF fluctuations and accelerated wear. The DLC coating enhanced surface hardness, preventing material failure and maintaining microtexture integrity during sliding, while its self-lubricating properties reduced COF through graphitization and transfer film formation. These findings provide theoretical support for designing high-performance anti-friction/wear-resistant textured surfaces with DLC coatings and practical guidance for optimizing lubricated interfaces.

Abstract Image

DLC涂层与激光织构韧窝协同调节SUS304不锈钢摩擦磨损性能的机理
本研究探讨了类金刚石(DLC)涂层和激光加工仿生微纹理在改善SUS304不锈钢摩擦学性能方面的协同效应。采用激光加工技术在基板表面制备了四种微纹理(六角形、菱形、扇形和环形扇形),然后采用过滤弧真空镀膜技术(DCVA)沉积DLC涂层。在不同的正常载荷(1、3、5、7 N)下进行的摩擦学球盘测试表明,与未加纹理或未涂覆的表面相比,将仿生微纹理与DLC涂层结合在一起的表面显著提高了摩擦学性能。具体而言,六边形微纹理/DLC涂层表面表现出最低和最稳定的摩擦系数(COF)(0.17)以及最小的磨损(在7 N的正常载荷下深度为0.95 μm),优于其他组合。有限元分析(FEA)证实了这种优势源于对称六边形几何结构具有分散接触应力和抑制裂纹扩展的优越能力。相反,菱形微织体/DLC涂层在高载荷作用下在尖顶处表现出明显的应力集中,导致COF波动增加,磨损加速。DLC涂层提高了表面硬度,防止了材料失效,并在滑动过程中保持了微纹理的完整性,同时其自润滑性能通过石墨化和转移膜的形成减少了COF。这些发现为设计高性能DLC涂层的抗摩擦/耐磨织构表面提供了理论支持,并为优化润滑界面提供了实践指导。
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来源期刊
Surface & Coatings Technology
Surface & Coatings Technology 工程技术-材料科学:膜
CiteScore
10.00
自引率
11.10%
发文量
921
审稿时长
19 days
期刊介绍: Surface and Coatings Technology is an international archival journal publishing scientific papers on significant developments in surface and interface engineering to modify and improve the surface properties of materials for protection in demanding contact conditions or aggressive environments, or for enhanced functional performance. Contributions range from original scientific articles concerned with fundamental and applied aspects of research or direct applications of metallic, inorganic, organic and composite coatings, to invited reviews of current technology in specific areas. Papers submitted to this journal are expected to be in line with the following aspects in processes, and properties/performance: A. Processes: Physical and chemical vapour deposition techniques, thermal and plasma spraying, surface modification by directed energy techniques such as ion, electron and laser beams, thermo-chemical treatment, wet chemical and electrochemical processes such as plating, sol-gel coating, anodization, plasma electrolytic oxidation, etc., but excluding painting. B. Properties/performance: friction performance, wear resistance (e.g., abrasion, erosion, fretting, etc), corrosion and oxidation resistance, thermal protection, diffusion resistance, hydrophilicity/hydrophobicity, and properties relevant to smart materials behaviour and enhanced multifunctional performance for environmental, energy and medical applications, but excluding device aspects.
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