High-Efficiency Enrichment of Metallic Particles in Lubricating Oil Based on Filter-Free Acoustic Manipulation Chip.

IF 3.7 2区化学 Q2 CHEMISTRY, MULTIDISCIPLINARY

Langmuir Pub Date : 2024-11-18 DOI:10.1021/acs.langmuir.4c02884

Xiaolong Lu, Shuting Zhang, Xinhai Chen, Ying Wei, Long Cao, Bincheng Zhao, Jun Yin

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Abstract

Enrichment of metal particles in lubricating oil is a crucial pretreatment for wear debris analyses in applications of condition-based machinery maintenance. Current techniques using physical filter cleaning and magnetic attachment to enrich metal particles have limitations in terms of efficiency and selectivity. This work presents an innovative acoustic manipulation chip for efficiently enriching metallic particles from lubricating oil. The platform utilizes the hybrid acoustic forces to perform high throughput particle enrichment in microchannels, even in an intensive flow environment. Regarding the viscosity effect of lubricating oil, the temperature dependence upon the particle enrichment is explored, and the figure of merit is employed to quantify the enrichment performance from the captured microscopic images. Experimental results demonstrate the proposed platform shows great nonselectivity for enriching both magnetic and nonmagnetic particles. This method opens a new door for developing automatic filter-free pretreatment tools to perform efficient particle enrichment in lubricating oil, which have great potential in many application scenarios, such as advanced wear debris analyses, oil quality monitoring, etc.

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基于免滤波器声学操纵芯片的润滑油中金属颗粒高效富集技术。

润滑油中金属颗粒的富集是基于状态的机械维护应用中磨损碎片分析的重要预处理。目前使用物理过滤清洁和磁性附着来富集金属颗粒的技术在效率和选择性方面存在局限性。本研究提出了一种创新的声学操纵芯片，用于高效富集润滑油中的金属颗粒。该平台利用混合声学力在微通道中进行高通量颗粒富集，即使在高强度流动环境中也是如此。关于润滑油的粘度效应，探讨了颗粒富集的温度依赖性，并采用了功勋值来从捕获的显微图像量化富集性能。实验结果表明，所提议的平台在富集磁性和非磁性粒子方面都表现出了极大的非选择性。该方法为开发自动免滤器预处理工具打开了一扇新的大门，可对润滑油中的颗粒进行高效富集，在高级磨损碎片分析、油质监测等许多应用场景中具有巨大潜力。

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来源期刊

Langmuir 化学-材料科学：综合

CiteScore

6.50

自引率

10.30%

发文量

1464

审稿时长

2.1 months

期刊介绍： Langmuir is an interdisciplinary journal publishing articles in the following subject categories: Colloids: surfactants and self-assembly, dispersions, emulsions, foams Interfaces: adsorption, reactions, films, forces Biological Interfaces: biocolloids, biomolecular and biomimetic materials Materials: nano- and mesostructured materials, polymers, gels, liquid crystals Electrochemistry: interfacial charge transfer, charge transport, electrocatalysis, electrokinetic phenomena, bioelectrochemistry Devices and Applications: sensors, fluidics, patterning, catalysis, photonic crystals However, when high-impact, original work is submitted that does not fit within the above categories, decisions to accept or decline such papers will be based on one criteria: What Would Irving Do? Langmuir ranks #2 in citations out of 136 journals in the category of Physical Chemistry with 113,157 total citations. The journal received an Impact Factor of 4.384*. This journal is also indexed in the categories of Materials Science (ranked #1) and Multidisciplinary Chemistry (ranked #5).