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

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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Publication Details

Journal
Langmuir
Published
2024-11-19
DOI
https://doi.org/10.1021/acs.langmuir.4c02884
Citations
2
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
0.37

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article

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

Jun Yin, Xinhai Chen, Shuting Zhang, Ying Wei et al.
2 citations
Langmuir
Microfluidic and Bio-sensing Technologies
0.37
article

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

Jun Yin, Xinhai Chen, Shuting Zhang, Ying Wei, Xiaolong Lu, Bincheng Zhao, Long Cao
article en
2 citations

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.

LangmuirVol. 40(48)
Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Qinglan Project of Jiangsu Province of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 42%
Microfluidic and Bio-sensing Technologies
0.37
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