Predicting indoor deposited particle resuspension with a new probabilistic model based on Markov chain and turbulent burst

Mei, Xianxiu; Gong, Gwo‐Ching; Xu, Chunwen; Zeng, Chenni

doi:10.1080/02786826.2021.2003749

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…Sci. 2022, 12, x FOR PEER REVIEW 2 of 16 also settle on surfaces in the workshop to form sedimentary contamination [7]. This kind of surface oil contamination presents challenges to the normal operation of machines [11,12].…”

Section: Of 16mentioning

confidence: 99%

“…Particles with a diameter of fewer than 10 µm can stay in the air for a long time and thus are regarded as suspended particles; these pollutants easily enter the respiratory system and seriously endanger human health [4,5]. Studies have shown that suspended oil droplets can pass through the respiratory tract to reach and be deposited in the lungs [6,7]. Long-term exposure to suspended particles can cause respiratory diseases, such as sinusitis, asthma, and hoarseness of the throat [8,9], and it may even lead to kidney cancer [10].…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, anatomized MWFs are thrown off the inner wall of machines along with the rotation of turning tools to form surface-adhering oil contamination. Large-size droplets in the air also settle on surfaces in the workshop to form sedimentary contamination [7]. This kind of surface oil contamination presents challenges to the normal operation of machines [11,12].…”

Section: Introductionmentioning

confidence: 99%

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Cross-Regional Dynamic Transfer Characteristics of Liquid Oil Contamination Induced by Random Contact in Machining Workshops in Shanghai, China

et al. 2022

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In industrial sites, the movement and contact behaviors of workers are random, but their frequency and statistical characteristics can be determined. Particularly in machining workshops, metalworking fluids (MWFs) cause liquid oil contamination on the processed workpieces, and the contamination spreads to the entire workshop given the random contact of workers or the handling of workpieces. This study proposes a contact transmission model based on the Markov chain to quantify oil contamination transfer. First, the transfer efficiency between the glove and the workpiece, which is regarded as a key model parameter in this research, was determined through experiments. The model was used to characterize and predict the spread of oil contamination across different regions, including production and assembly areas. Specifically, the oil contamination concentrations on workbench surfaces in seven locations of a machining workshop in Shanghai GKN HUAYU Driveline Systems Co., Ltd. (SDS) were measured on-site. Findings showed that the model could feasibly depict the transfer process of oil contamination across different surfaces. Then, the variation law of oil contamination concentration on the workbench surfaces over time was analyzed, the oil contamination distribution map of the entire workshop plane was drawn, and the effectiveness of two cleaning measures to reduce oil contamination concentrations was compared. The proposed contact transmission model offers a basis for identifying highly polluted surfaces in machining workshops and controlling the spread of liquid oil contamination.

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Section: Of 16mentioning

confidence: 99%