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Efficacy improvement technique of air-filtration unit affected by biofouling using electroless Ni-Cu-P coating

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Title Efficacy improvement technique of air-filtration unit affected by biofouling using electroless Ni-Cu-P coating
 
Creator Ghosh, Niloy
De, Jhumpa
Chowdhury, Amit Roy
 
Subject Activated charcoal coating
Air filter
Electroless Ni-Cu-P coating
Natural Luffa filter
 
Description 702-709
Moisture from ar is often responsible for biofouling and corrosion on the inner walls of the air filtration system and there
by affecting the bacteria colony forming units (CFU Count). This phenomenon is more prevalent in humid environment.
Applying electroless Nickel-Copper-Phosphorous (Ni-Cu-P) coating on mild steel helps to prevent bio fouling. An air
filtration unit with inner walls coated with nano-TiO2 and inlet filter mesh made of Luffa and coated activated charcoal and
zeolite is used in the experimentation process. The inner chamber is also radiated by band C of Ultraviolet sources (UVC)
with 254 nm wavelength. A sudden spike in bacteria colony count has been observed as the air filtration unit remains in off
mode for prolonged duration of time. The efficacy of the air filtration unit upon remaining in off- mode for a long time has
been determined in the present work considering the bacterial colony count as response. Electroless Ni-Cu-P coating has
been applied at selected locations previously affected by biofouling. A predictive model has been developed following
response surface methodology using bacterial colony count as response and the composition of the electroless coating bath
as the process parameters. Genetic algorithm was applied for the determination of the best possible constitution of chemical
coating bath for the minimization of the bacterial colony count. Bacteria Colony formation was significantly affected by the
sources of Nickel ion, Copper ion and the concentration of reducing agent in the electroless Ni-Cu-P coating bath. The
confirmation run showed that the observed CFU count at the optimum condition converges with the data obtained from
Genetic Algorithm.
 
Date 2024-09-13T11:53:24Z
2024-09-13T11:53:24Z
2024-09
 
Type Article
 
Identifier 0975-0991 (Online); 0971-457X (Print)
http://nopr.niscpr.res.in/handle/123456789/64535
https://doi.org/10.56042/ijct.v31i5.10898
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source IJCT Vol.31(5) [September 2024]