Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (2)

Search Parameters:
Keywords = mycelial filler

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
20 pages, 19552 KiB  
Article
Investigation of the Use of Mycelial Filler with Different Cultivation Times for the Filtration of Particulate Airflow
by Aleksandras Chlebnikovas, Matas Gavenauskas, Jurga Motiejūnaitė, Raimondas Jasevičius and Vaidotas Vaišis
Processes 2024, 12(8), 1545; https://doi.org/10.3390/pr12081545 - 23 Jul 2024
Viewed by 1795
Abstract
Balanced and sustainable development has challenges in utilizing the best efficiency technologies, using new types of materials with reduced environmental impact, including composite types, reusable materials, and easily recyclable consumer adaptable products. One understudied biologically produced material is mycelium, the scientifically studied and [...] Read more.
Balanced and sustainable development has challenges in utilizing the best efficiency technologies, using new types of materials with reduced environmental impact, including composite types, reusable materials, and easily recyclable consumer adaptable products. One understudied biologically produced material is mycelium, the scientifically studied and improved cultivation of which produces an environmentally friendly material with unique properties with a wide range of applications. In this work, filtration fillers from mycelia of different cultivation periods and their abilities to filter airflow from solid particles were experimentally studied. Numerical modeling studied the interaction and trapping of particles in the flow with the surface of mycelium filters. The results of the research revealed a high airflow filtration efficiency of more than 91%, as well as differences and advantages in the properties and structure of mycelia of different growth periods, and the need for further study of this biomaterial. Full article
(This article belongs to the Section Particle Processes)
Show Figures

Figure 1

16 pages, 5757 KiB  
Article
Numerical Study of the Flow of Pollutants during Air Purification, Taking into Account the Use of Eco-Friendly Material for the Filter—Mycelium
by Vaidotas Vaišis, Aleksandras Chlebnikovas and Raimondas Jasevičius
Appl. Sci. 2023, 13(3), 1703; https://doi.org/10.3390/app13031703 - 29 Jan 2023
Cited by 7 | Viewed by 3761
Abstract
To improve air quality, it is customary to apply technological measures to isolate or retain pollutants by influencing the polluted stream in various ways to effectively remove the pollutants. One of the most commonly used measures is a filter, in which the air [...] Read more.
To improve air quality, it is customary to apply technological measures to isolate or retain pollutants by influencing the polluted stream in various ways to effectively remove the pollutants. One of the most commonly used measures is a filter, in which the air flow passes through a porous aggregate. A variety of filter materials allows very selective and precise cleaning of the air flow in non-standard or even aggressive microclimate conditions. In this paper, the environmental aspect of the used materials is discussed, and a theoretical model of an adapted mycelium is proposed as an alternative to the use of filter materials to predict air flow purification. In the created numerical model of an idealized filter, several cases are considered when the pore size of the mycelial fillers reaches 1.0, 0.5 and 0.1 mm, and the feed flow velocity reaches 1–5 m/s. Moreover, in the mycelium itself, the flow velocity can decrease and approach the wall to a value of 0.3 m/s, which is estimated for additional numerical studies of interaction with the surface. These preliminary studies are aimed at establishing indicative theoretical parameters for favorable air flow movement in the structure of the mycelium. Full article
(This article belongs to the Special Issue Air Quality Prediction Based on Machine Learning Algorithms II)
Show Figures

Figure 1

Back to TopTop