Title

Analysis of Data to Evaluate the Performance of Air Filters Used for Filtering Nanoscale Particles Generated by Smoke

Location

Presentation- Allen E. Paulson College of Engineering and Computing

Document Type and Release Option

Thesis Presentation (Restricted to Georgia Southern)

Faculty Mentor

Aniruddha Mitra

Faculty Mentor Email

amitra@georgiasouthern.edu

Presentation Year

2021

Start Date

26-4-2021 12:00 AM

End Date

30-4-2021 12:00 AM

Keywords

Air filters, masks, smoke, nanoparticles, filtration

Description

The main goal of this research project is to determine the effectiveness of commercially available air filters and to compare different kinds of commercially available air filters in certain categories. With recent record-breaking wildfires and the Covid-19 pandemic, research on the effects and features of nanoparticles has become increasingly important. Inhalation of nanoparticles in smoke can result in severe health effects on humans, affecting especially the respiratory system. As nanoparticles can pass through cell membranes, absorption occurs rapidly and affects many different parts and functions of the human body. While air filters are an effective method of reducing small-sized particles in flowing air, current filtration standards only apply to larger scaled microparticles, and filtration efficiencies for nanoparticles are often unknown.

A good understanding of the effectiveness of air filters and masks is crucial to prevent inhalation of nanoparticles. Using a wind tunnel and two different types of woodsmokes, the penetration rates of nanoparticles through air filters were determined. Tests were performed with four different air filters using woodsmoke from hickory and applewood pallets. Due to outliers affecting mean and standard deviation values, a JavaScript code was written to eliminate outliers from the data sets. Trials with hickory smoke provided more consistent results than with applewood smoke. Average filtration effectiveness using hickory smoke was relatively close for all air filters at around 50%. Results from applewood smoke were relatively inconsistent. Due to a wide range of data and high standard deviations, effectiveness could not be established precisely.

Academic Unit

Allen E. Paulson College of Engineering and Computing

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Apr 26th, 12:00 AM Apr 30th, 12:00 AM

Analysis of Data to Evaluate the Performance of Air Filters Used for Filtering Nanoscale Particles Generated by Smoke

Presentation- Allen E. Paulson College of Engineering and Computing

The main goal of this research project is to determine the effectiveness of commercially available air filters and to compare different kinds of commercially available air filters in certain categories. With recent record-breaking wildfires and the Covid-19 pandemic, research on the effects and features of nanoparticles has become increasingly important. Inhalation of nanoparticles in smoke can result in severe health effects on humans, affecting especially the respiratory system. As nanoparticles can pass through cell membranes, absorption occurs rapidly and affects many different parts and functions of the human body. While air filters are an effective method of reducing small-sized particles in flowing air, current filtration standards only apply to larger scaled microparticles, and filtration efficiencies for nanoparticles are often unknown.

A good understanding of the effectiveness of air filters and masks is crucial to prevent inhalation of nanoparticles. Using a wind tunnel and two different types of woodsmokes, the penetration rates of nanoparticles through air filters were determined. Tests were performed with four different air filters using woodsmoke from hickory and applewood pallets. Due to outliers affecting mean and standard deviation values, a JavaScript code was written to eliminate outliers from the data sets. Trials with hickory smoke provided more consistent results than with applewood smoke. Average filtration effectiveness using hickory smoke was relatively close for all air filters at around 50%. Results from applewood smoke were relatively inconsistent. Due to a wide range of data and high standard deviations, effectiveness could not be established precisely.