Characterization of typical airborne fibrous particles and their aerodynamic removal

Zhang, Chengbin

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https://hdl.handle.net/2142/113932 Copy

Description

Title

Characterization of typical airborne fibrous particles and their aerodynamic removal

Author(s)

Zhang, Chengbin

Issue Date

2021-12-10

Director of Research (if dissertation) or Advisor (if thesis)

Zhang, Yuanhui

Committee Member(s)

• Grift, Tony
• Wang, Xinlei

Department of Study

Engineering Administration

Discipline

Agricultural & Biological Engr

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

Fibrous particle properties, Aerodynamic cleaning

Abstract

Common fibers such as cotton, cottonwood seeds, and dryer lint can severely harm human health and equipment operation. In large quantities, fibers can clog air intakes and filters on equipment and machinery. Clogged air intakes and filters will lower efficiency, increase energy usage, causing overheating, premature failure, or explosions. Fibers can cause adverse health effects, from mild skin irritations to respiratory system impairment and suffocation. Fibers can stay airborne easily and travel a great distance. Small particles such as dust, bacteria, and viruses can attach to the fibers. However, there is a lack of information on the aerodynamic properties of such fibrous particles, which is critical for the proper design of air filtering systems such as HVAC systems and vehicles that encounter these particles. This research aims to characterize some commonly found fibrous particles' physical and aerodynamic properties and then develop and evaluate air cleaning prototypes to remove particles automatically from an air stream. The prototypes were designed based on the principle of a unique uniflow aerodynamic cyclone - the Deduster, developed at the Environment-Enhancing Energy Laboratory (E2-E Lab) led by Dr. Yuanhui Zhang at the University of Illinois at Urbana Champaign (UIUC) Various fibrous particle samples were collected and categorized into groups, including cotton, eastern cottonwood seeds, dandelions, grass residue (leaves), household dryer lint, Canada goose down feathers, and dog hairs. These particles are widely present, known to cause issues mentioned, and often caught on filters. The density of each sample group was measured using an analytical balance and a helium gas pycnometer. A distribution of aerodynamic diameters for each group was obtained by measuring particle settling velocity in a calm-air settling chamber. Conversions of dynamic shape factors and volume equivalent diameters were performed but only limited to Canada goose down feathers and grass residues due to their larger sizes. Several prototypes were developed by employing a sensitivity analysis on design parameters in established theoretical equations. A testbed was developed to measure the two most important factors: particle separation efficiency and pressure drop across the prototype. Six Deduster prototypes were modeled using CAD software and manufactured by a high-resolution stereolithography (SLA) 3D printer. Various computational analyses on the designs were performed, including Computational Fluid Dynamics (CFD) analysis and Finite Element Analysis (FEA). The particle separation efficiency of each prototype was performed by gravimetric analysis using standard hydrated lime particles with previously determined properties and size distribution. The two key performance indicators: particle separation efficiency and pressure drop, were tested for all the prototypes under different air flow rates and dust load conditions. The experimental evaluations were conducted in the Bioenvironmental and Structural System Laboratory (BESS Lab) at UIUC. Results revealed discrepancies compared to theoretical predictions. In all experimental measurements but one, the theoretical calculations underpredicted the pressure drops of the prototypes. The gravimetric analysis showed approximately 90% or higher particle removal.

Graduation Semester

2021-12

Type of Resource

Thesis

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http://hdl.handle.net/2142/113932

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Copyright 2021 Chengbin Zhang

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