Design and Evaluation of 3D-Printed Lattice Structures as High Flow Rate Aerosol Filters.

Yinkui Yu, Ning Zhang, Dominic Hoffman, Dewansh Rastogi, Ian R Woodward, Catherine A Fromen

Abstract read

In one paragraph

Article in ACS applied engineering materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yinkui YuDepartment of Chemical and Biomolecular Engineering and Department of Biomedical Engineering, University of Delaware, 150 Academy Street, Newark, Delaware 19716, United States.

Ning ZhangDepartment of Chemical and Biomolecular Engineering and Department of Biomedical Engineering, University of Delaware, 150 Academy Street, Newark, Delaware 19716, United States.

Dominic HoffmanDepartment of Chemical and Biomolecular Engineering and Department of Biomedical Engineering, University of Delaware, 150 Academy Street, Newark, Delaware 19716, United States.ORCID https://orcid.org/0009-0000-6138-2522

Dewansh RastogiDepartment of Chemical and Biomolecular Engineering and Department of Biomedical Engineering, University of Delaware, 150 Academy Street, Newark, Delaware 19716, United States.

Ian R WoodwardDepartment of Chemical and Biomolecular Engineering and Department of Biomedical Engineering, University of Delaware, 150 Academy Street, Newark, Delaware 19716, United States.

Catherine A FromenDepartment of Chemical and Biomolecular Engineering and Department of Biomedical Engineering, University of Delaware, 150 Academy Street, Newark, Delaware 19716, United States.ORCID https://orcid.org/0000-0002-7528-0997

Funding

Understanding synovial macrophage inflamm-aging within osteoarthritisP20GM139760 · NIGMS · UNIVERSITY OF DELAWARE · PI DAWN M ELLIOTT · 2021 to 2026

$19.1M

NIGMS NIH HHS P20 GM139760

6 · The paper itself

Abstract

Aerosol contamination presents significant challenges across various industries, ranging from healthcare to manufacturing. Over the past few years, open foam filters have gained prominence for their ability to efficiently capture particles while allowing reasonable airflow. In this work, we present the use of 3D-printed idealized open foam-like lattice structures as aerosol filtration media, leveraging advances in additive manufacturing to generate these highly tunable and modular filters. Using parametric design approaches, we fabricated lattice filters with four different unit cell geometries (Cubic, Kelvin, Octahedron, and Weaire-Phelan) via Digital Light Synthesis 3D printing and characterized these structures with X-ray microcomputed tomography. We compared the aerosol filtration performance of the different lattice unit cell geometries using 1 μm polystyrene latex (PSL) aerosol particles, finding the filtration performance to be positively correlated with the single-unit-cell specific surface area. We then expanded our evaluation of deposition efficiency in Kelvin cell lattice structures of varied porosities, again finding a correlation between the specific surface area and deposition performance. Experimental analysis confirmed that deposition primarily occurs through impaction and electrostatic mechanisms within the parameter space. Overall, our findings demonstrate that unit-cell-based lattices can achieve a wide range of aerosol filtration efficiencies (∼10-100%) across various operating conditions (1-4 m/s superficial velocity), offering a highly tunable in-line filtration medium capable of maintaining high efficiency even at elevated airflow rates. This work not only provides essential guidelines for designing and manufacturing 3D-printed lattices as customizable aerosol filters but also highlights the current limitations and challenges in producing these structures.

Identifiers

PMID39744315

DOI10.1021/acsaenm.4c00562

PMCPMC11686461

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.