Evidence map›Paper›PMID 38998262›Full record

ArticleMaterials (Basel, Switzerland)2024

An Extensive Study of the Influence of Key Flow Variables on Printed Line Quality Outcomes during Aerosol Jet Printing Using Coupled Three-Dimensional Numerical Models.

Haining Zhang, Haifeng Xu, Lin Cui, Zhenggao Pan, Pil-Ho Lee, Min-Kyo Jung, Joon-Phil Choi

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Haining ZhangSchool of Information Engineering, Suzhou University, Suzhou 234000, China.ORCID 0000-0003-2132-8091
Haifeng XuSchool of Information Engineering, Suzhou University, Suzhou 234000, China.
Lin CuiSchool of Information Engineering, Suzhou University, Suzhou 234000, China.
Zhenggao PanSchool of Information Engineering, Suzhou University, Suzhou 234000, China.
Pil-Ho LeeDepartment of 3D Printing, Korea Institute of Machinery & Materials, Daejeon 34103, Republic of Korea.
Min-Kyo JungDepartment of 3D Printing, Korea Institute of Machinery & Materials, Daejeon 34103, Republic of Korea.
Joon-Phil ChoiDepartment of 3D Printing, Korea Institute of Machinery & Materials, Daejeon 34103, Republic of Korea.ORCID 0000-0002-8136-5268

Funding

Key Discipline of Computer Science and Technology 2019xjzdxk1Korea Institute of Machinery and Materials NK248IMinistry of Trade, Industry and Energy 20024344Scientific Research Platform of Suzhou University 2021XJPT51Teaching Research Project of Suzhou University szxy2023jyjf84the Doctor of Suzhou University Scientific Research Foundation Project 2021BSK023the Key Natural Science Project of Anhui Provincial Education Department 2022AH051373the Key Research and Technology Development Projects of Anhui Province 202004a06020045the Major Projects of Natural Science Research in Universities of Anhui Province 2022AH040208the Research and Development Fund Project of Suzhou University 2021fzjj29
6 · The paper itself

Abstract

A three-dimensional (3D) numerical model was developed to explore the intricate aerodynamic mechanisms associated with aerosol jet printing (AJP). The proposed approach integrates computational fluid dynamics and discrete phase modeling, offering a comprehensive understanding of the deposition mechanisms of the AJP process. Initially, numerical solutions of the governing equations were obtained under the assumptions of compressible and laminar flows, facilitating an analysis of certain key flow variables, in this case, the sheath gas flow rate and carrier gas flow rate across the fluid domain. Subsequently, incorporating a Lagrangian discrete phase model allowed a detailed examination of the droplet behavior after nozzle ejection, considering the influence of the Saffman lift force. Finally, experiments were performed to elucidate the influence of key flow variables on the printed width. Generally, the measured printed line morphology and corresponding line electrical performance exhibited close conformity with the numerical model, demonstrating that the proposed numerical model is important for making well-informed decisions during process optimization.

Indexed as

3D numerical modelaerosol jet printingdiscrete phase modelprinted line electrical performanceprinted line qualitythree-dimensional

Identifiers

PMID38998262
PMCPMC11242870

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Registered trials

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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.