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Quantifying Discretization Errors in Electrophoretically-Guided Micro Additive Manufacturing

This paper presents process models for a new micro additive manufacturing process termed Electrophoretically-guided Micro Additive Manufacturing (EPμAM). In EPμAM, a planar microelectrode array generates the electric potential distributions which cause colloidal particles to agglomerate and deposit...

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Detalles Bibliográficos
Autores principales: Pritchet, David, Moser, Newell, Ehmann, Kornel, Cao, Jian, Huang, Jiaxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187608/
https://www.ncbi.nlm.nih.gov/pubmed/30424380
http://dx.doi.org/10.3390/mi9090447
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author Pritchet, David
Moser, Newell
Ehmann, Kornel
Cao, Jian
Huang, Jiaxing
author_facet Pritchet, David
Moser, Newell
Ehmann, Kornel
Cao, Jian
Huang, Jiaxing
author_sort Pritchet, David
collection PubMed
description This paper presents process models for a new micro additive manufacturing process termed Electrophoretically-guided Micro Additive Manufacturing (EPμAM). In EPμAM, a planar microelectrode array generates the electric potential distributions which cause colloidal particles to agglomerate and deposit in desired regions. The discrete microelectrode array nature and the used pulse width modulation (PWM) technique for microelectrode actuation create unavoidable process errors—space and time discretization errors—that distort particle trajectories. To combat this, we developed finite element method (FEM) models to study trajectory deviations due to these errors. Mean square displacement (MSD) analysis of the computed particle trajectories is used to compare these deviations for several electrode geometries. The two top-performing electrode geometries evaluated by MSD were additionally investigated through separate case studies via geometry variation and MSD recomputation. Furthermore, separate time-discretization error simulations are also studied where electrode actuating waveforms were simulated. The mechanical impulse of the electromechanical force, generated from these waveforms is used as the basis for comparison. The obtained results show a moderate MSDs variability and significant differences in the computed mechanical impulses for the actuating waveforms. The observed limitations of the developed process model and of the error comparison technique are briefly discussed and future steps are recommended.
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spelling pubmed-61876082018-11-01 Quantifying Discretization Errors in Electrophoretically-Guided Micro Additive Manufacturing Pritchet, David Moser, Newell Ehmann, Kornel Cao, Jian Huang, Jiaxing Micromachines (Basel) Article This paper presents process models for a new micro additive manufacturing process termed Electrophoretically-guided Micro Additive Manufacturing (EPμAM). In EPμAM, a planar microelectrode array generates the electric potential distributions which cause colloidal particles to agglomerate and deposit in desired regions. The discrete microelectrode array nature and the used pulse width modulation (PWM) technique for microelectrode actuation create unavoidable process errors—space and time discretization errors—that distort particle trajectories. To combat this, we developed finite element method (FEM) models to study trajectory deviations due to these errors. Mean square displacement (MSD) analysis of the computed particle trajectories is used to compare these deviations for several electrode geometries. The two top-performing electrode geometries evaluated by MSD were additionally investigated through separate case studies via geometry variation and MSD recomputation. Furthermore, separate time-discretization error simulations are also studied where electrode actuating waveforms were simulated. The mechanical impulse of the electromechanical force, generated from these waveforms is used as the basis for comparison. The obtained results show a moderate MSDs variability and significant differences in the computed mechanical impulses for the actuating waveforms. The observed limitations of the developed process model and of the error comparison technique are briefly discussed and future steps are recommended. MDPI 2018-09-07 /pmc/articles/PMC6187608/ /pubmed/30424380 http://dx.doi.org/10.3390/mi9090447 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pritchet, David
Moser, Newell
Ehmann, Kornel
Cao, Jian
Huang, Jiaxing
Quantifying Discretization Errors in Electrophoretically-Guided Micro Additive Manufacturing
title Quantifying Discretization Errors in Electrophoretically-Guided Micro Additive Manufacturing
title_full Quantifying Discretization Errors in Electrophoretically-Guided Micro Additive Manufacturing
title_fullStr Quantifying Discretization Errors in Electrophoretically-Guided Micro Additive Manufacturing
title_full_unstemmed Quantifying Discretization Errors in Electrophoretically-Guided Micro Additive Manufacturing
title_short Quantifying Discretization Errors in Electrophoretically-Guided Micro Additive Manufacturing
title_sort quantifying discretization errors in electrophoretically-guided micro additive manufacturing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187608/
https://www.ncbi.nlm.nih.gov/pubmed/30424380
http://dx.doi.org/10.3390/mi9090447
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