Numerical study of surfactants’ effect in surface agglomeration during 3D nano-inkjet printing by many-body dissipative particle dynamics

Surfactants are necessary in very small scale 3D inkjet printing in order to control and reduce agglomeration leading to nozzle clogging. This numerical study specially focuses on nano-droplet formation that takes place at the nozzle. As nano-droplet formation can be modelled by Many-Body Dissipa...

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Main Authors: Aphinyan, Suphanat, Ang, Elisa Yun Mei, Geethalakshmi, K. R., Yeo, Jingjie, Lin, Rongming, Ng, Teng Yong
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/88559
http://hdl.handle.net/10220/45836
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-885592020-09-24T20:10:29Z Numerical study of surfactants’ effect in surface agglomeration during 3D nano-inkjet printing by many-body dissipative particle dynamics Aphinyan, Suphanat Ang, Elisa Yun Mei Geethalakshmi, K. R. Yeo, Jingjie Lin, Rongming Ng, Teng Yong School of Mechanical and Aerospace Engineering Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) Singapore Centre for 3D Printing DRNTU::Engineering::Mechanical engineering::Prototyping Many-Body Dissipative Particle Dynamics (MDPD) 3D Inkjet Printing Surfactants are necessary in very small scale 3D inkjet printing in order to control and reduce agglomeration leading to nozzle clogging. This numerical study specially focuses on nano-droplet formation that takes place at the nozzle. As nano-droplet formation can be modelled by Many-Body Dissipative Particle Dynamics (MDPD), this methodology is employed for the implementation surfactants to study its performance on reducing agglomeration and effects on nano-droplet formation. The surfactant is implemented in MDPD as a simple molecule composing of single hydrophilic bead and single hydrophobic bead. Additional attraction parameters to properly implement the surfactants are a major feature of this study. Present findings indicate that a sufficient small amount of surfactant can effectively reduce ink deposition on the nozzle wall, in line with actual commercial references. From this work, we can conclude that the MDPD is an appropriate meso-scale simulation technique to numerically study nano-scale 3D inkjet flow dynamics, and to predict associated trends. Published version 2018-09-05T06:57:21Z 2019-12-06T17:06:05Z 2018-09-05T06:57:21Z 2019-12-06T17:06:05Z 2018 Conference Paper Aphinyan, S., Ang, E. Y. M., Geethalakshmi, K. R., Yeo, J., Lin, R., & Ng, T. Y. (2018). Numerical study of surfactants’ effect in surface agglomeration during 3D nano-inkjet printing by many-body dissipative particle dynamics. Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018), 334-340. doi:10.25341/D4G01H https://hdl.handle.net/10356/88559 http://hdl.handle.net/10220/45836 10.25341/D4G01H en © 2018 Nanyang Technological University. Published by Nanyang Technological University, Singapore. 7 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering::Prototyping
Many-Body Dissipative Particle Dynamics (MDPD)
3D Inkjet Printing
spellingShingle DRNTU::Engineering::Mechanical engineering::Prototyping
Many-Body Dissipative Particle Dynamics (MDPD)
3D Inkjet Printing
Aphinyan, Suphanat
Ang, Elisa Yun Mei
Geethalakshmi, K. R.
Yeo, Jingjie
Lin, Rongming
Ng, Teng Yong
Numerical study of surfactants’ effect in surface agglomeration during 3D nano-inkjet printing by many-body dissipative particle dynamics
description Surfactants are necessary in very small scale 3D inkjet printing in order to control and reduce agglomeration leading to nozzle clogging. This numerical study specially focuses on nano-droplet formation that takes place at the nozzle. As nano-droplet formation can be modelled by Many-Body Dissipative Particle Dynamics (MDPD), this methodology is employed for the implementation surfactants to study its performance on reducing agglomeration and effects on nano-droplet formation. The surfactant is implemented in MDPD as a simple molecule composing of single hydrophilic bead and single hydrophobic bead. Additional attraction parameters to properly implement the surfactants are a major feature of this study. Present findings indicate that a sufficient small amount of surfactant can effectively reduce ink deposition on the nozzle wall, in line with actual commercial references. From this work, we can conclude that the MDPD is an appropriate meso-scale simulation technique to numerically study nano-scale 3D inkjet flow dynamics, and to predict associated trends.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Aphinyan, Suphanat
Ang, Elisa Yun Mei
Geethalakshmi, K. R.
Yeo, Jingjie
Lin, Rongming
Ng, Teng Yong
format Conference or Workshop Item
author Aphinyan, Suphanat
Ang, Elisa Yun Mei
Geethalakshmi, K. R.
Yeo, Jingjie
Lin, Rongming
Ng, Teng Yong
author_sort Aphinyan, Suphanat
title Numerical study of surfactants’ effect in surface agglomeration during 3D nano-inkjet printing by many-body dissipative particle dynamics
title_short Numerical study of surfactants’ effect in surface agglomeration during 3D nano-inkjet printing by many-body dissipative particle dynamics
title_full Numerical study of surfactants’ effect in surface agglomeration during 3D nano-inkjet printing by many-body dissipative particle dynamics
title_fullStr Numerical study of surfactants’ effect in surface agglomeration during 3D nano-inkjet printing by many-body dissipative particle dynamics
title_full_unstemmed Numerical study of surfactants’ effect in surface agglomeration during 3D nano-inkjet printing by many-body dissipative particle dynamics
title_sort numerical study of surfactants’ effect in surface agglomeration during 3d nano-inkjet printing by many-body dissipative particle dynamics
publishDate 2018
url https://hdl.handle.net/10356/88559
http://hdl.handle.net/10220/45836
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