Predictive modeling of extruded filament in the air for bioink in direct ink writing using numerical simulation

Yongqiang Tu; Alaa Hassan; Javier A. Arrieta-Escobar; Uzair Khaleeq Uz Zaman; Fangkai Xue; Siadat Ali; Gongliu Yang

doi:10.1016/j.procir.2022.09.026

Predictive modeling of extruded filament in the air for bioink in direct ink writing using numerical simulation

Yongqiang Tu^*
, Alaa Hassan
, Javier A. Arrieta-Escobar
, Uzair Khaleeq Uz Zaman
, Fangkai Xue
, Siadat Ali
, Gongliu Yang

^*Corresponding author for this work

School of Instrumentation and Optoelectronic Engineering

Beihang University
Arts et Métiers ParisTech
Université de Lorraine
National University of Sciences and Technology Pakistan

Research output: Contribution to journal › Conference article › peer-review

10 Scopus citations

Abstract

Direct ink writing (DIW) is the most widespread 3D printing process for manufacturing parts with bioink. In this paper, a predictive model of extruded filament in the air for bioink in DIW is established using numerical simulation. The predictive model fully considers the complete factors including bioink's material properties, extrusion tool's dimensions and process parameters. This simulation model can be used to predict velocity field and shape of extruded filament in the air which are important parameters for DIW process quality evaluation, control and optimization. The proposed predictive model is then validated through comparison between simulation and experimental results.

Original language	English
Pages (from-to)	394-399
Number of pages	6
Journal	Procedia CIRP
Volume	112
DOIs	https://doi.org/10.1016/j.procir.2022.09.026
State	Published - 2022
Event	15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021 - Naples, Italy Duration: 14 Jul 2021 → 16 Jul 2021

Keywords

Direct ink writing
Numerical simulation
Predictive model
Printing analysis
extrusion-based 3D printing

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10.1016/j.procir.2022.09.026

Cite this

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title = "Predictive modeling of extruded filament in the air for bioink in direct ink writing using numerical simulation",

abstract = "Direct ink writing (DIW) is the most widespread 3D printing process for manufacturing parts with bioink. In this paper, a predictive model of extruded filament in the air for bioink in DIW is established using numerical simulation. The predictive model fully considers the complete factors including bioink's material properties, extrusion tool's dimensions and process parameters. This simulation model can be used to predict velocity field and shape of extruded filament in the air which are important parameters for DIW process quality evaluation, control and optimization. The proposed predictive model is then validated through comparison between simulation and experimental results.",

keywords = "Direct ink writing, Numerical simulation, Predictive model, Printing analysis, extrusion-based 3D printing",

author = "Yongqiang Tu and Alaa Hassan and Arrieta-Escobar, \{Javier A.\} and \{Khaleeq Uz Zaman\}, Uzair and Fangkai Xue and Siadat Ali and Gongliu Yang",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.. All rights reserved.; 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021 ; Conference date: 14-07-2021 Through 16-07-2021",

year = "2022",

doi = "10.1016/j.procir.2022.09.026",

language = "英语",

volume = "112",

pages = "394--399",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Predictive modeling of extruded filament in the air for bioink in direct ink writing using numerical simulation

AU - Tu, Yongqiang

AU - Hassan, Alaa

AU - Arrieta-Escobar, Javier A.

AU - Khaleeq Uz Zaman, Uzair

AU - Xue, Fangkai

AU - Ali, Siadat

AU - Yang, Gongliu

PY - 2022

Y1 - 2022

N2 - Direct ink writing (DIW) is the most widespread 3D printing process for manufacturing parts with bioink. In this paper, a predictive model of extruded filament in the air for bioink in DIW is established using numerical simulation. The predictive model fully considers the complete factors including bioink's material properties, extrusion tool's dimensions and process parameters. This simulation model can be used to predict velocity field and shape of extruded filament in the air which are important parameters for DIW process quality evaluation, control and optimization. The proposed predictive model is then validated through comparison between simulation and experimental results.

AB - Direct ink writing (DIW) is the most widespread 3D printing process for manufacturing parts with bioink. In this paper, a predictive model of extruded filament in the air for bioink in DIW is established using numerical simulation. The predictive model fully considers the complete factors including bioink's material properties, extrusion tool's dimensions and process parameters. This simulation model can be used to predict velocity field and shape of extruded filament in the air which are important parameters for DIW process quality evaluation, control and optimization. The proposed predictive model is then validated through comparison between simulation and experimental results.

KW - Direct ink writing

KW - Numerical simulation

KW - Predictive model

KW - Printing analysis

KW - extrusion-based 3D printing

UR - https://www.scopus.com/pages/publications/85141955094

U2 - 10.1016/j.procir.2022.09.026

DO - 10.1016/j.procir.2022.09.026

M3 - 会议文章

AN - SCOPUS:85141955094

SN - 2212-8271

VL - 112

SP - 394

EP - 399

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021

Y2 - 14 July 2021 through 16 July 2021

ER -

Predictive modeling of extruded filament in the air for bioink in direct ink writing using numerical simulation

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Keywords

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