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Thermal response analysis and parameter prediction of additively manufactured polymers

Fused Deposition Modelling (FDM), is an additive manufacturing technology where polymers are extruded using appropriate processing parameters to achieve suitable bonding while ensuring that overheating does not occur. Among processing parameters, polymer inlet temperature, nozzle size, extrusion spe...

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Main Authors:	Moslemi, Navid, Abdi, Behzad, Gohari, Soheil, Sudin, Izman, Atashpaz-Gargari, E., Redzuan, Norizah, Ayob, Amran, Burvill, Colin, Meini Su, Meini Su, Arya, Farid
Format:	Article
Language:	English
Published:	Elsevier Ltd 2022
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/100992/1/NorizahRedzuan2022_ThermalResponseAnalysisandParameterPrediction.pdf http://eprints.utm.my/id/eprint/100992/ http://dx.doi.org/10.1016/j.applthermaleng.2022.118533
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id	my.utm.100992
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spelling	my.utm.1009922023-05-23T10:29:24Z http://eprints.utm.my/id/eprint/100992/ Thermal response analysis and parameter prediction of additively manufactured polymers Moslemi, Navid Abdi, Behzad Gohari, Soheil Sudin, Izman Atashpaz-Gargari, E. Redzuan, Norizah Ayob, Amran Burvill, Colin Meini Su, Meini Su Arya, Farid TJ Mechanical engineering and machinery Fused Deposition Modelling (FDM), is an additive manufacturing technology where polymers are extruded using appropriate processing parameters to achieve suitable bonding while ensuring that overheating does not occur. Among processing parameters, polymer inlet temperature, nozzle size, extrusion speed, and air cooling speed are significantly effect on the extrusion process at the distance between the build plate and the nozzle tip (standoff region). This study aims to evaluate the influences of the processing parameters on the thermal behavior and phase change zone of Polyamide 12 (PA12) and Acrylonitrile Butadiene Styrene (ABS) polymers at standoff region. A nonlinear three-dimensional (3D) finite element (FE) model was developed by implementing an apparent heat capacity model using the Heat Transfer Module in COMSOL® Multiphysics software. FE results in the standoff region were validated by experimental tests, concerning various nozzle sizes and extrusion speed. The validated numerical results demonstrated that there is a complex correlation between processing parameters and thermal behaviors such as phase change and temperature distribution in the standoff region. The FE results were then employed in training an artificial neural network (ANN). A well-established compromise between the trained ANN and the FE results demonstrates that the trained ANN can be employed in the prediction of further thermal and glass transition behavior using subsequent processing parameters. Elsevier Ltd 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/100992/1/NorizahRedzuan2022_ThermalResponseAnalysisandParameterPrediction.pdf Moslemi, Navid and Abdi, Behzad and Gohari, Soheil and Sudin, Izman and Atashpaz-Gargari, E. and Redzuan, Norizah and Ayob, Amran and Burvill, Colin and Meini Su, Meini Su and Arya, Farid (2022) Thermal response analysis and parameter prediction of additively manufactured polymers. Applied Thermal Engineering, 212 (NA). pp. 1-17. ISSN 1359-4311 http://dx.doi.org/10.1016/j.applthermaleng.2022.118533 DOI : 10.1016/j.applthermaleng.2022.118533
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Moslemi, Navid Abdi, Behzad Gohari, Soheil Sudin, Izman Atashpaz-Gargari, E. Redzuan, Norizah Ayob, Amran Burvill, Colin Meini Su, Meini Su Arya, Farid Thermal response analysis and parameter prediction of additively manufactured polymers
description	Fused Deposition Modelling (FDM), is an additive manufacturing technology where polymers are extruded using appropriate processing parameters to achieve suitable bonding while ensuring that overheating does not occur. Among processing parameters, polymer inlet temperature, nozzle size, extrusion speed, and air cooling speed are significantly effect on the extrusion process at the distance between the build plate and the nozzle tip (standoff region). This study aims to evaluate the influences of the processing parameters on the thermal behavior and phase change zone of Polyamide 12 (PA12) and Acrylonitrile Butadiene Styrene (ABS) polymers at standoff region. A nonlinear three-dimensional (3D) finite element (FE) model was developed by implementing an apparent heat capacity model using the Heat Transfer Module in COMSOL® Multiphysics software. FE results in the standoff region were validated by experimental tests, concerning various nozzle sizes and extrusion speed. The validated numerical results demonstrated that there is a complex correlation between processing parameters and thermal behaviors such as phase change and temperature distribution in the standoff region. The FE results were then employed in training an artificial neural network (ANN). A well-established compromise between the trained ANN and the FE results demonstrates that the trained ANN can be employed in the prediction of further thermal and glass transition behavior using subsequent processing parameters.
format	Article
author	Moslemi, Navid Abdi, Behzad Gohari, Soheil Sudin, Izman Atashpaz-Gargari, E. Redzuan, Norizah Ayob, Amran Burvill, Colin Meini Su, Meini Su Arya, Farid
author_facet	Moslemi, Navid Abdi, Behzad Gohari, Soheil Sudin, Izman Atashpaz-Gargari, E. Redzuan, Norizah Ayob, Amran Burvill, Colin Meini Su, Meini Su Arya, Farid
author_sort	Moslemi, Navid
title	Thermal response analysis and parameter prediction of additively manufactured polymers
title_short	Thermal response analysis and parameter prediction of additively manufactured polymers
title_full	Thermal response analysis and parameter prediction of additively manufactured polymers
title_fullStr	Thermal response analysis and parameter prediction of additively manufactured polymers
title_full_unstemmed	Thermal response analysis and parameter prediction of additively manufactured polymers
title_sort	thermal response analysis and parameter prediction of additively manufactured polymers
publisher	Elsevier Ltd
publishDate	2022
url	http://eprints.utm.my/id/eprint/100992/1/NorizahRedzuan2022_ThermalResponseAnalysisandParameterPrediction.pdf http://eprints.utm.my/id/eprint/100992/ http://dx.doi.org/10.1016/j.applthermaleng.2022.118533
_version_	1768006594213183488
score	13.211869

Thermal response analysis and parameter prediction of additively manufactured polymers

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