Experimental investigation on flexural properties of FDM-processed PET-G specimen using response surface methodology

The properties of fused deposition modeling (FDM) products exhibit strong dependence on process parameters which may be improved by setting suitable levels for parameters related to FDM. Anisotropic and brittle nature of 3D-printed components makes it essential to investigate the effect of FDM contr...

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Autores principales:	Fountas Nikolaos A., Papantoniou Ioannis, Kechagias John D., Manolakos Dimitrios E., Vaxevanidis Nikolaos M.
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/a94fb12069434223962ae4241443213a
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spelling	oai:doaj.org-article:a94fb12069434223962ae4241443213a2021-12-02T17:13:46ZExperimental investigation on flexural properties of FDM-processed PET-G specimen using response surface methodology2261-236X10.1051/matecconf/202134901008https://doaj.org/article/a94fb12069434223962ae4241443213a2021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/18/matecconf_iceaf2021_01008.pdfhttps://doaj.org/toc/2261-236XThe properties of fused deposition modeling (FDM) products exhibit strong dependence on process parameters which may be improved by setting suitable levels for parameters related to FDM. Anisotropic and brittle nature of 3D-printed components makes it essential to investigate the effect of FDM control parameters to different performance metrics related to resistance for improving strength of functional parts. In this work the flexural strength of polyethylene terephthalate glycol (PET-G) is examined under by altering the levels of different 3D-printing parameters such as layer height, infill density, deposition angle, printing speed and printing temperature. A response surface experiment was established having 27 experimental runs to obtain the results for flexural strength (MPa) and to further investigate the effect of each control parameter on the response by studying the results using statistical analysis. The experiments were conducted as per the ASTM D790 standard. The regression model generated for flexural strength adequately explains the variation of FDM control parameters on flexural strength and thus, it can be implemented to find optimal parameter settings with the use of either an intelligent algorithm, or neural network.Fountas Nikolaos A.Papantoniou IoannisKechagias John D.Manolakos Dimitrios E.Vaxevanidis Nikolaos M.EDP SciencesarticleEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 349, p 01008 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Fountas Nikolaos A. Papantoniou Ioannis Kechagias John D. Manolakos Dimitrios E. Vaxevanidis Nikolaos M. Experimental investigation on flexural properties of FDM-processed PET-G specimen using response surface methodology
description	The properties of fused deposition modeling (FDM) products exhibit strong dependence on process parameters which may be improved by setting suitable levels for parameters related to FDM. Anisotropic and brittle nature of 3D-printed components makes it essential to investigate the effect of FDM control parameters to different performance metrics related to resistance for improving strength of functional parts. In this work the flexural strength of polyethylene terephthalate glycol (PET-G) is examined under by altering the levels of different 3D-printing parameters such as layer height, infill density, deposition angle, printing speed and printing temperature. A response surface experiment was established having 27 experimental runs to obtain the results for flexural strength (MPa) and to further investigate the effect of each control parameter on the response by studying the results using statistical analysis. The experiments were conducted as per the ASTM D790 standard. The regression model generated for flexural strength adequately explains the variation of FDM control parameters on flexural strength and thus, it can be implemented to find optimal parameter settings with the use of either an intelligent algorithm, or neural network.
format	article
author	Fountas Nikolaos A. Papantoniou Ioannis Kechagias John D. Manolakos Dimitrios E. Vaxevanidis Nikolaos M.
author_facet	Fountas Nikolaos A. Papantoniou Ioannis Kechagias John D. Manolakos Dimitrios E. Vaxevanidis Nikolaos M.
author_sort	Fountas Nikolaos A.
title	Experimental investigation on flexural properties of FDM-processed PET-G specimen using response surface methodology
title_short	Experimental investigation on flexural properties of FDM-processed PET-G specimen using response surface methodology
title_full	Experimental investigation on flexural properties of FDM-processed PET-G specimen using response surface methodology
title_fullStr	Experimental investigation on flexural properties of FDM-processed PET-G specimen using response surface methodology
title_full_unstemmed	Experimental investigation on flexural properties of FDM-processed PET-G specimen using response surface methodology
title_sort	experimental investigation on flexural properties of fdm-processed pet-g specimen using response surface methodology
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/a94fb12069434223962ae4241443213a
work_keys_str_mv	AT fountasnikolaosa experimentalinvestigationonflexuralpropertiesoffdmprocessedpetgspecimenusingresponsesurfacemethodology AT papantoniouioannis experimentalinvestigationonflexuralpropertiesoffdmprocessedpetgspecimenusingresponsesurfacemethodology AT kechagiasjohnd experimentalinvestigationonflexuralpropertiesoffdmprocessedpetgspecimenusingresponsesurfacemethodology AT manolakosdimitriose experimentalinvestigationonflexuralpropertiesoffdmprocessedpetgspecimenusingresponsesurfacemethodology AT vaxevanidisnikolaosm experimentalinvestigationonflexuralpropertiesoffdmprocessedpetgspecimenusingresponsesurfacemethodology
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Experimental investigation on flexural properties of FDM-processed PET-G specimen using response surface methodology

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