Mathematical Modeling and Optimization of Fused Filament Fabrication (FFF) Process Parameters for Shape Deviation Control of Polyamide 6 Using Taguchi Method

Fused filament fabrication (FFF) is a layer-by-layer additive manufacturing (AM) process for producing parts. For industries to gain a competitive advantage, reducing product development cycle time is a basic goal. As a result, industries’ attention has turned away from traditional product developme...

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Autores principales:	Zohreh Shakeri, Khaled Benfriha, Mohammadali Shirinbayan, Mohammad Ahmadifar, Abbas Tcharkhtchi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Taguchi design ANOVA FFF response surface cylindricity process optimization Organic chemistry QD241-441
Acceso en línea:	https://doaj.org/article/d4763fcf7e07443c8ac9bc05d54328cf
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spelling	oai:doaj.org-article:d4763fcf7e07443c8ac9bc05d54328cf2021-11-11T18:44:08ZMathematical Modeling and Optimization of Fused Filament Fabrication (FFF) Process Parameters for Shape Deviation Control of Polyamide 6 Using Taguchi Method10.3390/polym132136972073-4360https://doaj.org/article/d4763fcf7e07443c8ac9bc05d54328cf2021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4360/13/21/3697https://doaj.org/toc/2073-4360Fused filament fabrication (FFF) is a layer-by-layer additive manufacturing (AM) process for producing parts. For industries to gain a competitive advantage, reducing product development cycle time is a basic goal. As a result, industries’ attention has turned away from traditional product development processes toward rapid prototyping techniques. Because different process parameters employed in this method significantly impact the quality of FFF manufactured parts, it is essential to optimize FFF process parameters to enhance component quality. The paper presents optimization of fused filament fabrication process parameters to improve the shape deviation such as cylindricity and circularity of 3D printed parts with the Taguchi optimization method. The effect of thickness, infill pattern, number of walls, and layer height was investigated as variable parameters for experiments on cylindricity and circularity. The MarkForged<sup>®</sup> used Nylon White (PA6) to create the parts. ANOVA and the S/N ratio are also used to evaluate and optimize the influence of chosen factors. As a result, it was concluded that the hexagonal infill pattern, the thickness of 5 mm, wall layer of 2, and a layer height of 1.125 mm were known to be the optimal process parameters for circularity and cylindricity in experiments. Then a linear regression model was created to observe the relationship between the control variables with cylindricity and circularity. The results were confirmed by a confirmation test.Zohreh ShakeriKhaled BenfrihaMohammadali ShirinbayanMohammad AhmadifarAbbas TcharkhtchiMDPI AGarticleTaguchi designANOVAFFFresponse surfacecylindricityprocess optimizationOrganic chemistryQD241-441ENPolymers, Vol 13, Iss 3697, p 3697 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Taguchi design ANOVA FFF response surface cylindricity process optimization Organic chemistry QD241-441
spellingShingle	Taguchi design ANOVA FFF response surface cylindricity process optimization Organic chemistry QD241-441 Zohreh Shakeri Khaled Benfriha Mohammadali Shirinbayan Mohammad Ahmadifar Abbas Tcharkhtchi Mathematical Modeling and Optimization of Fused Filament Fabrication (FFF) Process Parameters for Shape Deviation Control of Polyamide 6 Using Taguchi Method
description	Fused filament fabrication (FFF) is a layer-by-layer additive manufacturing (AM) process for producing parts. For industries to gain a competitive advantage, reducing product development cycle time is a basic goal. As a result, industries’ attention has turned away from traditional product development processes toward rapid prototyping techniques. Because different process parameters employed in this method significantly impact the quality of FFF manufactured parts, it is essential to optimize FFF process parameters to enhance component quality. The paper presents optimization of fused filament fabrication process parameters to improve the shape deviation such as cylindricity and circularity of 3D printed parts with the Taguchi optimization method. The effect of thickness, infill pattern, number of walls, and layer height was investigated as variable parameters for experiments on cylindricity and circularity. The MarkForged<sup>®</sup> used Nylon White (PA6) to create the parts. ANOVA and the S/N ratio are also used to evaluate and optimize the influence of chosen factors. As a result, it was concluded that the hexagonal infill pattern, the thickness of 5 mm, wall layer of 2, and a layer height of 1.125 mm were known to be the optimal process parameters for circularity and cylindricity in experiments. Then a linear regression model was created to observe the relationship between the control variables with cylindricity and circularity. The results were confirmed by a confirmation test.
format	article
author	Zohreh Shakeri Khaled Benfriha Mohammadali Shirinbayan Mohammad Ahmadifar Abbas Tcharkhtchi
author_facet	Zohreh Shakeri Khaled Benfriha Mohammadali Shirinbayan Mohammad Ahmadifar Abbas Tcharkhtchi
author_sort	Zohreh Shakeri
title	Mathematical Modeling and Optimization of Fused Filament Fabrication (FFF) Process Parameters for Shape Deviation Control of Polyamide 6 Using Taguchi Method
title_short	Mathematical Modeling and Optimization of Fused Filament Fabrication (FFF) Process Parameters for Shape Deviation Control of Polyamide 6 Using Taguchi Method
title_full	Mathematical Modeling and Optimization of Fused Filament Fabrication (FFF) Process Parameters for Shape Deviation Control of Polyamide 6 Using Taguchi Method
title_fullStr	Mathematical Modeling and Optimization of Fused Filament Fabrication (FFF) Process Parameters for Shape Deviation Control of Polyamide 6 Using Taguchi Method
title_full_unstemmed	Mathematical Modeling and Optimization of Fused Filament Fabrication (FFF) Process Parameters for Shape Deviation Control of Polyamide 6 Using Taguchi Method
title_sort	mathematical modeling and optimization of fused filament fabrication (fff) process parameters for shape deviation control of polyamide 6 using taguchi method
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d4763fcf7e07443c8ac9bc05d54328cf
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Mathematical Modeling and Optimization of Fused Filament Fabrication (FFF) Process Parameters for Shape Deviation Control of Polyamide 6 Using Taguchi Method

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