Optimizing Fused Deposition Modelling Process Parameters for Medical Grade Polymethylmethacrylate Flexural Strength

The production of functional parts, including those employed by the biomedical industry has been achieved a promising candidate in Fused Deposition Modelling (FDM). The essential properties of these biomedical parts which manufactured by additive manufacturing as compared to some other conventional...

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Main Authors: Nareen Hafidh Obaeed, Wisam Hamdan
Format: Article
Language:English
Published: Lublin University of Technology 2024-02-01
Series:Advances in Sciences and Technology
Subjects:
Online Access:http://www.astrj.com/Optimizing-Fused-Deposition-Modelling-Process-Parameters-for-Medical-Grade-Polymethylmethacrylate,182876,0,2.html
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author Nareen Hafidh Obaeed
Wisam Hamdan
author_facet Nareen Hafidh Obaeed
Wisam Hamdan
author_sort Nareen Hafidh Obaeed
collection DOAJ
description The production of functional parts, including those employed by the biomedical industry has been achieved a promising candidate in Fused Deposition Modelling (FDM). The essential properties of these biomedical parts which manufactured by additive manufacturing as compared to some other conventional manufacturing processes depend on structural and process parameters rather than material properties alone. Regarding to the evaluation the flexural strength of medical-grade, Polymethylmethacrylate PMMA has been received relatively very little investigation to date. PMMA is a biocompatible filament that be used in manufacturing of patient-specific implants such as dental prosthesis and orthopaedic implants. The proposed work explores the effect of three process parameters that vary with respect of three levels on the flexural strength. These levels can be specified by layer height (120, 200, 280 µm), infill density (40, 65, 90 %) and skewing angle (0º, 45º, 90º) on the flexural strength of medical-grade PMMA. Maximum and minimum flexural strength that be obtained in this work about (93 and 57 MPa) respectively. The analysis of variance (ANOVA) results shows that the most effective factor is the layer height followed by infill density. The flexural strength rises significantly with decreases layer height and the skewing angle is in zero direction. The process parameters have been optimized through utilizing of genetic algorithms. The optimal results that emerged based on genetic algorithm technique are approximately (276 μm) as layer height, (46 %) infill density and skewing angle (89 º) which maximize the flexural strength to (97 MPa) at crossover for ten generation.
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spelling doaj.art-0f1c04eb1dc54759892b3d8711f9a8872024-01-27T08:30:32ZengLublin University of TechnologyAdvances in Sciences and Technology2080-40752299-86242024-02-0118134935910.12913/22998624/182876182876Optimizing Fused Deposition Modelling Process Parameters for Medical Grade Polymethylmethacrylate Flexural StrengthNareen Hafidh Obaeed0https://orcid.org/0000-0002-0739-698XWisam Hamdan1Production Engineering and Metallurgy Department, University of Technology, Baghdad - IraqBiomedical Engineering Department, University of Technology, Baghdad - Iraq.The production of functional parts, including those employed by the biomedical industry has been achieved a promising candidate in Fused Deposition Modelling (FDM). The essential properties of these biomedical parts which manufactured by additive manufacturing as compared to some other conventional manufacturing processes depend on structural and process parameters rather than material properties alone. Regarding to the evaluation the flexural strength of medical-grade, Polymethylmethacrylate PMMA has been received relatively very little investigation to date. PMMA is a biocompatible filament that be used in manufacturing of patient-specific implants such as dental prosthesis and orthopaedic implants. The proposed work explores the effect of three process parameters that vary with respect of three levels on the flexural strength. These levels can be specified by layer height (120, 200, 280 µm), infill density (40, 65, 90 %) and skewing angle (0º, 45º, 90º) on the flexural strength of medical-grade PMMA. Maximum and minimum flexural strength that be obtained in this work about (93 and 57 MPa) respectively. The analysis of variance (ANOVA) results shows that the most effective factor is the layer height followed by infill density. The flexural strength rises significantly with decreases layer height and the skewing angle is in zero direction. The process parameters have been optimized through utilizing of genetic algorithms. The optimal results that emerged based on genetic algorithm technique are approximately (276 μm) as layer height, (46 %) infill density and skewing angle (89 º) which maximize the flexural strength to (97 MPa) at crossover for ten generation.http://www.astrj.com/Optimizing-Fused-Deposition-Modelling-Process-Parameters-for-Medical-Grade-Polymethylmethacrylate,182876,0,2.htmlpmmaflexural strengththree-point bendingfused filament fabricationgenetic algorithm
spellingShingle Nareen Hafidh Obaeed
Wisam Hamdan
Optimizing Fused Deposition Modelling Process Parameters for Medical Grade Polymethylmethacrylate Flexural Strength
Advances in Sciences and Technology
pmma
flexural strength
three-point bending
fused filament fabrication
genetic algorithm
title Optimizing Fused Deposition Modelling Process Parameters for Medical Grade Polymethylmethacrylate Flexural Strength
title_full Optimizing Fused Deposition Modelling Process Parameters for Medical Grade Polymethylmethacrylate Flexural Strength
title_fullStr Optimizing Fused Deposition Modelling Process Parameters for Medical Grade Polymethylmethacrylate Flexural Strength
title_full_unstemmed Optimizing Fused Deposition Modelling Process Parameters for Medical Grade Polymethylmethacrylate Flexural Strength
title_short Optimizing Fused Deposition Modelling Process Parameters for Medical Grade Polymethylmethacrylate Flexural Strength
title_sort optimizing fused deposition modelling process parameters for medical grade polymethylmethacrylate flexural strength
topic pmma
flexural strength
three-point bending
fused filament fabrication
genetic algorithm
url http://www.astrj.com/Optimizing-Fused-Deposition-Modelling-Process-Parameters-for-Medical-Grade-Polymethylmethacrylate,182876,0,2.html
work_keys_str_mv AT nareenhafidhobaeed optimizingfuseddepositionmodellingprocessparametersformedicalgradepolymethylmethacrylateflexuralstrength
AT wisamhamdan optimizingfuseddepositionmodellingprocessparametersformedicalgradepolymethylmethacrylateflexuralstrength