Optimization parameter effects on the strength of the three-dimensional printing (3D printing) fused deposition modelling (FDM) process

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Main Author: Naim, Abd Halim
Other Authors: Radhwan, Hussin
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2021
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Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69868
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spelling my.unimap-698682021-02-25T02:32:38Z Optimization parameter effects on the strength of the three-dimensional printing (3D printing) fused deposition modelling (FDM) process Naim, Abd Halim Radhwan, Hussin Three-dimensional printing (3D printing) Fused deposition modelling (FDM) Rapid prototyping (RP) Access is limited to UniMAP community. Fused deposition modelling (FDM) is a fast growing rapid prototyping (RP) technology due to its ability to build functional parts having complex geometrical shape in reasonable time period. The quality of built parts depends on many process variables. In this study, three important process parameters such as layer thickness, orientation, and infill are considered. Their influence on two responses such as tensile and flexural strength of test specimen is studied. Experiments are conducted based on Taguchi method in order to reduce experimental runs. Empirical models relating response and process parameters are developed. The validity of the models is tested using analysis of variance (ANOVA). The major reason for weak strength may be attributed to distortion within or between the layers. Finally, concept of desirability function is used for maximizing all responses simultaneously. It was found out that the use of layer thickness 0.25 mm, orientation of 0 degree, and infill of 100% are suggested in order to find the good strength for three dimensional printing (3D printing) fused deposition modeling (FDM). Based on the result, it shows that the infill is the most significant factors that affect the strength of the three dimensional printing (3D printing) fused deposition modeling (FDM) process followed by orientation and the layer thickness. 2021-02-25T02:32:38Z 2021-02-25T02:32:38Z 2016-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69868 en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Three-dimensional printing (3D printing)
Fused deposition modelling (FDM)
Rapid prototyping (RP)
spellingShingle Three-dimensional printing (3D printing)
Fused deposition modelling (FDM)
Rapid prototyping (RP)
Naim, Abd Halim
Optimization parameter effects on the strength of the three-dimensional printing (3D printing) fused deposition modelling (FDM) process
description Access is limited to UniMAP community.
author2 Radhwan, Hussin
author_facet Radhwan, Hussin
Naim, Abd Halim
format Learning Object
author Naim, Abd Halim
author_sort Naim, Abd Halim
title Optimization parameter effects on the strength of the three-dimensional printing (3D printing) fused deposition modelling (FDM) process
title_short Optimization parameter effects on the strength of the three-dimensional printing (3D printing) fused deposition modelling (FDM) process
title_full Optimization parameter effects on the strength of the three-dimensional printing (3D printing) fused deposition modelling (FDM) process
title_fullStr Optimization parameter effects on the strength of the three-dimensional printing (3D printing) fused deposition modelling (FDM) process
title_full_unstemmed Optimization parameter effects on the strength of the three-dimensional printing (3D printing) fused deposition modelling (FDM) process
title_sort optimization parameter effects on the strength of the three-dimensional printing (3d printing) fused deposition modelling (fdm) process
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2021
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69868
_version_ 1698698281171812352
score 13.18916