Dimensional Accuracy And Surface Roughness Of Part Features Manufactured By Open Source 3D Printer

Alkahari, Mohd Rizal and Ramli, Faiz Redza and Faudzie, M. S. M and Nazan, Muhammad Afdhal and Sudin, Mohd Nizam and Mat, Shafizal and Khalil, Siti Nurhaida (2018) Dimensional Accuracy And Surface Roughness Of Part Features Manufactured By Open Source 3D Printer. ARPN Journal Of Engineering And Applied Sciences, 13. p. 1139. ISSN 1819-6608

Text jeas_0218_6784.pdf - Published Version Download (224kB)

Abstract

This paper investigates the effectiveness and the accuracy of open source 3D printer of Mendel Max and Kossel Mini which the additive manufacturing technique of Fused Filament Fabrication (FFF) was implemented.A benchmark of the 3D printer test model was designed based on critical features of AM process i.e. hemispheres, cube,cylindersand slots.The benchmark was produced by both machines using variation FFF parameters of layer height and infill density.In addition,the material of FFF was varied between PLA and ABS for each test.The dimensional accuracy of the part features were measured by the nominal dimension of the part using Profile Projector DS600.In addition,TR200 roughness tester was used to measure the surface roughness.The result shows that for dimensional accuracy results,Mendel Max machine has a lower deviation result compared to Kossel machine. Furthermore,PLA filament gives better result compare to ABS filament in term of surface quality finishing for both machines.The result shows that for both 3D printer machines,the quality and accuracy of the part features are better when the layer thickness is 0.178 and 20% of infill density.

Item Type:	Article
Uncontrolled Keywords:	dimensional accuracy, low cost 3D printer, FFF, FDM, additive manufacturing.
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Mechanical Engineering
Depositing User:	Mohd. Nazir Taib
Date Deposited:	07 May 2019 07:33
Last Modified:	27 Aug 2021 07:29
URI:	http://eprints.utem.edu.my/id/eprint/22910
Statistic Details:	View Download Statistic

Actions (login required)

View Item