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Parametric process optimization to improve the accuracy and mechanical properties of 3D printed parts

Published online by Cambridge University Press:  28 December 2018

Amirhossein Hakamivala Open the ORCID record for Amirhossein Hakamivala [Opens in a new window] ,
Amirali Nojoomi ,
Alieh Aminian ,
Arghavan Farzadi  and
Noor Azuan Abu Osman
Amirhossein Hakamivala
Affiliation:
Department of Bioengineering, University of Texas at Arlington, Arlington, Texas, United States
Amirali Nojoomi
Affiliation:
Department of Materials Science and Engineering, University of Texas at Arlington Arlington, Texas, United States
Alieh Aminian*
Affiliation:
BEGO Implant Systems GmbH & Co. KG, Department of Research and Development, Bremen, Germany
Arghavan Farzadi
Affiliation:
Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, United States
Noor Azuan Abu Osman
Affiliation:
Department of Biomedical Engineering, University of Malaya, Kuala Lumpur, Malaysia
*
*Alieh Aminian BEGO Implant Systems GmbH & Co. KG, Department of Research and Development, Bremen, Germany. Email: aminianalieh@gmail.com
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Abstract

Investigating the mechanical properties and dimensional accuracy of 3D printed parts is an important step towards achieving optimum printing conditions. This condition, which leads to the fabrication of parts with appropriate mechanical properties and accuracy, is achieved by studying the effect of different process parameters on the final structure. In this work, Response Surface Methodology (RSM) was employed to design specified experiments to investigate the effects of layer thickness, printing orientation and delay, on the compressive strength and dimensional error of the parts. The results show that an increase in the delay time in X orientation results in better binder spreading and uniformity followed by improvement in the compression strength. Furthermore, more binder spreads in the vertical direction leads to the higher dimensional error in the Z direction. The results proved that the RSM provides a time and cost-efficient design to print the prototypes with optimum strength and dimensional error.

Keywords

3D printingmodeling
Type
Articles
Information
MRS Advances , Volume 4 , Issue 24: Processing and Manufacturing , 2019 , pp. 1383 - 1392
Copyright
Copyright © Materials Research Society 2018 

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