Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYap, Yee Lingen_US
dc.contributor.authorTan, Edgar Yong Shengen_US
dc.contributor.authorTan, Joel Heang Kuanen_US
dc.contributor.authorPeh, Zhen Kaien_US
dc.contributor.authorLow, Xue Yien_US
dc.contributor.authorYeong, Wai Yeeen_US
dc.contributor.authorTan, Colin Siang Huien_US
dc.contributor.authorLaude, Augustinusen_US
dc.identifier.citationYap, Y. L., Tan, E. Y. S., Tan, J. H. K., Peh, Z. K., Low, X. Y., Yeong, W. Y., . . . Laude, A. (2017). 3D printed bio-models for medical applications. Rapid Prototyping Journal, 23(2), 227-235. doi:10.1108/rpj-08-2015-0102en_US
dc.description.abstractPurpose - The design process of a bio-model involves multiple factors including data acquisition technique, material requirement, resolution of the printing technique,cost effectiveness of the printing process and end use requirements.This paper aims to compare and highlight the effects of these design factors on the printing outcome of bio-models. Design/methodology/approach - Different data sources including engineering drawing, computed tomography (CT), and optical coherence tomography (OCT) were converted to a printable data format. Three different bio-models, namely, an ophthalmic model, a retina model and a distal tibia model, were printed using two different techniques, namely, PolyJet and fused deposition modelling. The process flow and 3D printed models were analysed. Findings - The data acquisition and 3D printing process affect the overall printing resolution. The design process flows using different data sources were established and the bio-models were printed successfully. Research limitations/implications - Data acquisition techniques contained inherent noise data and resulted in inaccuracies during data conversion. Originality/value - This work showed that the data acquisition and conversion technique had a significant effect on the quality of the bio-model blueprint and subsequently the printing outcome. In addition, important design factors of bio-models were highlighted such as material requirement and the cost-effectiveness of the printing technique. This paper provides a systematic discussion for future development of an engineering design process in three-dimensional (3D) printed bio-models.en_US
dc.relation.ispartofRapid Prototyping Journalen_US
dc.rights© 2017 Emerald Publishing Limited. All rights reserved. This paper was published in Rapid Prototyping Journal and is made available with permission of Emerald Publishing Limited.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.title3D printed bio-models for medical applicationsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Materials Science and Engineeringen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.researchSingapore Centre for 3D Printingen_US
dc.description.versionAccepted versionen_US
dc.subject.keywordsRapid Prototypingen_US
dc.subject.keywords3D Printingen_US
item.fulltextWith Fulltext-
Appears in Collections:MAE Journal Articles
Files in This Item:
File Description SizeFormat 
RPJ 3D Printed Bio-model Accepted Manuscript.pdf1.02 MBAdobe PDFView/Open

Citations 10

Updated on Jan 28, 2023

Web of ScienceTM
Citations 10

Updated on Jan 30, 2023

Page view(s)

Updated on Jan 31, 2023

Download(s) 10

Updated on Jan 31, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.