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3D additive manufacture of oral and maxillofacial surgical models for preoperative planning

D. J. Thomas, M. A. B. Mohd Azmi, Z. Tehrani, Zari Tehrani Orcid Logo

The International Journal of Advanced Manufacturing Technology, Volume: 71, Issue: 9-12, Pages: 1643 - 1651

Swansea University Author: Zari Tehrani Orcid Logo

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DOI (Published version): 10.1007/s00170-013-5587-4

Abstract

This paper investigates the errors generated during the fabrication stage for producing complex anatomical replicas derived from computed tomography coupled with the 3D additive manufacturing methods. Based on this research work, it is shown that patient-specific model based on computed tomography d...

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Published in: The International Journal of Advanced Manufacturing Technology
ISSN: 0268-3768 1433-3015
Published: 2014
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URI: https://cronfa.swan.ac.uk/Record/cronfa31395
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first_indexed 2016-12-08T15:06:20Z
last_indexed 2018-02-09T05:18:15Z
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spelling 2016-12-08T11:22:16.3099538 v2 31395 2016-12-08 3D additive manufacture of oral and maxillofacial surgical models for preoperative planning fd8e614b01086804c80fbafa6fa6aaf5 0000-0002-5069-7921 Zari Tehrani Zari Tehrani true false 2016-12-08 CHEG This paper investigates the errors generated during the fabrication stage for producing complex anatomical replicas derived from computed tomography coupled with the 3D additive manufacturing methods. Based on this research work, it is shown that patient-specific model based on computed tomography data can be converted into computer numerically controlled G-code. It is shown that 3D extrusion-based additive manufacturing technology is accurate to ±3 % equating to ±200 μm surface deviations due to plastic shrinkage and distortion formed during the process. Polylactic acid plastic extrusion through a 200-μm bore nozzle has resulted in a model being produced with an Ra roughness of 35.5 μm. An evaluation on the errors generated during the fabrication process has been used to accurately produce an adult female mandible. Internal nerve channels and complex external bone geometry has been produced within the model. It is shown that using this process results in bone complexity and accuracy required for producing low-cost surgical grades models which is in comparison with traditional selective laser sintering manufacturing techniques. The surface accuracies suggest that the reproduction of anatomically complex representative structures by 3D plastic extrusion additive manufacturing which can be used for pre-surgical planning. Journal Article The International Journal of Advanced Manufacturing Technology 71 9-12 1643 1651 0268-3768 1433-3015 30 4 2014 2014-04-30 10.1007/s00170-013-5587-4 COLLEGE NANME Chemical Engineering COLLEGE CODE CHEG Swansea University 2016-12-08T11:22:16.3099538 2016-12-08T11:20:32.0852325 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemical Engineering D. J. Thomas 1 M. A. B. Mohd Azmi 2 Z. Tehrani 3 Zari Tehrani 0000-0002-5069-7921 4
title 3D additive manufacture of oral and maxillofacial surgical models for preoperative planning
spellingShingle 3D additive manufacture of oral and maxillofacial surgical models for preoperative planning
Zari Tehrani
title_short 3D additive manufacture of oral and maxillofacial surgical models for preoperative planning
title_full 3D additive manufacture of oral and maxillofacial surgical models for preoperative planning
title_fullStr 3D additive manufacture of oral and maxillofacial surgical models for preoperative planning
title_full_unstemmed 3D additive manufacture of oral and maxillofacial surgical models for preoperative planning
title_sort 3D additive manufacture of oral and maxillofacial surgical models for preoperative planning
author_id_str_mv fd8e614b01086804c80fbafa6fa6aaf5
author_id_fullname_str_mv fd8e614b01086804c80fbafa6fa6aaf5_***_Zari Tehrani
author Zari Tehrani
author2 D. J. Thomas
M. A. B. Mohd Azmi
Z. Tehrani
Zari Tehrani
format Journal article
container_title The International Journal of Advanced Manufacturing Technology
container_volume 71
container_issue 9-12
container_start_page 1643
publishDate 2014
institution Swansea University
issn 0268-3768
1433-3015
doi_str_mv 10.1007/s00170-013-5587-4
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Chemical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemical Engineering
document_store_str 0
active_str 0
description This paper investigates the errors generated during the fabrication stage for producing complex anatomical replicas derived from computed tomography coupled with the 3D additive manufacturing methods. Based on this research work, it is shown that patient-specific model based on computed tomography data can be converted into computer numerically controlled G-code. It is shown that 3D extrusion-based additive manufacturing technology is accurate to ±3 % equating to ±200 μm surface deviations due to plastic shrinkage and distortion formed during the process. Polylactic acid plastic extrusion through a 200-μm bore nozzle has resulted in a model being produced with an Ra roughness of 35.5 μm. An evaluation on the errors generated during the fabrication process has been used to accurately produce an adult female mandible. Internal nerve channels and complex external bone geometry has been produced within the model. It is shown that using this process results in bone complexity and accuracy required for producing low-cost surgical grades models which is in comparison with traditional selective laser sintering manufacturing techniques. The surface accuracies suggest that the reproduction of anatomically complex representative structures by 3D plastic extrusion additive manufacturing which can be used for pre-surgical planning.
published_date 2014-04-30T03:38:21Z
_version_ 1763751705052184576
score 11.036706

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