Analytical Point-Cloud Based Geometric Modeling for Additive Manufacturing and Its Application to Cultural Heritage Preservation

Point-cloud is a valuable piece of information for geometric modeling and additive manufacturing of different types of objects. In most cases, a point-cloud is obtained by using the 3D scanners or by using image processing. Alternatively, one can rely on an analytical approach for creating the requi...

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Main Authors: Tashi, AMM Sharif Ullah, Michiko Watanabe, Akihiko Kubo
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/8/5/656
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author Tashi
AMM Sharif Ullah
Michiko Watanabe
Akihiko Kubo
author_facet Tashi
AMM Sharif Ullah
Michiko Watanabe
Akihiko Kubo
author_sort Tashi
collection DOAJ
description Point-cloud is a valuable piece of information for geometric modeling and additive manufacturing of different types of objects. In most cases, a point-cloud is obtained by using the 3D scanners or by using image processing. Alternatively, one can rely on an analytical approach for creating the required point-cloud. In this study, we develop an analytical method that uses both equation and algorithm-based approaches for creating a point-cloud for modeling a given object (or shape). The analytically created point-cloud can then be processed by using a commercially available CAD package to create a virtual model (or solid CAD model) of the object. Finally, the virtual model can be used to create a physical model (or replica) of the underlying object using a commercially available additive manufacturing device (e.g., a 3D printer). The abovementioned procedure of analytical point-cloud based geometric modeling for additive manufacturing can be applied to preserve artifacts having cultural significance. In particular, we consider the Ainu motifs that represent the cultural heritage of Ainus living in the northern part of Japan (Hokkaido). We first classify the motifs and then model them in the form of a point-clouds using both equations and a recursive process (algorithm) proposed in this study. Finally, we create the CAD model and physical models of the artifacts having Ainu motifs on them. This way, we show the effectiveness of the analytical point-cloud based geometric modeling for additive manufacturing.
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spelling doaj.art-3952729600b24cc488da09ee4cd7288f2022-12-22T00:44:38ZengMDPI AGApplied Sciences2076-34172018-04-018565610.3390/app8050656app8050656Analytical Point-Cloud Based Geometric Modeling for Additive Manufacturing and Its Application to Cultural Heritage PreservationTashi0AMM Sharif Ullah1Michiko Watanabe2Akihiko Kubo3Graduate School of Engineering, Kitami Institute of Technology, 165 Koen-cho, Kitami 090-8507, JapanFaculty of Engineering, Kitami Institute of Technology, 165 Koen-cho, Kitami 090-8507, JapanFaculty of Engineering, Kitami Institute of Technology, 165 Koen-cho, Kitami 090-8507, JapanFaculty of Engineering, Kitami Institute of Technology, 165 Koen-cho, Kitami 090-8507, JapanPoint-cloud is a valuable piece of information for geometric modeling and additive manufacturing of different types of objects. In most cases, a point-cloud is obtained by using the 3D scanners or by using image processing. Alternatively, one can rely on an analytical approach for creating the required point-cloud. In this study, we develop an analytical method that uses both equation and algorithm-based approaches for creating a point-cloud for modeling a given object (or shape). The analytically created point-cloud can then be processed by using a commercially available CAD package to create a virtual model (or solid CAD model) of the object. Finally, the virtual model can be used to create a physical model (or replica) of the underlying object using a commercially available additive manufacturing device (e.g., a 3D printer). The abovementioned procedure of analytical point-cloud based geometric modeling for additive manufacturing can be applied to preserve artifacts having cultural significance. In particular, we consider the Ainu motifs that represent the cultural heritage of Ainus living in the northern part of Japan (Hokkaido). We first classify the motifs and then model them in the form of a point-clouds using both equations and a recursive process (algorithm) proposed in this study. Finally, we create the CAD model and physical models of the artifacts having Ainu motifs on them. This way, we show the effectiveness of the analytical point-cloud based geometric modeling for additive manufacturing.http://www.mdpi.com/2076-3417/8/5/656point-cloudadditive manufacturinggeometric modelingcultural heritageHokkaido Ainu
spellingShingle Tashi
AMM Sharif Ullah
Michiko Watanabe
Akihiko Kubo
Analytical Point-Cloud Based Geometric Modeling for Additive Manufacturing and Its Application to Cultural Heritage Preservation
Applied Sciences
point-cloud
additive manufacturing
geometric modeling
cultural heritage
Hokkaido Ainu
title Analytical Point-Cloud Based Geometric Modeling for Additive Manufacturing and Its Application to Cultural Heritage Preservation
title_full Analytical Point-Cloud Based Geometric Modeling for Additive Manufacturing and Its Application to Cultural Heritage Preservation
title_fullStr Analytical Point-Cloud Based Geometric Modeling for Additive Manufacturing and Its Application to Cultural Heritage Preservation
title_full_unstemmed Analytical Point-Cloud Based Geometric Modeling for Additive Manufacturing and Its Application to Cultural Heritage Preservation
title_short Analytical Point-Cloud Based Geometric Modeling for Additive Manufacturing and Its Application to Cultural Heritage Preservation
title_sort analytical point cloud based geometric modeling for additive manufacturing and its application to cultural heritage preservation
topic point-cloud
additive manufacturing
geometric modeling
cultural heritage
Hokkaido Ainu
url http://www.mdpi.com/2076-3417/8/5/656
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AT michikowatanabe analyticalpointcloudbasedgeometricmodelingforadditivemanufacturinganditsapplicationtoculturalheritagepreservation
AT akihikokubo analyticalpointcloudbasedgeometricmodelingforadditivemanufacturinganditsapplicationtoculturalheritagepreservation