Advanced search
Publication Cover
Virtual and Physical Prototyping Volume 13, 2018 - Issue 3
Submit an article Journal homepage
222
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Morphological Box Classification Framework for supporting 3D scanner selection

W. L. K. Nguyena Singapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2532-754XView further author information
ORCID Icon,
A. Apriliaa Singapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeORCID Iconhttps://orcid.org/0000-0002-3152-4216View further author information
ORCID Icon,
A. Khairyantoa Singapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeView further author information
,
W. C. Panga Singapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeView further author information
,
G. G. L. Seeta Singapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeORCID Iconhttps://orcid.org/0000-0002-1505-2167View further author information
ORCID Icon &
S. B. Tora Singapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, SingaporeORCID Iconhttps://orcid.org/0000-0001-8872-3032View further author information
ORCID Icon
Pages 211-221 | Received 30 Nov 2017, Accepted 25 Jan 2018, Published online: 11 Feb 2018

References

  • Aberman, K., et al., 2017. Dip transform for 3D shape reconstruction. ACM Transactions on Graphics, 36 (4), 1–11. doi: 10.1145/3072959.3073693
  • ASTM, 2015. Standard terminology for additive manufacturing – general principles – terminology. West Conshohocken, PA: ASTM International.
  • Deng, S., and Suresh, K., 2016. Multi-constrained 3D topology optimization via augmented topological level-set. Computers & Structures, 170, 1–12. doi: 10.1016/j.compstruc.2016.02.009
  • Deng, S., and Suresh, K., 2017a. Stress constrained thermo-elastic topology optimization with varying temperature fields via augmented topological sensitivity based level-set. Structural and Multidisciplinary Optimization, 56 (6), 1413–1427. doi: 10.1007/s00158-017-1732-2
  • Deng, S., and Suresh, K., 2017b. Topology optimization under thermo-elastic buckling. Structural and Multidisciplinary Optimization, 55 (5), 1759–1772. doi: 10.1007/s00158-016-1611-2
  • Friel, K., et al., 2015. The use of 3D scanning for sporting applications. In: Three-dimensional imaging, visualization, and display 2015, 949517.
  • Georgiadis, M., et al., 2015. 3D scanning SAXS: a novel method for the assessment of bone ultrastructure orientation. Bone, 71, 42–52. doi: 10.1016/j.bone.2014.10.002
  • Grivon, D., Vezzetti, E., and Violante, M.G, 2013. Development of an innovative low-cost MARG sensors alignment and distortion compensation methodology for 3D scanning applications. Robotics and Autonomous Systems, 61 (12), 1710–1716. doi: 10.1016/j.robot.2013.06.003
  • Khairyanto, A., et al., 2016. Evaluation of 3D scanner using elimination and multi criteria decision making (MCDM) method. In: 2nd International Conference on Progress in Additive Manufacturing. Singapore.
  • Motavalli, S., and Bidanda, B., 1991. A part image reconstruction system for reverse engineering of design modifications. Journal of Manufacturing Systems, 10 (5), 383–395. doi: 10.1016/0278-6125(91)90056-8
  • Paquette, S., 1996. 3D scanning in apparel design and human engineering. IEEE Computer Graphics and Applications, 16 (5), 11–15. doi: 10.1109/38.536269
  • Pesce, M., Galantucci, L.M., and Lavecchia, F, 2016. A 12-camera body scanning system based on close-range photogrammetry for precise applications. Virtual and Physical Prototyping, 11 (1), 49–56. doi: 10.1080/17452759.2015.1101872
  • Stuyck, T., et al., 2014. HR-kinect-high-resolution dynamic 3D scanning for facial expression analysis. Available online: http://www.student.kuleuven.be/~s0200995/paper.pdf [Accessed 10 Aug 2014].
  • Viana, J.H.M., Hinduja, S., and Bártolo, P.J.S, 2016. Estimation of biometric parameters from cattle rump using free-hand scanning and a 3D data processing algorithm. Virtual and Physical Prototyping, 11 (3), 167–172. doi: 10.1080/17452759.2016.1211292

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.