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36871.pdf (5.76 MB)
ETD Abstract Container
Abstract Header
Reverse Engineering of 3-D Point Cloud into NURBS Geometry
Author Info
Joshi, Shriyanka
ORCID® Identifier
http://orcid.org/0000-0002-8531-5225
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595849563494564
Abstract Details
Year and Degree
2020, MS, University of Cincinnati, Engineering and Applied Science: Mechanical Engineering.
Abstract
In the manufacturing domain, product design is the blueprint of the part. The product design is stored and represented as a solid geometric model. Sometimes, we need to bring an already manufactured part into the digital domain and re-create the blueprint for engineering design purposes. Objects are typically scanned using contact or non-contact type scanners to obtain a point cloud. The point cloud carries information about the part’s surface as coordinate data in 3-D space. This thesis outlines a novel method to reverse engineer a point cloud directly into CAD geometry, without the necessity of converting the point cloud into a 3-D mesh format such as STL. This approach is inspired by the process of layer by layer material deposition in additive manufacturing. The point cloud is processed to obtain slices of points with a uniform slice thickness. In the next step, closed B-spline curves are interpolated using the points of each slice resulting in layer-wise curve profiles. These curves are either extruded or lofted in the CAD environment from one slice to the next to obtain a solid CAD model. Concepts of Computational Geometry and Image Processing are used in this approach. Four case studies are performed to demonstrate the methodology. The results show consistent success in capturing the near net shape of the objects. An improvement in the accuracy of the final geometry can be observed upon reducing the slice thickness. However, the minimum slice thickness is limited by the density of the point cloud.
Committee
Sam Anand, Ph.D. (Committee Chair)
Manish Kumar, Ph.D. (Committee Member)
Jing Shi, Ph.D. (Committee Member)
Pages
55 p.
Subject Headings
Mechanical Engineering
Keywords
reverse engineering
;
point clouds
;
CAD
;
NURBS
;
mesh
;
scan data
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Citations
Joshi, S. (2020).
Reverse Engineering of 3-D Point Cloud into NURBS Geometry
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595849563494564
APA Style (7th edition)
Joshi, Shriyanka.
Reverse Engineering of 3-D Point Cloud into NURBS Geometry.
2020. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595849563494564.
MLA Style (8th edition)
Joshi, Shriyanka. "Reverse Engineering of 3-D Point Cloud into NURBS Geometry." Master's thesis, University of Cincinnati, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595849563494564
Chicago Manual of Style (17th edition)
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Document number:
ucin1595849563494564
Download Count:
1,007
Copyright Info
© 2020, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.