Reverse Engineering of 3-D Point Cloud into NURBS Geometry

Reverse Engineering of 3-D Point Cloud into NURBS Geometry

Bibliographic Details
Main Author: Joshi, Shriyanka
Language:English
Published: University of Cincinnati / OhioLINK 2020
Subjects:
Mechanical Engineering
reverse engineering
point clouds
CAD
NURBS
mesh
scan data
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595849563494564
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin15958495634945642021-08-03T07:16:02Z Reverse Engineering of 3-D Point Cloud into NURBS Geometry Joshi, Shriyanka Mechanical Engineering reverse engineering point clouds CAD NURBS mesh scan data 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. 2020-11-04 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595849563494564 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595849563494564 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Mechanical Engineering
reverse engineering
point clouds
CAD
NURBS
mesh
scan data
spellingShingle Mechanical Engineering
reverse engineering
point clouds
CAD
NURBS
mesh
scan data
Joshi, Shriyanka
Reverse Engineering of 3-D Point Cloud into NURBS Geometry
author Joshi, Shriyanka
author_facet Joshi, Shriyanka
author_sort Joshi, Shriyanka
title Reverse Engineering of 3-D Point Cloud into NURBS Geometry
title_short Reverse Engineering of 3-D Point Cloud into NURBS Geometry
title_full Reverse Engineering of 3-D Point Cloud into NURBS Geometry
title_fullStr Reverse Engineering of 3-D Point Cloud into NURBS Geometry
title_full_unstemmed Reverse Engineering of 3-D Point Cloud into NURBS Geometry
title_sort reverse engineering of 3-d point cloud into nurbs geometry
publisher University of Cincinnati / OhioLINK
publishDate 2020
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595849563494564
work_keys_str_mv AT joshishriyanka reverseengineeringof3dpointcloudintonurbsgeometry
_version_ 1719458117453873152

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