ERA

Download the full-sized PDF of A Machine Vision System for the Real-Time Fiber Orientation Measurement of Tubular Braided PreformsDownload the full-sized PDF

Analytics

Share

Permanent link (DOI): https://doi.org/10.7939/R3NZ8126N

Download

Export to: EndNote  |  Zotero  |  Mendeley

Communities

This file is in the following communities:

Graduate Studies and Research, Faculty of

Collections

This file is in the following collections:

Theses and Dissertations

A Machine Vision System for the Real-Time Fiber Orientation Measurement of Tubular Braided Preforms Open Access

Descriptions

Other title
Subject/Keyword
Machine vision
Braiding
Braided composites
Quality control
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Hunt, Alexander J
Supervisor and department
Carey, Jason (Mechanical Engineering)
Examining committee member and department
Ayranci, Cagri (Mechanical Engineering)
Boulanger, Pierre (Computing Science)
Department
Department of Mechanical Engineering
Specialization

Date accepted
2017-01-17T11:28:37Z
Graduation date
2017-06:Spring 2017
Degree
Master of Science
Degree level
Master's
Abstract
Braided composite materials are a class of fiber reinforced composite materials which obtain their unique material properties from the interlaced fiber structure. The fiber orientation has a critical impact on the resulting material properties of the composite component and as a result, the quality assurance of the braid angle should be an essential step in the production process. To improve the braiding process, a non-intrusive and automated braid angle measurement technique was developed using machine vision principles. The use of a CCD camera and frequency domain image processing allowed the braid angle of stationary and dynamic tubular braid preforms to be measured. This technique was found to have lower uncertainty when compared to currently used manual measurement techniques with the additional benefit of allowing measurements to be made in real-time without user interaction.
Language
English
DOI
doi:10.7939/R3NZ8126N
Rights
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
Citation for previous publication

File Details

Date Uploaded
Date Modified
2017-01-17T18:28:38.637+00:00
Audit Status
Audits have not yet been run on this file.
Characterization
File format: pdf (PDF/A)
Mime type: application/pdf
File size: 7316081
Last modified: 2017:06:13 12:10:25-06:00
Filename: Hunt_Alexander_J_201612_MSc.pdf
Original checksum: da8fec508c3df3608cd0348c2ed798f7
Activity of users you follow
User Activity Date