Utilising Digital Image Correlation for Strain Measurement of Materials / Sanford, Lim Sen Hui
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TextPublication details: Brunei Darussalam : Universiti Teknologi Brunei , © 2023. Description: iv, 48 Pages : color illustrations, photographs ; 30 cmSubject(s): -- Thesis Universiti Teknologi Brunei | Digital image processing -- Industrial applications | Strain measurement | Materials -- Testing | Image analysisOther classification: UTB 120 REPORT, THEISS & DISSERTATION | RTDS 389 Dissertation note: Thesis ( degree of Master of Science )
| Item type | Current library | Call number | Status | Notes | Date due | Barcode |
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Reports, Thesis & Dissertation Students
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Universiti Teknologi Brunei Library - at level 2 | UTB 120 REPORT, THESIS & DISSERTATION, RTDS 389 (Browse shelf(Opens below)) | Not for loan | Reg. no. 002272_UTB [RTDS 389] | 850381 |
Submitted in partial fulfillment of the requirements for the degree of Master of Science.
Abstract
Digital Image Correlation (DIC) is an optical technique that visualizes strain measurements of materials under load without physical contact. It produces two-dimensional images of pixel displacement, which can be interpreted based on motion relative to the undeformed sample. This project involves laboratory experiments and computer simulations for analysis. A DIC setup includes a Universal Testing Machine (UTM), a personal phone camera, light sources, a laptop for processing images, and Ncorr software, an open-source 2-dimensional DIC software within MATLAB.
Dog bone-shaped from aluminum sheets are fabricated in a workshop and an open-source software is used to generate a random speckle pattern. The pattern is applied to the samples along the gauge length, allowing Ncorr software to characterize individual subsets. The experimental variables are the thickness of the dog bone-shaped aluminum samples subjected to load, with thicknesses of 1 mm, 2 mm, and 3 mm. Validation of DIC results involves data from the load against displacement graph from the UTM. The DIC results provide displacement at each time interval, synchronized with the UTM tensile test duration. Pixel quality of cameras affects the accuracy and reliability of DIC results. The experimental setup uses a 10 Megapixel camera recording at 1080p at 30 frames per second, is chosen based on storage space and available DIC processing memory. Post-processing of images can reduce noise, increase sharpness, and maintain high contrast between white and dark spots. The accuracy of DIC results can also be determined by comparing the percentage difference in displacement between DIC results and UTM tensile test results.
This research has novelty in knowledge advancement as this portable setup can be utilized in Universiti Teknologi Brunei's Material Testing Centre to measure material behavior and verify the results from the traditional FEA methods.
Thesis ( degree of Master of Science )
Includes bibliography references.
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