Date of Award:

12-2021

Document Type:

Thesis

Degree Name:

Master of Science (MS)

Department:

Mechanical and Aerospace Engineering

Department name when degree awarded

Mechanical Engineering

Committee Chair(s)

Ryan Berke

Committee

Ryan Berke

Committee

Juhyeong Lee

Committee

Hailei Wang

Abstract

Digital Image Correlation (DIC) is a camera-based method of measuring mechanical displacement and strain which is commonly used in high-temperature experiments due to its ability to take contactless measurements. High-temperature DIC is challenging due to light emitted from the sample which can saturate the camera sensor. Blue-DIC and UV-DIC have been developed to minimize this effect, but the maximum sample temperature range of DIC remains a function of the camera and camera settings. Bit depth, also referred to as color depth or number of bits, is an important camera setting which affects the dynamic range of an image, but which has received insufficient attention in DIC literature. In this work, the effect of bit depth on DIC measurements is investigated both analytically and experimentally. If image noise is sufficiently low, increasing bit depth reduces DIC random error. Using increased bit depth and reduced exposure time, the maximum sample temperature for DIC measurements was shown to increase without negative impact on measurement precision.

Checksum

75678a5c6b24b1cbee4545667ec5cd92

Download

Share

COinS

Copyright for this work is retained by the student. If you have any questions regarding the inclusion of this work in the Digital Commons, please email us at .