Date of Award

Winter 2014

Degree Type

Dissertation

Degree Name

Ph.D.

Department

Physics

First Advisor

Maeva, Elena

Keywords

Pure sciences, Artworks, Layered structures, Non-destructive evaluation, Thermography

Rights

CC BY-NC-ND 4.0

Abstract

Quality control of modern materials is of the utmost importance in science and industry. Methods for nondestructive evaluation of material properties and the presence of defects are numerous. They differ in terms of their sensitivity and applicability in various conditions, and they provide different kinds of data such as the speed of sound in the material, its hardness, radiation absorption, etc. Based on measured characteristics an analyst makes a decision on the material studied. This work addresses a class of methods known as active thermographic analysis. Thermography analyzes the temperature of the surface of the sample under different external conditions. By keeping track of temperature changes at the surface caused by a deposition of heat on the sample one can determine its material properties such as theand processing the data captured it is possible to make decisions on parameters of this sample. Among the data which can be acquired are such important information as the location of internal defects (e.g., detachments, hollows, inclusions), thickness of the material layers, thermal parameters of the material and the location of internal defects (e.g., detachments, hollows, inclusions). The first part of this research investigates a method for analysis of layered composite materials using the approach based on interference of so called temperature waves. As demonstrated using the expressions derived, one can determine the thermal properties of the layers of the sample by applying a harmonically modulated heat flux to the surfaces and measuring the phase of the periodically changing surface temperature. This approach can be of use in the field of designing and analysis of composite thermal insulation coatings. In the second part of this work a method of analyzing objects of fine art was investigated, particularly - detection of subsurface defects. In the process of preserving art it is of primary importance to determine whether restoration is necessary. Moreover, this analysis should be done on a regular basis to prevent defects from increasing in size over time. Conventional methods, such as infrared photography and X-ray radiography may not be suitable for this application, because most of detachments are too deep for infrared to reach them, and too thin for providing enough contrast on X-ray images. This highlights the need for the development of methodsfor detection of hidden defects and structure of art pieces to detect the structure of art pieces and any hidden defects present. Thermography has strong potential as a tool for non-invasive analysis of works of art and only recently has it been actively promoted into this field. However, due to the general unpredictability of the structure of brushstrokes as well as the properties of paint, it is difficult to apply a physical model to the analysis of paintings. In addition, an improved method is proposed. This proposed method is mainly based on PCT, but it is capable of returning clear images of subsurface defects and the structure of the support. Unlike standard PCT images, the images acquired by this method do not exhibit visually similar features.

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