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K

K. Ramesh

Researcher at Indian Institute of Technology Madras

Publications -  128
Citations -  2168

K. Ramesh is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Photoelasticity & Stress intensity factor. The author has an hindex of 23, co-authored 125 publications receiving 1884 citations. Previous affiliations of K. Ramesh include Indian Institute of Technology Bombay & Indian Institutes of Technology.

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Book

Digital Photoelasticity: Advanced Techniques and Applications

TL;DR: In this article, phase shifting, Polarization Stepping and Fourier Transform Methods are used for phase unwrapping and Optically Enhanced Tiling in digital photoelasticity.
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Evaluation of stress field parameters in fracture mechanics by photoelasticity—Revisited

TL;DR: In this paper, an over-deterministic least squares technique is proposed to evaluate the mixed-mode stress field parameters by the technique of photoelasticity, which leads to a very simple software where one can idependently increase the number of terms in Mode I or Mode II series depending on the specific problem requirement until the experimental fringes are correctly modelled.
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Whole field evaluation of stress components in digital photoelasticity—Issues, implementation and application

TL;DR: In this paper, a quality guided approach for isoclinic unwrapping is developed, which uses a ten-step phase shifting approach to obtain a smooth variation of the digital photoelastic parameters over the domain.
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Digital photoelasticity – A comprehensive review

TL;DR: This review thematically classifies all the developments in digital photoelasticity and highlights the relative merits and drawbacks of the various techniques to allow an end-user to make an informed choice on the type of technique to be used in a particular situation.
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Three fringe photoelasticity ‐ use of colour image processing hardware to automate ordering of isochromatics

TL;DR: A systematic study has been carried out on how to use the red green blue (RGB) value recorded using a colour image processing system for determining fringe orders up to 3 in a fringe field and it is revealed that instead of directly using RGB values corresponding to a dark field image, if the difference of RGB values between bright and darkfield images is used, the number of noise points is less.