Andrés Marrugo, PhD
Universidad Tecnológica de Bolívar
This semester course is an introduction to optical metrology. It is aimed at graduate students in the Faculty of Engineering. We will focus on the practical and theoretical aspects of techniques in optical metrology.
At the end of the lectures, one would be able to:
This is a new course, this website will be updated as we go along.
We will be discussing the main aspects about metrology and why it is so important in manufacturing.
In this lecture we will be discussing about random data, their properties and measurement systems. We will also discuss static and dynamic characterization of measurement systems.
In this lecture we focus on practical aspects and calculations of characterization of measurement systems, calibration and uncertainty via confidence interval estimation.
For the calculations we will be using Python via Ipython (Jupyter) notebooks. Please download the Anaconda distribution that contains Python and many more scientific packages.
The notebooks for this lecture:
Exercise:
In this lecture we will discuss the Basic Optical Principles and Imaging Systems.
In this lecture we introduce several basic concepts about surface measurements and characterization. The quantification of roughness and the different roughness scores. How roughness is related to the manufacturing process.
In this lecture we describe the principles of interferometry and how it is used for measuring surfaces.
MATLAB code
Lecture 5 slides
NDfile read
In this lecture we discuss the several systems for producing phase-shifting fringe patterns and their digital analysis for recovering topographic 3D information.
Lecture 6 slides
Simulated fringe images
In this lecture we discuss the principles of Moiré and the application for measuring in-plane and out-of-plane displacements. The basics of triangulation.
In this lecture we discuss the principles of Digital Image Correlation for measuring in-plain deformations and strains. We also analyze simulation and experimental data using .