Access Type

Open Access Dissertation

Date of Award

January 2023

Degree Type

Dissertation

Degree Name

Ph.D.

Department

Mechanical Engineering

First Advisor

Omid Samimi-Abianeh

Abstract

The gas temperature and concentration of carbon monoxide and carbon dioxide of a hydrocarbon fuel mixture were measured using a rapid compression machine by applying a modern optical diagnostics methodology called the corrected filtered natural emission of species (C-FNES) technique. This technique uses a correction factor that includes all of the experimental and simulation errors and uncertainties into the measurements. To ensure the robustness of the proposed technique, the effect of temperature and pressure on the measured data was investigated extensively. To this end, a pentane inert mixture was tested in a wide range of operation conditions: six compressed gas pressures (2, 4, 9, 14, 20, and 25 bar), four compressed gas temperatures (638, 659, 687, and 730 K), and three spectral ranges (4.35-4.55 µm, 4.069-4.445 µm, and 4.545-4.785 µm). It was concluded that the correction factor does not depend on the pressure, while it is a very weak function of the temperature.The proposed technique was validated using the available LAS-measured data in the literature. The maximum error between these two works was 4.32%. The C-FNES technique was then applied to measure the gas temperature and species concentration of an n-pentane mixture at compressed gas pressures of 4 and 9.2 bar and the compressed gas temperature range of 646-735 K. The results showed that the proposed technique is capable of measuring the gas temperature and species concentration at the same time with an acceptable accuracy. It was observed that the measured gas temperature and species mole fractions follow the measured pressure profile very well. Zero-dimensional simulations were performed to understand the physics of the phenomenon by including the heat transfer from the core gas to the walls in the simulations. The used kinetic mechanisms were not capable of reproducing the measured data, especially when there was a considerable heat release.

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