Abstract:
Laser induced fluorescence (LIF) technique have been developed into very powerful and most widely used non- instructive techniques for measurements. This work is aimed to diagnosis the gasoline engine products using laser induce fluorescence technique modeled by python language. The software developed allowed us to diagnosis the gasoline combustion products in terms of fluorescence, quantum efficiency, pressure of the emission, and lifetime. In the simulation of the laser induce fluorescence excitation wavelengths from 200 to 700 nm were used. Gasoline combustion products (COx, NOx, H2O, N2and HC [x=1,2]) have been studied. The suitable wavelength was found to be 226 nm and typically agreed with that of Nd: YAG laser operate at 266 nm wavelength which used experimentally. The samples of the carried results showed that the simulation developed to study the emission of the combustion products such as CO2 sample from the gasoline engine was confined . The relation of the quantum efficiency of the CO2 with laser wavelengths at different temperatures showed that the quantum efficiency increased as the excitation wavelength increased, the lifetime decrease as the excitation wavelength increase for carbon dioxide (CO2), the weight ratio of the CO2 influences its fluorescence, and relationship between the fluorescence and Pemission of CO2 as a function of its weight was studied and it was shown to be linear. A similar results was obtained for the rests of the gasoline combustion products. The results obtained were in good agreement with the literature experimental work.
