Paper
8 August 2001 Investigation of combustion in a gasoline engine using spectrophotometric methods
Jacek Hunicz, Dariusz Piernikarski
Author Affiliations +
Proceedings Volume 4516, Optoelectronic and Electronic Sensors IV; (2001) https://doi.org/10.1117/12.435940
Event: Optoelectronic and Electronic Sensors IV, 2000, Gliwice, Poland
Abstract
Spectrophotometric methods provide many new possibilities of investigation of combustion process in the automotive engine with spark ignition. Emission spectrum of the flames from the combustion chamber provides valuable information, which is difficult or even not accessible with the aid of other measurement methods. Spectral analysis allows to evaluate concentration of active compounds present in flames, which do not constitute final products of combustion. Concentration of radicals depends on some combustion parameters such as air-fuel ratio. The paper describes an engine test stand equipped with fiber-optic measurement system. The measurement system consists of an optical sensor mounted in the engine head, fiber-optic bundle for signal transmission, grating monochromator and photodetector. Voltage signal from the photodetector is recorded by the PC- based data acquisition system. The main aim of research was to verify usability of the designed fiber-optic measurement system in combustion diagnosis and to develop a method of evaluation of the air-fuel ratio on the base of simplified spectral analysis of the emission during combustion process in an automotive gasoline engine.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jacek Hunicz and Dariusz Piernikarski "Investigation of combustion in a gasoline engine using spectrophotometric methods", Proc. SPIE 4516, Optoelectronic and Electronic Sensors IV, (8 August 2001); https://doi.org/10.1117/12.435940
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Cited by 12 scholarly publications.
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KEYWORDS
Combustion

Sensors

Fiber optics

Photodetectors

Fiber optics tests

Fiber optics sensors

Data acquisition

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