A study of in-cylinder combustion processes by using high speed multi-spectral infrared imaging and a robust statistical analysis method
Combustion processes in a spark-ignition engine were studied by using a high speed multi-spectral infrared camera system and a new robust statistical analysis method. Among the variables in the experiment are fuel and fuel additives. The images were obtained using Rutgers Super Imaging System, which consists of four spatial infrared cameras. The cameras are designed to be spatially aligned and their wavelengths are 3.8 mu m, 2.09 mu m, 3.48 mu m, 2.47 mu m. Each camera consists of a Pt-Si
... ts of a Pt-Si charge-coupled device with a pixel array of 64 x 64 and a depth of 12 bits. The engine used is a 1999 Ford Mustang 4.6L engine. This engine was modified to allow optical access by means of a bowditch method. The piston was redesigned for this study. Instead of graphite rings, metallic rings and oil lubricant were used to seal the combustion chamber. A statistical analysis tool (CASAT) was developed to analyze infrared images. Thistool included multiple methods for statistically analyzing the fuels, most notably the novel method time derivative spatial averaging (TDSA). The ultimate goal of the research was to verify the capabilities of the TDSA method. This was achieved via a blind study, consisting of 10 unknown fuels; 2 base fuels and 8 fuels with additives. The results of the TDSA method predicted four fuels had various amounts of an octane improver, and the other four had a cetane improver. The actual results were octane improver and combustion enhancer. The effects of a cetane improver of gasoline and the effects of a combustion enhancer of gasoline are very similar.