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Technical Paper

Diesel Fuel Properties and Additive Effects on Dl Injector Deposit Formation

1993-10-01
932738
A test was developed by the Cummins Engine Company to evaluate Diesel fuel quality and potential additive effects. This test utilizes a Cummins L10 Diesel engine with a PT fuel system and stepped plunger injectors. A modified CRC rating system is used to quantify deposit levels. This paper further investigates the L10 Injector Depositing Test and will focus on Diesel fuel and additive variables. In the original work, the bulk of the data was collected on an industry standard reference fuel, Cat 1-H, as opposed to commercially available Diesel fuels. Commercially available Diesel fuel varies in composition with regard to sulfur level, percent aromatics, final distillation end point, and cetane number. To evaluate these fuel properties and their possible effects on injector deposit formation, two test matrices were designed. The first experiment is a 12-run fractional factorial design with four factors: additive level, sulfur, aromatics, and 90 percent distillation point (T90).
Technical Paper

Development of an Image Analysis System to Rate Injectors from the Cummins L10 Injector Depositing Test

1997-10-01
972902
This paper describes the development of a image analysis system that can be used to rate injectors from the Cummins L10 Injector Depositing Test. In the procedure, injectors are mounted on a computer controlled turntable and scanned using a CCD camera focused on the labyrinth flow area of the injector. The scanned monochrome images are processed and assigned an average gray scale rating. Results from the image analysis system are compared to the modified CRC Piston and Ring Rating method currently used within the Cummins test procedure. To do this, a series of injectors that have been rated by trained raters at a recent workshop were also rated via the image analysis system. The image analysis system ratings demonstrated a strong correlation (R = 0.85) to the CRC ratings. Using these same injectors, the image analysis method shows improvements in repeatability and reproducibility of approximately 50% over the current procedure.
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