摘要

Property prediction models are important for optimizing the blending ratio of diesel oils. Based on experiments of different blending ratios, published prediction models for freezing point were modified, a published model for cetane number was checked, and a new model for cold filter plugging point was developed. The accuracy of model prediction was quite good. Based on these models, a nonlinear programming method is more suitable for the ratio optimization of blending that makes the best use of poor blending components.

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