Prediction of soot emission from a diesel engine by using phenomenological soot formation model modified by the concept of threshold sooting index

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  • YAMAMOTO Shohei
    Department of Advanced Science and Technology, Toyota Technological Institute
  • TAKENO Keiji
    Department of Advanced Science and Technology, Toyota Technological Institute

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Other Title
  • アルコール混合油を燃料としたディーゼル機関からのすす排出量予測（すす生成特性値による修正現象論モデル）

Abstract

The existing phenomenological soot model, which unburned fuel is considered soot precursor, cannot predict the soot emission of alcohol blend fuel with high accuracy. Therefore, we proposed to introduce the coefficient Keff including the concept of Threshold Sooting Index (TSI) which quantitatively expresses the fuel sooting tendency of blend fuel. In this research, for more accurate prediction of soot emission we conducted the elementary reaction analysis of blend fuel using reduced mechanism for n-heptane, n-butanol and Polycyclic Aromatic Hydrocarbon (PAH) with 76 species and 349 reactions. Based on the clarified relationship between pyrene (A4) and TSI, we derived the equation through which Keff is calculated. By using the equation, the accuracy of the soot emission prediction was improved particularly in the low alcohol blend rate.

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