Livengood-Wu integration model is acknowledged as a relatively simple but fairly accurate autoignition prediction method which has been widely recognized as a methodology predicting knock occurrence of a spark-ignition (SI) engine over years. Fundamental idea of the model is that the chemical reactivity of fuel under a certain thermodynamic test condition can be represented by inverse of the acquired ignition delay. However, recent studies show that the predictability of the model seems to deteriorate if the tested fuel exhibits negative temperature coefficient (NTC) behavior which is primarily caused by two-stage ignition characteristics. It is convincing that the cool flame exothermicity during the first ignition stage is a major cause that limits the prediction capability of the integration model, therefore a new ignition delay concept based on cool flame elimination is introduced in order to minimize the thermal effect of the cool flame. In this study, knock occurrence of iso-octane and its blend with n-heptane in an SI engine simulation in accordance with their autoignition characteristics is investigated by comparing the Livengood-Wu integration results while providing both the cool-flame affected and eliminated ignition delay data. Results show that the predictability of the model is improved by minimizing thermal contribution of the cool flame phenomenon. Along with that, rapid compression machine (RCM) experiments are designed and conducted to reproduce the reactivity-integration process of the unburned gas in an SI engine for NTC-affected fuels while minimizing cool flame appearance.


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    Title :

    Knock Prediction of Two-Stage Ignition Fuels with Modified Livengood-Wu Integration Model by Cool Flame Elimination Method


    Additional title:

    Sae Technical Papers


    Contributors:
    Song, Han Ho (author) / Song, Hwasup (author)

    Conference:

    SAE 2016 International Powertrains, Fuels & Lubricants Meeting ; 2016



    Publication date :

    2016-10-17




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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