首页> 外文期刊>Journal of Engineering for Gas Turbines and Power >A Predictive Ignition Delay Correlation Under Steady-State and Transient Operation of a Direct Injection Diesel Engine
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A Predictive Ignition Delay Correlation Under Steady-State and Transient Operation of a Direct Injection Diesel Engine

机译:直喷式柴油机稳态和瞬态运行下的预测点火延迟相关性

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摘要

Available correlations for the ignition delay in pulsating, turbulent, two-phase, reacting mixtures found in a diesel engine often have limited predictive ability, especially under transient conditions. This study focuses on the development of an ignition delay correlation, based on engine data, which is suitable for predictions under both steady-state and transient conditions. Ignition delay measurements were taken on a heavy-duty diesel engine across the engine speed/load spectrum, under steady-state and transient operation. The dynamic start of injection was calculated by using a skip-fire technique to determine the dynamic needle lift pressure from a measured injection pressure profile. The dynamic start of combustion was determined from the second derivative of measured cylinder pressure. The inferred ignition delay measurements were correlated using a modified Arrhenius expression to account for variations in fuel/air composition during transients. The correlation has been compared against a number of available correlations under steady-state conditions. In addition, comparisons between measurements and predictions under transient conditions are made using the extended thermodynamic simulation framework of Assanis and Heywood. It is concluded that the proposed correlation provides better predictive capability under both steady-state and transient operation.
机译:在柴油发动机中发现的脉动​​,湍流,两相,反应混合物中点火延迟的可用相关性通常具有有限的预测能力,尤其是在瞬态条件下。这项研究的重点是基于发动机数据的点火延迟相关性的发展,它适用于稳态和瞬态条件下的预测。在稳态和瞬态运行下,在整个发动机转速/负载范围内对重型柴油发动机进行了点火延迟测量。通过使用跳火技术计算动态喷射开始,以从测得的喷射压力曲线确定动态针头提升压力。根据测得的气缸压力的二阶导数确定动态燃烧开始。使用修正的Arrhenius表达式将推断的点火延迟测量值进行关联,以说明瞬态过程中燃料/空气成分的变化。已将相关性与稳态条件下的许多可用相关性进行了比较。此外,使用扩展的Assanis和Heywood热力学模拟框架对瞬态条件下的测量结果和预测值进行了比较。结论是,所提出的相关性在稳态和瞬态操作下均提供了更好的预测能力。

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