确定CFR发动机在RON条件下爆震预测和鲁棒化学机理验证的边界条件

Saif Salih, D. DelVescovo, Christopher P. Kolodziej, T. Rockstroh, Alexander Hoth
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引用次数: 1

摘要

为了在真实发动机环境中建立一个评估化学动力学机制(详细或简化)的途径,开发了一个经过充分研究的CFR发动机的GT Power模型,并根据RON条件下主要参考燃料混合物在60至100之间的实验数据进行了验证。CFR发动机模型采用了预测湍流火焰传播子模型,并实现了化学动力学求解器来求解末端气体化学。同时进行热力学和化学动力学参数的验证过程,以匹配IVC条件,燃烧速率和爆震预测。最近发表的一种动力学机制在GT-Power中实现了,并且发现过度预测了异辛烷和PRF混合物的低温热释放,导致与实验相比提前爆震开始相位。对异辛烷和正庚烷途径的三种反应速率进行了动力学机制调整,以匹配实验爆点值,与实验相比,在爆点起始阶段、燃烧速率和热力学条件方面取得了非常好的一致性。该模型给出了CFR发动机在RON工况下的初始/边界条件,包括IVC温度和压力、MFB剖面、残余馏分和成分。然后将这些条件作为CFR发动机压缩比的函数进行关联,并在Chemkin Pro中的0-D SI发动机模型中实现,以演示当前工作的应用。Chemkin Pro和GT-Power模拟提供了几乎相同的结果,尽管传热模型和化学动力学求解器存在显着差异。这项工作提供了必要的框架,通过该框架,可以根据PRF混合物在真实发动机环境中的爆震趋势,开发、评估和调整强大的化学动力学机制。
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Defining the Boundary Conditions of the CFR Engine Under RON Conditions for Knock Prediction and Robust Chemical Mechanism Validation
In order to establish a pathway to evaluate chemical kinetic mechanisms (detailed or reduced) in a real engine environment, a GT Power model of the well-studied Cooperative Fuels Research (CFR) engine was developed and validated against experimental data for primary reference fuel blends between 60 and 100 under RON conditions. The CFR engine model utilizes a predictive turbulent flame propagation sub-model, and implements a chemical kinetic solver to solve the end-gas chemistry. The validation processes were performed simultaneously for thermodynamic and chemical kinetic parameters to match IVC conditions, burn rate, and knock prediction. A recently published kinetic mechanism was implemented in GT-Power, and was found to over-predict the low temperature heat release for iso-octane and PRF blends, leading to advanced knock onset phasing compared to experiments. Three reaction rates in the iso-octane and n-heptane pathways were tuned in the kinetic mechanism in order to match experimental knock-point values, yielding excellent agreement in terms of the knock onset phasing, burn rate, and the thermodynamic conditions compared to experiments. This developed model provides the initial/boundary conditions of the CFR engine under RON conditions, including IVC temperature and pressure, MFB profile, residual fraction and composition. The conditions were then correlated as a function of CFR engine compression ratio, and implemented in a 0-D SI engine model in Chemkin Pro in order to demonstrate an application of the current work. The Chemkin Pro and GT-Power simulations provided nearly identical results despite significant differences in heat transfer models and chemical kinetic solvers. This work provides the necessary framework by which robust chemical kinetic mechanisms can be developed, evaluated, and tuned, based on the knocking tendencies in a real engine environment for PRF blends.
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