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Development of Flow Uniformity Indices for Performance Evaluation of Aftertreatment Systems

机译:后处理系统绩效评估的流动均匀性索引

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With the on- and off-road diesel engine emission regulations getting more stringent across the world, diesel aftertreatment systems are expected to deliver outstanding performance and reliability. These objectives should be met by fulfilling tight packaging constraints and incurring only modest material and testing costs. A major strategy for meeting these often conflicting requirements is the effective use of simulation tools such as computational fluid dynamics (CFD) in system design and performance evaluation. Prerequisites for using this CFD analysis-led-design approach, however, are knowledge of the confidence level of the predictions and knowledge of the appropriate transfer functions that establish the relationships between the measured performance parameters and model predictions. The primary aim of the present work is to develop statistically and physically relevant measures that assess the uniformity of flow in aftertreatment systems. Most commonly, a flow distribution index based on L1 norm has been used for quantifying flow uniformity. The index proposed in the present work is based on the L2 norm thereby making it more sensitive to flow maldistribution. Key statistical advantages of the proposed index are first discussed. Then, CFD predictions of flow velocities and indices are compared with experimental measurements made under realistic flow and measurement location conditions for various geometries and flow rates. Main sources of uncertainties in measurements and predictions are identified and discussed. Discussions on the use of L2 norm based indices in assessing exhaust gas species and temperature uniformity are also provided.
机译:随着越野的柴油发动机排放法规在全球变得更加严格,预计柴油后处理系统将提供出色的性能和可靠性。应通过满足紧密的包装限制和仅产生适度的材料和测试成本来满足这些目标。满足这些经常相互冲突的要求的主要策略是有效利用系统设计和性能评估中的计算流体动力学(CFD)等仿真工具。然而,使用此CFD分析 - LED设计方法的先决条件是知识的知识了解建立测量性能参数与模型预测之间的关系的适当传输函数的置信度和知识。本工作的主要目的是在统计上和物理相关的措施中,评估后处理系统中流动的均匀性。最常见的是,基于L1标准的流分布指数已用于量化流均匀性。本作工作中提出的指数基于L2规范,从而使其对流动的恶性来说更敏感。首先讨论拟议指数的关键统计优势。然后,将流速和索引的CFD预测与在实际流动和测量位置条件下进行的实验测量进行比较,用于各种几何形状和流速。确定并讨论了测量和预测中的主要不确定性的主要来源。还提供了关于在评估废气物种和温度均匀性时使用L2 Norm基础索引的讨论。

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