高压燃油喷雾中循环湍流燃烧的代表性现象

IF 2 3区 工程技术 Q3 MECHANICS
Allen Parker, Ajay Agrawal, Joshua Bittle
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引用次数: 1

摘要

即使在稳定运行时,传统柴油内燃机的循环变化也会导致发动机排放的巨大差异。本研究使用光学可及的恒压流动室来快速连续获取燃油喷射,并使用多重高速光学诊断来分析柴油替代物正庚烷的混合、自动点火和燃烧。以前的研究使用较少的注入量和/或依赖于对总体平均行为的分析。这些方法不能提供注入到注入之间变化的信息,也不能为高保真计算流体动力学(CFD)模型验证提供利用单个注入测量的信心。在这项研究中,使用了500次大的喷射来获得包括液体长度、蒸汽穿透长度、点火延迟时间和起飞长度在内的全局参数。给出了多次注射的结果,以说明注射对注射的大变化。对这些变化的潜在来源进行了分析,得出局部的、小尺度的湍流和注入速率变化是可能的来源。然后,提出并实施了一种基于z分数的统计方法,以识别最能代表由三种不同诊断独立测量的射流边界的大量数据集的瞬时注入。这种以统计为导向的数据集筛选和整体平均分析的综合,为CFD模型验证提供了更高的可信度,该模型验证依赖于具有代表性的单次和平均注入结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Representative Phenomena of Cyclic Turbulent Combustion in High-Pressure Fuel Sprays

Cyclic variations in conventional diesel combustion engines can lead to large differences in engine out emissions even at steady operation. This study uses an optically accessible constant-pressure flow chamber to acquire fuel injections in quick succession to analyze mixing, auto-ignition, and combustion of diesel-surrogate n-heptane using multiple high-speed optical diagnostics. Prior studies have utilized fewer injections and/or they rely on analysis of ensemble average behavior. These approaches do not yield information on injection-to-injection variation or provide confidence in utilizing individual injection measurements for high-fidelity computational fluid dynamics(CFD) model validation. In this study, a large set of 500 injections is used to obtain global parameters including liquid length, vapor penetration length, ignition delay time, and lift-off length. Results for multiple injections are presented to illustrate large injection to injection variations. Potential sources for these variations are analyzed to conclude localized, small scale turbulence and rate of injection variations as the likely sources. Then, a statistical method based on z-scores is proposed and implemented to identify instantaneous injections that best represent the bulk data-set of jet boundaries measured independently by three different diagnostics. This synthesis of statistics-guided screening of data set and ensemble-average analysis offers higher confidence for CFD model validation relying upon both a representative single and average injection results.

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来源期刊
Flow, Turbulence and Combustion
Flow, Turbulence and Combustion 工程技术-力学
CiteScore
5.70
自引率
8.30%
发文量
72
审稿时长
2 months
期刊介绍: Flow, Turbulence and Combustion provides a global forum for the publication of original and innovative research results that contribute to the solution of fundamental and applied problems encountered in single-phase, multi-phase and reacting flows, in both idealized and real systems. The scope of coverage encompasses topics in fluid dynamics, scalar transport, multi-physics interactions and flow control. From time to time the journal publishes Special or Theme Issues featuring invited articles. Contributions may report research that falls within the broad spectrum of analytical, computational and experimental methods. This includes research conducted in academia, industry and a variety of environmental and geophysical sectors. Turbulence, transition and associated phenomena are expected to play a significant role in the majority of studies reported, although non-turbulent flows, typical of those in micro-devices, would be regarded as falling within the scope covered. The emphasis is on originality, timeliness, quality and thematic fit, as exemplified by the title of the journal and the qualifications described above. Relevance to real-world problems and industrial applications are regarded as strengths.
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