Characterisation of diesel engine mixture formation using laser-induced fluorescence imaging
使用激光诱导荧光成像表征柴油发动机混合物的形成
基本信息
- 批准号:315067718
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:
- 资助国家:德国
- 起止时间:
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The aim of the project is to develop a measurement method based on laser-induced fluorescence (LIF) for the simultaneous determination of fuel density and temperature to characterize transcritical spray processes, which are highly relevant in a wide range of energy and process engineering systems as well as in pharmaceutical applications. The technique is now being further developed for measurements in the droplet surrounding. For the identification of the liquid phase, the detection and evaluation concept will be extended by a setup for planar Mie scattering and a microscopic LIF setup. Due to current developments, the focus will be less on multiple injections in the IC engine and more on the fundamental analysis of the transcritical injection process under simplified conditions in a measuring cell. This project is intended to contribute to a better understanding of the physical behavior of droplet evaporation or diffusive mixing as well as mixture formation during transcritical injection. It will also provide comprehensive reference data for the development and validation of models and numerical simulation approaches, some of which fail to predict transcritical mixing behavior.Investigations of transcritical injections are carried out with model fuels (such as n-heptane, isooctane), which are relevant for a wide range of technical processes. The fuels can also affect the fluorescence signal as collision partners. Therefore, the influence of other application-relevant fuels on the LIF signal is also investigated, such as ethanol or synthetic oxygenated fuels like POMDME (polyoxymethylene dimethyl ether). In this context, the effect of methane admixture on the LIF signal is also analyzed, which is important for accurate mixture formation studies in dual-fuel engines. Microscopic and macroscopic measurements of fuel density and gas temperatures under variable boundary conditions will be performed. As a sub-objective, characteristics for the assessment of transcritical injection will be determined. This includes e.g. the identification of areas in the spray with phase change or the transition to diffusive mixing. Times for evaporation or lifetimes until the supercritical state is reached will be determined, for which no quantitative studies are available to date. As a further sub-objective, quantities for assessing the mixture formation are determined, such as the penetration depth and the spray angle of the gas and liquid phases. Furthermore, the "gas entrainment" will be quantified. The data will be compared with models, which will be modified and extended accordingly. All investigations are carried out in a calibration cell modified for this purpose, which enables accurate measurements at precisely adjustable temperatures and tracer concentrations.
该项目的目的是开发一种基于激光诱导荧光(LIF)的测量方法,用于同时测定燃料密度和温度,以表征跨临界喷雾过程,这在广泛的能源和过程工程系统以及制药应用中具有高度相关性。这项技术目前正在进一步开发,用于在液滴周围进行测量。对于液相的识别,探测和评估的概念将通过平面Mie散射和微观LIF设置进行扩展。由于目前的发展,人们将更少地关注内燃机的多次喷射,而更多地关注在测量单元中简化条件下的跨临界喷射过程的基本分析。该项目旨在帮助更好地了解液滴蒸发或扩散混合的物理行为,以及跨临界喷射过程中混合物的形成。它还将为开发和验证模型和数值模拟方法提供全面的参考数据,其中一些方法无法预测跨临界混合行为。跨临界喷射的研究使用与广泛技术过程相关的模型燃料(如正庚烷、异辛烷)。作为碰撞伙伴,燃料也会影响荧光信号。因此,还研究了其他与应用相关的燃料对激光诱导荧光信号的影响,如乙醇或合成含氧燃料,如POMDME(聚甲醛二甲醚)。在此背景下,还分析了甲烷混合气体对LIF信号的影响,这对于研究双燃料发动机的准确混合气形成具有重要意义。将对可变边界条件下的燃料密度和气体温度进行微观和宏观测量。作为一个子目标,将确定跨临界喷射的评估特征。这包括识别喷雾中具有相变或向扩散混合过渡的区域。蒸发的时间或达到超临界状态的寿命将被确定,但迄今为止还没有定量的研究。作为一个更进一步的子目标,确定了用于评估混合物形成的数量,如穿透深度和气相和液体的喷雾角度。此外,“气体夹带”将被量化。数据将与模型进行比较,模型将进行相应的修改和扩展。所有的研究都是在为此目的改装的校准池中进行的,这使得能够在精确可调的温度和示踪剂浓度下进行准确的测量。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Professor Dr.-Ing. Lars Zigan其他文献
Professor Dr.-Ing. Lars Zigan的其他文献
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{{ truncateString('Professor Dr.-Ing. Lars Zigan', 18)}}的其他基金
Development of laser-induced phosphorescence technique for visualisation of temperature and flow fields in IC engines
开发用于内燃机温度和流场可视化的激光诱导磷光技术
- 批准号:
249077371 - 财政年份:2014
- 资助金额:
-- - 项目类别:
Research Grants
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