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Development and characterization of a mobile photoacoustic sensor for on-line soot emission monitoring in diesel exhaust gas

机译:用于柴油机尾气在线烟尘排放监测的移动光声传感器的开发与特性

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摘要

Upcoming regulations for vehicle exhaust emission demand substantial reduction of particle emission in diesel exhaust. To achieve these emission levels, the car manufacturing industry is developing new combustion concepts and exhaust after-treatment techniques such as the use of catalysts and particle filters. Many of the state-of-the-art analytical instruments do not meet the required detection limits, in combination with a high temporal resolution necessary for engine optimization. This paper reports a new detection system and the first results of its application to on-line diesel exhaust soot measurements on a engine test bench (MAN diesel engine facility Nurnberg, Germany). The instrument is based on differential photoacoustic (PA) spectroscopy of black carbon aerosol. It contains two identical PA cells, one for the measurement of the aerosol particles and one which analyses the particle-free gas. Thus, a potential cross-sensitivity to gaseous absorbers in the exhaust gas can be excluded. The PA cells were characterized in a laboratory set-up, which water vapor as reference gas and artificial soot generated by a spark discharge generator. The detection limit was found to be 2 μg m~(-3) BC (for diesel soot) with a sampling rate of 3 Hz. The temporal response of the system was found to be in the order of 1 s. After full characterization of the cells, the system was transferred into a mobile 19"-rack. Characterization of the mobile sensor system under real-world conditions was performed during several measurement campaigns at an engine test bench for heavy-duty diesel engines. Results for the limit of detection, the time resolution, accuracy, repeatability, and robustness of the sensor system are very promising with regards to a routine application of the system in engine development.
机译:即将出台的汽车尾气排放法规要求大幅减少柴油机尾气中的颗粒排放。为了达到这些排放水平,汽车制造业正在开发新的燃烧概念和排气后处理技术,例如使用催化剂和颗粒过滤器。许多最先进的分析仪器都无法满足所需的检测极限,并且结合了发动机优化所需的高时间分辨率。本文报告了一种新的检测系统,并将其首次应用于发动机测试台(德国曼柴油机厂纽伦堡)的在线柴油机排气烟灰测量。该仪器基于黑碳气溶胶的差分光声(PA)光谱。它包含两个相同的PA电池,一个用于测量气溶胶颗粒,另一个用于分析无颗粒气体。因此,可以排除对废气中的气态吸收剂的潜在交叉敏感性。在实验室设置中对PA电池进行了表征,其中水蒸气作为参考气体,由火花放电发生器产生人造烟灰。发现检出限为2μgm〜(-3)BC(对于柴油机烟灰),采样率为3 Hz。发现系统的时间响应约为1 s。对电池进行全面表征后,将系统转移到19英寸移动式机架中。在实际条件下,对移动传感器系统的表征是在重型柴油发动机的发动机测试台的几次测量活动中进行的。就系统在发动机开发中的常规应用而言,传感器系统的检测极限,时间分辨率,准确性,可重复性和耐用性非常有前途。

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