Inline quality monitoring of diesel exhaust fluid (AdBlue) by using the 3ω method

IF 0.8 Q4 INSTRUMENTS & INSTRUMENTATION Journal of Sensors and Sensor Systems Pub Date : 2021-01-27 DOI:10.5194/JSSS-10-5-2021
R. Bernhardsgrütter, C. Hepp, M. Jägle, H. Pernau, K. Schmitt, J. Wöllenstein
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引用次数: 2

Abstract

Abstract. Because diesel combustion processes produce harmful detrimental nitrous oxides, the selective catalytic reduction, an after-treatment method using diesel exhaust fluid (AdBlue) to reduce these emissions, is an important part in the cycle of the combustion process. Therefore, it is crucial to continuously monitor the quality of the diesel exhaust fluid to secure the ideal selective catalytic reduction. This article presents a platinum thin-film sensor using the 3 ω method which is able to characterize the diesel exhaust fluid. By means of the 3 ω method, information about the concentration of urea in water can be extracted. In this investigation, a digital lock-in amplification technique is used to execute the measurements. The results show that this sensor can determine the urea content within 1 % by weight. Moreover, besides the analysis of the 3 ω signal, the 1 ω signal is analyzed in depth to receive additional information about the temperature. Because the same structure can measure multiple parameters, such as concentration, temperature, and flow, the sensor might be a good alternative to the state-of-the-art diesel exhaust fluid sensor.
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使用3ω方法对柴油机排气液(AdBlue)进行在线质量监测
摘要由于柴油燃烧过程产生有害的有害氧化亚氮,选择性催化还原是一种利用柴油排气液(AdBlue)减少这些排放的后处理方法,是燃烧过程循环中的重要组成部分。因此,持续监测柴油机排气液的质量,以确保理想的选择性催化还原效果至关重要。本文介绍了一种采用3 ω法的铂薄膜传感器,该传感器能够对柴油机排气液进行表征。利用3 ω法可以提取水中尿素的浓度信息。在本研究中,使用了数字锁相放大技术来执行测量。结果表明,该传感器可测定尿素含量在重量比1%以内。此外,除了对3 ω信号进行分析外,还对1 ω信号进行深入分析,以接收有关温度的附加信息。由于相同的结构可以测量多个参数,如浓度、温度和流量,因此该传感器可能是最先进的柴油排气流体传感器的一个很好的替代品。
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来源期刊
Journal of Sensors and Sensor Systems
Journal of Sensors and Sensor Systems INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.30
自引率
10.00%
发文量
26
审稿时长
23 weeks
期刊介绍: Journal of Sensors and Sensor Systems (JSSS) is an international open-access journal dedicated to science, application, and advancement of sensors and sensors as part of measurement systems. The emphasis is on sensor principles and phenomena, measuring systems, sensor technologies, and applications. The goal of JSSS is to provide a platform for scientists and professionals in academia – as well as for developers, engineers, and users – to discuss new developments and advancements in sensors and sensor systems.
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