SBIR Phase I: Microwave Sensing for Monitoring and Controlling Diesel Particulate Filter Operation

SBIR 第一阶段：用于监测和控制柴油颗粒过滤器运行的微波传感

• 批准号: 0912703
• 负责人: Alexander Sappok
• 金额: $ 10万
• 依托单位: Filter Sensing Technologies, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0912703&HistoricalAwards=false
• 关键词: SBIR; Phase; Microwave; Sensing; Monitoring

This Small Business Innovation Research Phase 1 project will investigate the feasibility of using microwaves to measure the amount, type, and distribution of material collected on filters. Filter Sensing Technologies, Inc. (FST) has targeted diesel particulate filters (DPF) as a promising application. Nearly all 2007 and newer diesel engines are equipped with DPFs to meet increasingly stringent emissions limits. The DPF is a porous ceramic substrate mounted in the exhaust, and traps up to 99% of all soot emissions. Accurate monitoring of material accumulation in the DPF is critical to ensure proper operation, minimize the associated fuel economy penalty, and avoid filter malfunctions. Current DPF monitoring systems measure the pressure drop across the filter together with sophisticated predictive soot emission algorithms. These systems are inaccurate, costly, and complex, resulting in inefficient engine operation. FST will develop an innovative microwave-based soot sensor to monitor DPF loading directly, more accurately, and with increased functionality than the current state-of-the art. The research plan will investigate the ability of this system to simultaneously detect soot and ash in the DPF and the spatial distribution of the material. Phase 1 will result in a prototype system to undergo additional field testing and development in Phase 2. The broader impacts of this research address a significant unmet need to improve filter monitoring and control. Measurement error in the current systems is reported between 30% - 50%, and increases when alternative fuels are used. More accurate DPF monitoring provides annual fuel and maintenance cost savings to the end-user between $750 and $1,350 for a typical heavy-duty truck. OEM's benefit from lower system costs, reduced warranty claims, and improved engine and DPF operation. The US DPF sensor market will generate $45 M in annual revenues in 2008, growing to $90 M by 2012. The European market is five times as large. FST's patent pending RF-sensing technologies offer improved performance and increased functionality at less than half the cost of current systems. This sensor greatly simplifies the use of DPFs in OEM and retrofit applications, significantly reducing harmful soot and greenhouse gas emissions. It increases compatibility with alternative fuels and provides fuel economy benefits to the end-user. This technology is not limited to emission control applications, but a wide range of filtration applications where monitoring the amount, type, and location of materials accumulated on filters is critical.This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).

这个小型企业创新研究第一阶段项目将研究使用微波测量过滤器上收集的材料的数量，类型和分布的可行性。 Filter Sensing Technologies，Inc. (FST)柴油机微粒过滤器（DPF）是一种有前景的应用。 几乎所有2007年和更新的柴油发动机都配备了DPF，以满足日益严格的排放限制。 DPF是安装在排气中的多孔陶瓷基底，可捕获高达99%的烟尘排放。 准确监测DPF中的材料积聚对于确保正常运行、最大限度地减少相关的燃油经济性损失以及避免过滤器故障至关重要。 当前的DPF监控系统测量过滤器上的压降以及复杂的预测碳烟排放算法。 这些系统不准确、昂贵且复杂，导致发动机运行效率低下。 FST将开发一种创新的基于微波的碳烟传感器，以直接，更准确地监测DPF负载，并具有比当前最先进的功能更强的功能。研究计划将调查该系统同时检测DPF中碳烟和灰分以及材料空间分布的能力。 第一阶段将产生一个原型系统，在第二阶段进行额外的现场测试和开发。 这项研究的更广泛影响解决了改善过滤器监测和控制的重大未满足需求。 据报道，目前系统的测量误差在30% -50%之间，并且在使用替代燃料时会增加。 更准确的DPF监控为最终用户提供了每年750美元至1，350美元的典型重型卡车燃料和维护成本节省。 OEM受益于更低的系统成本、更少的保修索赔以及更好的发动机和DPF操作。 2008年，美国DPF传感器市场的年收入将达到4500万美元，到2012年将增长到9000万美元。 欧洲市场是其五倍。 FST正在申请专利的RF传感技术提供了更好的性能和更多的功能，而成本不到当前系统的一半。 该传感器极大地简化了DPF在OEM和改造应用中的使用，显著减少了有害烟尘和温室气体排放。 它增加了与替代燃料的兼容性，并为最终用户提供燃油经济性。 该技术不仅限于排放控制应用，还适用于广泛的过滤应用，其中对过滤器上积聚的材料的数量、类型和位置进行监控至关重要。该奖项由2009年美国复苏和再投资法案（公法111-5）资助。