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contributor authorHuq, Ragibul
contributor authorAnwar, Sohel
date accessioned2017-05-09T01:16:48Z
date available2017-05-09T01:16:48Z
date issued2015
identifier issn0022-0434
identifier otherds_137_11_111009.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157632
description abstractThis paper presents an innovative approach for measuring particulate matter deposition (soot load) in a diesel particulate filter (DPF) using electrical capacitance imaging. Emission regulations on diesel engines for gaseous as well as particulate matter (soot) emissions are getting stringent every few years by the environment regulatory agencies. Modern diesel engines are equipped with DPFs, as well as onboard technologies to evaluate the status of DPF, because complete knowledge of DPF soot load is very critical for robust and efficient operation of the engine exhaust after treatment system. In course of time, soot will be deposited inside the DPF which will clog the filter and generate a back pressure in the exhaust system, negatively impacting the fuel efficiency. To remove the soot buildup, regeneration (active or passive) of the DPF must be done as an engine exhaust after treatment process periodically. Since the regeneration process consumes fuel, a robust and efficient operation based on accurate knowledge of the soot load becomes essential in order to keep the fuel consumption at a minimum. In this paper, we propose a novel sensing method for a DPF that can measure in situ soot load using electrical capacitance imaging. Experimental results show that the proposed method offers an effective way to measure the soot load in DPF. The proposed method is expected to have a profound impact in improving overall DPF filtering efficiency and durability of a DPF through appropriate closedloop regeneration operation.
publisherThe American Society of Mechanical Engineers (ASME)
titleDevelopment of a Soot Load Sensor Using Electrical Capacitance Imaging
typeJournal Paper
journal volume137
journal issue11
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4030355
journal fristpage111009
journal lastpage111009
identifier eissn1528-9028
treeJournal of Dynamic Systems, Measurement, and Control:;2015:;volume( 137 ):;issue: 011
contenttypeFulltext


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