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A Model for Soot Load Estimation in a Gasoline Particulate Filter Using a Radio Frequency Sensor.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	A Model for Soot Load Estimation in a Gasoline Particulate Filter Using a Radio Frequency Sensor./
作者:	Fiano, Angela.
面頁冊數:	1 online resource (100 pages)
附註:	Source: Masters Abstracts International, Volume: 57-02.
Contained By:	Masters Abstracts International57-02(E).
標題:	Automotive engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355368338

A Model for Soot Load Estimation in a Gasoline Particulate Filter Using a Radio Frequency Sensor.
Fiano, Angela.

A Model for Soot Load Estimation in a Gasoline Particulate Filter Using a Radio Frequency Sensor. - 1 online resource (100 pages)

Source: Masters Abstracts International, Volume: 57-02.

Thesis (M.A.Sc.)

Includes bibliographical references

Gasoline Direct Injection (GDI) engines represent a promising technology for facing the more and more stringent limits imposed by emission regulations. However, one of the drawbacks of GDI engines compared to PFI engines is the production of soot. One of the possible solutions to reduce the amount of soot emitted in the atmosphere, among the different existent strategies, is the Gasoline Particulate Filter (GPF). Nowadays, the most common device in cars for monitoring the filter state and trigger the regeneration event is the differential pressure sensor. However, this provides an indirect measure of the soot state of the filter using a predictive model implemented in the Electronic Control Unit (ECU). A valid alternative, in laboratory environment, is represented by the Radio Frequency sensor. The objective of the study is to determine if a correlation exists between the output of the RF sensor and the amount of soot in the filter. The final outcome will be an analytical model that uses the average forward gain recorded from the Radio Frequency sensor and the exhaust gas temperature that can be used to estimate the amount of soot on the filter during both loading and regeneration phases. Moreover, with the output of the model during the regeneration event, it will be possible to understand when the soot oxidation starts and to distinguish the different soot reactivity, i.e. how it differently oxidizes during regeneration.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355368338Subjects--Topical Terms:

1104081
Automotive engineering.
Index Terms--Genre/Form:

554714
Electronic books.

A Model for Soot Load Estimation in a Gasoline Particulate Filter Using a Radio Frequency Sensor.
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245 1 2 $a A Model for Soot Load Estimation in a Gasoline Particulate Filter Using a Radio Frequency Sensor.
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500 $a Source: Masters Abstracts International, Volume: 57-02.
500 $a Adviser: Andrzej Sobiesiak.
502 $a Thesis (M.A.Sc.) $c University of Windsor (Canada) $d 2017.
504 $a Includes bibliographical references
520 $a Gasoline Direct Injection (GDI) engines represent a promising technology for facing the more and more stringent limits imposed by emission regulations. However, one of the drawbacks of GDI engines compared to PFI engines is the production of soot. One of the possible solutions to reduce the amount of soot emitted in the atmosphere, among the different existent strategies, is the Gasoline Particulate Filter (GPF). Nowadays, the most common device in cars for monitoring the filter state and trigger the regeneration event is the differential pressure sensor. However, this provides an indirect measure of the soot state of the filter using a predictive model implemented in the Electronic Control Unit (ECU). A valid alternative, in laboratory environment, is represented by the Radio Frequency sensor. The objective of the study is to determine if a correlation exists between the output of the RF sensor and the amount of soot in the filter. The final outcome will be an analytical model that uses the average forward gain recorded from the Radio Frequency sensor and the exhaust gas temperature that can be used to estimate the amount of soot on the filter during both loading and regeneration phases. Moreover, with the output of the model during the regeneration event, it will be possible to understand when the soot oxidation starts and to distinguish the different soot reactivity, i.e. how it differently oxidizes during regeneration.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Automotive engineering. $3 1104081
650 4 $a Mechanical engineering. $3 557493
650 4 $a Engineering. $3 561152
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710 2 $a University of Windsor (Canada). $b Mechanical Engineering. $3 1148433
773 0 $t Masters Abstracts International $g 57-02(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10635152 $z click for full text (PQDT)