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Modeling reacting gases and aftertre...
~
Depcik, Christopher David.
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Modeling reacting gases and aftertreatment devices for internal combustion engines.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Modeling reacting gases and aftertreatment devices for internal combustion engines./
作者:
Depcik, Christopher David.
面頁冊數:
339 p.
附註:
Source: Dissertation Abstracts International, Volume: 64-09, Section: B, page: 4481.
Contained By:
Dissertation Abstracts International64-09B.
標題:
Engineering, Automotive. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3106047
ISBN:
0496536133
Modeling reacting gases and aftertreatment devices for internal combustion engines.
Depcik, Christopher David.
Modeling reacting gases and aftertreatment devices for internal combustion engines.
- 339 p.
Source: Dissertation Abstracts International, Volume: 64-09, Section: B, page: 4481.
Thesis (Ph.D.)--University of Michigan, 2003.
As more emphasis is placed worldwide on reducing greenhouse gas emissions, automobile manufacturers have to create more efficient engines. Simultaneously, legislative agencies want these engines to produce fewer problematic emissions such as nitrogen oxides and particulate matter. In response, newer combustion methods, like homogeneous charge compression ignition and fuel cells, are being researched alongside the old standard of efficiency, the compression ignition or diesel engine. These newer technologies present a number of benefits but still have significant challenges to overcome. As a result, renewed interest has risen in making diesel engines cleaner.
ISBN: 0496536133Subjects--Topical Terms:
1018477
Engineering, Automotive.
Modeling reacting gases and aftertreatment devices for internal combustion engines.
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Chair: Dionissios N. Assanis.
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Thesis (Ph.D.)--University of Michigan, 2003.
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As more emphasis is placed worldwide on reducing greenhouse gas emissions, automobile manufacturers have to create more efficient engines. Simultaneously, legislative agencies want these engines to produce fewer problematic emissions such as nitrogen oxides and particulate matter. In response, newer combustion methods, like homogeneous charge compression ignition and fuel cells, are being researched alongside the old standard of efficiency, the compression ignition or diesel engine. These newer technologies present a number of benefits but still have significant challenges to overcome. As a result, renewed interest has risen in making diesel engines cleaner.
520
$a
The key to cleaning up the diesel engine is the placement of aftertreatment devices in the exhaust. These devices have shown great potential in reducing emission levels below regulatory levels while still allowing for increased fuel economy versus a gasoline engine. However, these devices are subject to many flow control issues. While experimental evaluation of these devices helps to understand these issues better, it is impossible to solve the problem through experimentation alone because of time and cost constraints.
520
$a
Because of this, accurate models are needed in conjunction with the experimental work. In this dissertation, the author examines the entire exhaust system including reacting gas dynamics and aftertreatment devices, and develops a complete numerical model for it. The author begins by analyzing the current one-dimensional gas-dynamics simulation models used for internal combustion engine simulations. It appears that more accurate and faster numerical method is available, in particular, those developed in aeronautical engineering, and the author successfully implements one for the exhaust system.
520
$a
The author then develops a comprehensive literature search to better understand the aftertreatment devices. A number of these devices require a secondary injection of fuel or reductant in the exhaust stream. Accordingly, the author develops a simple post-cylinder injection model which can be easily tuned to match experimental findings. In addition, the author creates a general catalyst model which can be used to model virtually all of the different aftertreatment devices. Extensive validation of this model with experimental data is presented along with all of the numerical algorithms needed to reproduce the model.
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