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Methodology for validating multi-dim...

Yu, Xin.

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Methodology for validating multi-dimensional engine combustion models and fuel surrogates using an optically accessible compression ignition engine.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Methodology for validating multi-dimensional engine combustion models and fuel surrogates using an optically accessible compression ignition engine./
作者:	Yu, Xin.
面頁冊數:	360 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-03(E), Section: B.
Contained By:	Dissertation Abstracts International77-03B(E).
標題:	Mechanical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3727333
ISBN:	9781339123783

Methodology for validating multi-dimensional engine combustion models and fuel surrogates using an optically accessible compression ignition engine.
Yu, Xin.

Methodology for validating multi-dimensional engine combustion models and fuel surrogates using an optically accessible compression ignition engine. - 360 p.

Source: Dissertation Abstracts International, Volume: 77-03(E), Section: B.

Thesis (Ph.D.)--Wayne State University, 2015.

In response to increasingly stringent engine emissions regulation, three dimensional in-cylinder combustion modeling is increasingly being used as a tool to optimize the combustion process and reduce the cost of experimental testing. Due to the complexity of the physical and chemical interactions involved in the in-cylinder combustion process, the engine combustion model consists of numerous sub-models developed under pre-defined initial and boundary conditions requiring further model calibration depending on different engine applications. Fuel surrogates, one of those sub-models developed for different combustion applications, may not capture all the behavior when applied to the varying temperature-pressure conditions present in a compression ignition engine.

ISBN: 9781339123783Subjects--Topical Terms:

649730
Mechanical engineering.

Methodology for validating multi-dimensional engine combustion models and fuel surrogates using an optically accessible compression ignition engine.
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245 1 0 $a Methodology for validating multi-dimensional engine combustion models and fuel surrogates using an optically accessible compression ignition engine.
300 $a 360 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-03(E), Section: B.
500 $a Adviser: Marcis Jansons.
502 $a Thesis (Ph.D.)--Wayne State University, 2015.
520 $a In response to increasingly stringent engine emissions regulation, three dimensional in-cylinder combustion modeling is increasingly being used as a tool to optimize the combustion process and reduce the cost of experimental testing. Due to the complexity of the physical and chemical interactions involved in the in-cylinder combustion process, the engine combustion model consists of numerous sub-models developed under pre-defined initial and boundary conditions requiring further model calibration depending on different engine applications. Fuel surrogates, one of those sub-models developed for different combustion applications, may not capture all the behavior when applied to the varying temperature-pressure conditions present in a compression ignition engine.
520 $a In this work a set of optical and global measurements are chosen to experimentally validate a fuel surrogate using an optically accessible compression ignition engine. In addition, to provide a means of directly comparing three-dimensional engine combustion CFD predictions to in- cylinder optical measurements, another aim of this work is to model light emission during the compression ignition engine combustion process. Major excited state species (CH*, CH2O*, OH*, CO2* and C2*) are modeled to study UV chemiluminescence signal observed in the in-cylinder hydrocarbon fuel oxidation process. A novel approach to validate multi-dimensional combustion CFD results is presented. The classic two-color method theory is further developed by analysis of the natural soot luminosity on a McKenna Flat Flame Burner. Spectral and Coherent anti-Stokes Raman Spectroscopy (CARS) measurements are used to propose a value of alpha in the soot emissivity model.
590 $a School code: 0254.
650 4 $a Mechanical engineering. $3 649730
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710 2 $a Wayne State University. $b Mechanical Engineering. $3 1057463
773 0 $t Dissertation Abstracts International $g 77-03B(E).
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793 $a English
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