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An experimental and computational st...

Dawson, Jonathan Adam.

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An experimental and computational study of internal combustion engine modeling for controls oriented research.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An experimental and computational study of internal combustion engine modeling for controls oriented research./
Author:	Dawson, Jonathan Adam.
Description:	320 p.
Notes:	Adviser: Giorgio Rizzoni.
Contained By:	Dissertation Abstracts International59-05B.
Subject:	Engineering, Automotive. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9833964
ISBN:	0591872668

An experimental and computational study of internal combustion engine modeling for controls oriented research.
Dawson, Jonathan Adam.

An experimental and computational study of internal combustion engine modeling for controls oriented research. - 320 p.

Adviser: Giorgio Rizzoni.

Thesis (Ph.D.)--The Ohio State University, 1998.

Engine modeling is a long and difficult task with two camps of researchers producing the most commonly used engine models. Original-principles-based models are extensively detailed and require large amounts of computer time to produce results. Alternatively, control-based engine models often rely partly on static experimental data and are computationally inexpensive. However, as engine control schemes become more complicated, it becomes necessary to model more of the fundamental processes in the engine itself. What the controls community needs is a model that is between these two extremes. This dissertation presents a complete engine model that captures most of the dynamics relevant to control engineers. Most importantly, this model is capable of predicting the cylinder pressure based on physical principles. This dissertation presents a two-zone cylindrical flame propagation model that allows for predictive pressure computation and addresses the experimental work required to validate these models. The results show that the simulation underpredicts the engine cylinder pressure during the compression phase, yet overall, the gross IMEP is reasonable.

ISBN: 0591872668Subjects--Topical Terms:

1018477
Engineering, Automotive.

An experimental and computational study of internal combustion engine modeling for controls oriented research.
LDR:02079nam 2200277 a 45 001 929618
005 20110427
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020 $a 0591872668
035 $a (UnM)AAI9833964
035 $a AAI9833964
040 $a UnM $c UnM
100 1 $a Dawson, Jonathan Adam. $3 1253105
245 1 0 $a An experimental and computational study of internal combustion engine modeling for controls oriented research.
300 $a 320 p.
500 $a Adviser: Giorgio Rizzoni.
500 $a Source: Dissertation Abstracts International, Volume: 59-05, Section: B, page: 2387.
502 $a Thesis (Ph.D.)--The Ohio State University, 1998.
520 $a Engine modeling is a long and difficult task with two camps of researchers producing the most commonly used engine models. Original-principles-based models are extensively detailed and require large amounts of computer time to produce results. Alternatively, control-based engine models often rely partly on static experimental data and are computationally inexpensive. However, as engine control schemes become more complicated, it becomes necessary to model more of the fundamental processes in the engine itself. What the controls community needs is a model that is between these two extremes. This dissertation presents a complete engine model that captures most of the dynamics relevant to control engineers. Most importantly, this model is capable of predicting the cylinder pressure based on physical principles. This dissertation presents a two-zone cylindrical flame propagation model that allows for predictive pressure computation and addresses the experimental work required to validate these models. The results show that the simulation underpredicts the engine cylinder pressure during the compression phase, yet overall, the gross IMEP is reasonable.
590 $a School code: 0168.
650 4 $a Engineering, Automotive. $3 1018477
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0540
690 $a 0548
710 2 0 $a The Ohio State University. $3 718944
773 0 $t Dissertation Abstracts International $g 59-05B.
790 $a 0168
790 1 0 $a Rizzoni, Giorgio, $e advisor
791 $a Ph.D.
792 $a 1998
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9833964