자료유형  

 학위논문

Control Number  

0016934402

International Standard Book Number  

9798380319652

Dewey Decimal Classification Number  

551.5

Main Entry-Personal Name  

Choudhary, Rishav.

Publication, Distribution, etc. (Imprint  

[S.l.] : Stanford University., 2022

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2022

Physical Description  

1 online resource(216 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

General Note  

Advisor: Bowman, Craig;Wang, Hai;Hanson, Ronald.

Dissertation Note  

Thesis (Ph.D.)--Stanford University, 2022.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약The diversity of reactivities, intermediates, and pathways associated with the lowtemperature oxidation of various component classes that constitute real fuels is perhaps the most challenging aspect of modeling combustion chemistry of these fuels. Unlike hightemperature oxidation (T 1000 K), where the law of large numbers renders global combustion properties of real, multicomponent fuels weakly sensitive to compositional variability, reactions controlling low-temperature oxidation are very sensitive to fuel composition. Despite this fuel specificity, the formation of intermediates during lowtemperature oxidation exhibits certain commonalities which can be observed in carefully designed shock tube experiments.Combining these observations with elemental balance, chemical kinetic considerations, and with the already mature Hybrid Chemistry (HyChem) approach for high-temperature oxidation of real fuels, I first propose an approach to develop simplified, physics-based chemical kinetic models for low-temperature oxidation of real fuels. In this approach, the low-temperature oxidation is described by lumped, fuel-specific reactions whose rate constants and stoichiometric parameters are determined using shock tube species time history measurements. These reactions augment the already developed high-temperature HyChem models which encompass fuel-specific reactions describing thermal and oxidative pyrolysis at high temperatures, and a detailed model describing kinetics of small hydrocarbons. Detailed arguments in support of the model formulation are presented. The model is then exercised to identify species to be targeted for measurements in shock tubes. Carbon monoxide (CO), and formaldehyde (CH2O) were identified as the most important species for determining the model parameters followed by OH, and HO2. Laser absorption spectroscopy based diagnostics for measuring some of these species were also developed in parallel with this work. The feasibility of the targeted speciation studies is first demonstrated during oxidation of five neat hydrocarbons, i.e., n-decane, n-octane, n-heptane, and its two branched isomers, 2-methyl hexane, and 3,3-dimethyl pentane. These studies not only demonstrated the feasibility of the diagnostics, but also highlighted the deficiency in the existing detailed models for low-temperature oxidation of heavy hydrocarbons. They also provided further evidence supporting some of the assumptions made while formulating the LT-HyChem approach.With the speciation strategy developed, and target experimental conditions verified, the application of the LT-HyChem approach to three classes of fuels is presented: a) A simple, three-component hydrocarbon mixture (TPRF-60), b) A jet fuel, c) Two high-performance gasoline fuels. Validation of the model against a range of ignition delay time (IDT) measurements conducted across a range of facilities worldwide is presented. The model predictions for all fuels show excellent agreement with the IDTs reported in the literature over a wide range of conditions. Moreover, the constraints imposed on the model parameters by the species time history measurements conducted in shock tubes result in a significant reduction in the uncertainty in the model's predictions. A detailed uncertainty analysis is presented and is supplemented with sensitivity analysis to identify the dominant contributing factors to the uncertainty in model predictions. The success of the LT-HyChem approach is encouraging as this approach can be extended to the sustainable fuels that will drive the engines of tomorrow. This will enable a rapid screening of candidates for the sustainable fuels of tomorrow.

Subject Added Entry-Topical Term  

Heat.

Subject Added Entry-Topical Term  

Hydrocarbons.

Subject Added Entry-Topical Term  

Aldehydes.

Subject Added Entry-Topical Term  

Sensitivity analysis.

Subject Added Entry-Topical Term  

Molecular structure.

Subject Added Entry-Topical Term  

Oxidation.

Subject Added Entry-Topical Term  

Acoustics.

Subject Added Entry-Topical Term  

Lasers.

Subject Added Entry-Topical Term  

Energy consumption.

Subject Added Entry-Topical Term  

Energy.

Subject Added Entry-Topical Term  

Optics.

Added Entry-Corporate Name  

Stanford University.

Host Item Entry  

Dissertations Abstracts International. 85-03B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:643140