PREDICTION OF PREMIXED INTERNAL COMBUSTION ENGINE MASS FRACTON BURNED PROFILES USING A PHYSICAL FORM OF THE WIEBE FUNCTION AND THE THEORY OF TURBULENT FLAME BRUSH THICKNESS DYNAMICS
| Main Author: | |
|---|---|
| Language: | English |
| Published: |
The Ohio State University / OhioLINK
2020
|
| Subjects: | |
| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1606987013001077 |
| id |
ndltd-OhioLink-oai-etd.ohiolink.edu-osu1606987013001077 |
|---|---|
| record_format |
oai_dc |
| spelling |
ndltd-OhioLink-oai-etd.ohiolink.edu-osu16069870130010772021-09-01T05:14:48Z PREDICTION OF PREMIXED INTERNAL COMBUSTION ENGINE MASS FRACTON BURNED PROFILES USING A PHYSICAL FORM OF THE WIEBE FUNCTION AND THE THEORY OF TURBULENT FLAME BRUSH THICKNESS DYNAMICS Aquino, Phillip A. Mechanical Engineering Engineering Wiebe turbulent flame speed predict flame speed flame speed model flame brush thickness dynamics turbulent combustion model internal combustion engine mass fraction burned optical engine engine simulation prediction of burn rate 0D engine model The goal of this work is to investigate a new approach for modeling the combustion process of a premixed internal combustion engine. The outcome is the development and validation of a simple, computationally-inexpensive model of the premixed engine combustion process which is capable of predicting the mean mass fraction burned (MFB) profiles of combustion without the extensive use of model calibration that is typically required of this class of modeling. One of the main contributions of this research is the development of a new flame brush thickness dynamics (FBTD) theory which allows the prediction of the transient turbulent flame speed when the statistical description of turbulence is known. The predicted transient turbulent flame speed is then passed in a re-derived form of the Wiebe function, referred to as the BRN model, to determine the instantaneous MFB of the mixture within the engine’s combustion chamber.This new low fidelity combustion model (BRN + FBTD) has been validated against three sets of data in this work. The first set is a theoretical comparison between the FBTD theory and instantaneous G-equation solutions across a range of turbulence parameters for a synthetic, frozen, turbulent flow field. The second being a comparison of a 0D engine simulator utilizing the BRN + FBTD combustion model against real engine cylinder pressure derived measurements of the mass fraction burned profile for a 3.5L GDI V6 engine. Lastly, the dynamics of the flame radius and flame brush thickness as predicted by BRN + FBTD are compared against high speed optical engine measurements on a laser sheet illuminated plane of an optically accessible 3.5L GDI V6 engine from the same family as the two previous datasets.In each case, the good agreement seen between simulation and experiment presented here suggests that the BRN + FBTD combustion model is capable of predicting the MFB profile without the hardware or condition specific calibrations typically required of this class of modeling. 2020 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1606987013001077 http://rave.ohiolink.edu/etdc/view?acc_num=osu1606987013001077 restricted--full text unavailable until 2022-12-21 This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Mechanical Engineering Engineering Wiebe turbulent flame speed predict flame speed flame speed model flame brush thickness dynamics turbulent combustion model internal combustion engine mass fraction burned optical engine engine simulation prediction of burn rate 0D engine model |
| spellingShingle |
Mechanical Engineering Engineering Wiebe turbulent flame speed predict flame speed flame speed model flame brush thickness dynamics turbulent combustion model internal combustion engine mass fraction burned optical engine engine simulation prediction of burn rate 0D engine model Aquino, Phillip A. PREDICTION OF PREMIXED INTERNAL COMBUSTION ENGINE MASS FRACTON BURNED PROFILES USING A PHYSICAL FORM OF THE WIEBE FUNCTION AND THE THEORY OF TURBULENT FLAME BRUSH THICKNESS DYNAMICS |
| author |
Aquino, Phillip A. |
| author_facet |
Aquino, Phillip A. |
| author_sort |
Aquino, Phillip A. |
| title |
PREDICTION OF PREMIXED INTERNAL COMBUSTION ENGINE MASS FRACTON BURNED PROFILES USING A PHYSICAL FORM OF THE WIEBE FUNCTION AND THE THEORY OF TURBULENT FLAME BRUSH THICKNESS DYNAMICS |
| title_short |
PREDICTION OF PREMIXED INTERNAL COMBUSTION ENGINE MASS FRACTON BURNED PROFILES USING A PHYSICAL FORM OF THE WIEBE FUNCTION AND THE THEORY OF TURBULENT FLAME BRUSH THICKNESS DYNAMICS |
| title_full |
PREDICTION OF PREMIXED INTERNAL COMBUSTION ENGINE MASS FRACTON BURNED PROFILES USING A PHYSICAL FORM OF THE WIEBE FUNCTION AND THE THEORY OF TURBULENT FLAME BRUSH THICKNESS DYNAMICS |
| title_fullStr |
PREDICTION OF PREMIXED INTERNAL COMBUSTION ENGINE MASS FRACTON BURNED PROFILES USING A PHYSICAL FORM OF THE WIEBE FUNCTION AND THE THEORY OF TURBULENT FLAME BRUSH THICKNESS DYNAMICS |
| title_full_unstemmed |
PREDICTION OF PREMIXED INTERNAL COMBUSTION ENGINE MASS FRACTON BURNED PROFILES USING A PHYSICAL FORM OF THE WIEBE FUNCTION AND THE THEORY OF TURBULENT FLAME BRUSH THICKNESS DYNAMICS |
| title_sort |
prediction of premixed internal combustion engine mass fracton burned profiles using a physical form of the wiebe function and the theory of turbulent flame brush thickness dynamics |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2020 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1606987013001077 |
| work_keys_str_mv |
AT aquinophillipa predictionofpremixedinternalcombustionenginemassfractonburnedprofilesusingaphysicalformofthewiebefunctionandthetheoryofturbulentflamebrushthicknessdynamics |
| _version_ |
1719473699872047104 |