کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10271970 | 461157 | 2014 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modelling of soot formation in a heavy-duty diesel engine with conditional moment closure
ترجمه فارسی عنوان
مدل سازی تشکیل دوده در یک موتور دیزلی سنگین با بستن لحظه مشکلی
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کلمات کلیدی
بستن لحظه مشروط، مدل سازی جوش موتورهای دیزلی، اسپری اسپری، احتراق دما پایین،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
چکیده انگلیسی
This study presents the first application of a multidimensional conditional moment closure (CMC) combustion with a two-equation soot model to study the evolution of in-cylinder soot in diesel engines. Five high-fidelity reference cases from an optically accessible heavy-duty diesel engine were used to validate the model predictions; these include two high-temperature cases and two low-temperature cases with two different injection timings and one low-temperature case with a split injection strategy. Simulation results have been compared with experimental data by means of non-reactive fuel vapour distribution, apparent heat release rates (AHRR), temporal evolutions of quantitative in-cylinder soot mass and natural luminosity. The model was capable to reproduce semi-quantitative trends of soot mass for all five cases. In particular for low-temperature conditions the evolution of soot formation and oxidation is very well captured. A line-of-sight transformation of the computed 3DÂ soot is proposed to ensure a consistent comparison with the measured 2DÂ soot natural luminosity images. With this methodology additional effects related to radiation adsorption were observed. Evolutions of line-of-sight soot natural luminosity were qualitatively very well reproduced. Overall the findings suggest that the presented two-equation soot model implemented in the CMC framework is a highly promising candidate for predicting time evolutions of in-cylinder soot for diesel engines operating in different combustion modes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuel - Volume 117, Part A, 30 January 2014, Pages 309-325
Journal: Fuel - Volume 117, Part A, 30 January 2014, Pages 309-325
نویسندگان
Michele Bolla, Daniele Farrace, Yuri M. Wright, Konstantinos Boulouchos,