کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4991113 | 1457108 | 2017 | 42 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Numerical study on the effects of intake valve timing on performance of a natural gas-diesel dual-fuel engine and multi-objective Pareto optimization
ترجمه فارسی عنوان
بررسی عددی تاثیر زمان بندی شیر ورودی به عملکرد یک موتور سوخت دوگانه گازسوز و چند منظوره بهینه سازی پارتو
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کلمات کلیدی
NGPIntake valve closureDOEIVCUHCMOPLHSTDCDMESOINOx - NOXNitrogen oxides - اکسید نیتروژنNMR - تشدید مغناطیسی هستهای Carbon dioxide - دیاکسید کربنDimethyl ether - دیمتیل اترparticulate matter - ذرات معلقSimulation - شبیه سازیStart of injection - شروع تزریقDesign of experiments - طراحی آزمایشاتtop dead center - مرکز مرده بالاcarbon monoxide - منوکسیدکربنLatin hypercube sampling - نمونه برداری لاتین هپقوبUnburned hydrocarbons - هیدروکربنهای نشتیCO2 - کربن دیاکسید
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
جریان سیال و فرایندهای انتقال
چکیده انگلیسی
A natural gas-diesel dual-fuel engine is considered an attractive option for reducing the emissions of a diesel engine while maintaining high thermal efficiency. However, it is important to investigate and optimize the parameters of such an engine in dual-fuel mode. Intake valve timing is a major parameter affecting the air/fuel (A/F) ratio, which is an important factor in dual-fuel combustion characteristics. Here, a numerical study was performed to investigate the fundamentals of dual-fuel combustion and the effects of intake valve closure (IVC) changes in dual-fuel mode using a 1D engine simulation. As the natural gas energy proportion (NGP) increased, brake power decreased and nitrogen oxide (NOx) emissions decreased because of low combustion efficiency and a lower temperature in the cylinder. At each NGP, a change in IVC could increase combustion efficiency and affect NOx emissions by controlling the A/F ratio. Additionally, the start of diesel injection (SOI), a major parameter in a dual-fuel engine, and the IVC were selected as independent variables. Latin hypercube sampling (LHS) was used with these variables and a multi-objective Pareto optimization (MOP) was performed to optimize high thermal efficiency and low NOx emissions. As a result, optimal Pareto solutions were obtained.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Thermal Engineering - Volume 121, 5 July 2017, Pages 604-616
Journal: Applied Thermal Engineering - Volume 121, 5 July 2017, Pages 604-616
نویسندگان
Jaehwan Jung, Soonho Song, Kwang Beom Hur,