汽油直喷发动机计算流体力学设计与控制综述

Q3 Engineering
Diagnostyka Pub Date : 2022-09-01 DOI:10.29354/diag/153373
Barhm Mohamad, Mohammed Ali
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引用次数: 0

摘要

本文通过文献综述,探讨了计算流体动力学(CFD)建模技术在汽油直喷(GDI)发动机燃烧系统设计、调节和生产中的作用。首先简要分析了喷射器技术以及喷雾特性对燃烧系统优化的影响。优化均匀充气GDI燃烧系统的关键挑战是通过减少表面燃料的润湿来提高燃料-空气混合的体积性能和均匀性以及提高功率输出。大多数计算都集中在动态网格策略上,以管理不同情况下的移动几何体。这些方法的技术各不相同。在用于汽车应用的GDI汽油喷射器的开启事件中,文献的发现表明了初级燃料的雾化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review of the design and control using computational fluid dynamics of gasoline direct injection engines
This paper explores the role of the computational fluid dynamics (CFD) modeling technique in the design, regulation, and production of the gasoline direct injection (GDI) engine combustion system through literature reviews. It begins with a brief analysis of injector technologies and the effect of spray characteristics on the optimization of the combustion system. The key challenges of optimizing a homogeneous-charge GDI combustion system are the enhancement of volumetric performance and homogeneity of fuel-air mixing with reduced wetting of surface fuel and the improvement of power output. Most of the calculations focused on dynamic mesh strategy to manage moving geometry varied from case to case. The techniques of the methods varied. During the opening event of a GDI gasoline-injector for automotive applications, the findings of the literature indicate the primary fuel atomization.
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来源期刊
Diagnostyka
Diagnostyka Engineering-Mechanical Engineering
CiteScore
2.20
自引率
0.00%
发文量
41
期刊介绍: Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.
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