Applications of Particle Image Velocimetry in Internal Combustion Engines Research

粒子图像测速 燃烧 粒子跟踪测速 粒子(生态学) 环境科学 航空航天工程 计算机科学 物理 机械 地质学 工程类 化学 湍流 海洋学 有机化学
作者
Gengxin Zhang,Penghua Shi,Yu Jin
出处
期刊:IntechOpen eBooks [IntechOpen]
标识
DOI:10.5772/intechopen.1007148
摘要

Particle image velocimetry (PIV) has become a key tool in the internal combustion engines (ICEs) research. This chapter comprehensively reviews the current applications of PIV in ICEs research, particularly in the fuel injection, the combustion processes, and the in-cylinder flow of engines. Detailed insights obtained from PIV measurements have significantly contributed to optimizing engine design, improving combustion efficiency, and reducing emissions. Despite its advantages, PIV technology still faces several challenges, especially in the context of ammonia–hydrogen-fueled engines. Selecting appropriate tracer particles and organizing the complexity in-cylinder flow field pose significant obstacles. Moreover, this chapter explores corresponding measures to address these challenges, including the development of specialized tracer particles, multimodal measurement approaches, and AI-enhanced data processing. These measures have the potential to further improve the accuracy and applicability of PIV measurements in carbon-neutral engines research. This chapter aims to provide researchers and engineers with a comprehensive understanding of the most advanced PIV applications, encountered challenges, and corresponding measures in the field of ICEs research.

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