This study aims to analyze the influence of the polycyclic aromatic hydrocarbon(PAH)content in diesel on the physical and chemical properties of diesel soot particles.Four diesel fuels with different PAH content were ...This study aims to analyze the influence of the polycyclic aromatic hydrocarbon(PAH)content in diesel on the physical and chemical properties of diesel soot particles.Four diesel fuels with different PAH content were tested on a 11.6 L direct-injection diesel engine.The raw particulate matter(PM)before the after-treatment devices was collected using the thermophoresis sampling system and the filter sampling system.A transmission electron microscope and Raman spectrometer are used to analyze the physical properties of the soot particles,including morphology,primary particle size distribution,and graphitization degree.A Fourier transform infrared spectrometer and thermogravimetric analyzer are used to characterize the surface chemical composition and oxidation reactivity of soot particles,respectively.The results show that as the PAH content in the fuel decreases,the size of the primary soot particles decreases from 29.58 to 26.70 nm.The graphitization degree of soot particles first increases and then decreases,and the relative content of the aliphatic hydrocarbon functional groups of soot particles first decreases and then increases.The T_(10),T_(50),and T_(90) of soot from high-PAH fuel are 505.3,589.3,and 623.5℃,while those from low-PAH fuel are 480.1,557.5,and 599.2℃,respectively.This indicates that exhaust PM generated by the low-PAH fuel has poor oxidation reactivity.However,as the PAH content in fuel is further decreased,the excessively high cetane number may cause uneven mixing and incomplete combustion,leading to enhanced oxidation reactivity.展开更多
飞机大部件智能装配能力建设涉及领域多、范围广,多学科、多专业交叉融合特点显著,是一项复杂的系统工程。近年来,飞机智能装配能力建设已实现相当程度的单点技术突破与应用,但并未达到全局最优,亟需采用科学的方法对智能装配体系能力...飞机大部件智能装配能力建设涉及领域多、范围广,多学科、多专业交叉融合特点显著,是一项复杂的系统工程。近年来,飞机智能装配能力建设已实现相当程度的单点技术突破与应用,但并未达到全局最优,亟需采用科学的方法对智能装配体系能力建设进行整体规划与全局优化。提出采用基于模型的系统工程(Model-Based Systems Engineering,MBSE),科学开展飞机大部件智能装配体系能力建设的方法研究,逐级明确、细化智能装配能力建设需求与技术方案,构建相对应的数字模型并采用仿真技术进行不断验证、迭代优化,最终实现智能装配能力效能的最大化。展开更多
基金National Key Research and Development Program of China(2017YFB0306605)Key Laboratory of Engines at Tianjin University(Grant No.K2022-06).
文摘This study aims to analyze the influence of the polycyclic aromatic hydrocarbon(PAH)content in diesel on the physical and chemical properties of diesel soot particles.Four diesel fuels with different PAH content were tested on a 11.6 L direct-injection diesel engine.The raw particulate matter(PM)before the after-treatment devices was collected using the thermophoresis sampling system and the filter sampling system.A transmission electron microscope and Raman spectrometer are used to analyze the physical properties of the soot particles,including morphology,primary particle size distribution,and graphitization degree.A Fourier transform infrared spectrometer and thermogravimetric analyzer are used to characterize the surface chemical composition and oxidation reactivity of soot particles,respectively.The results show that as the PAH content in the fuel decreases,the size of the primary soot particles decreases from 29.58 to 26.70 nm.The graphitization degree of soot particles first increases and then decreases,and the relative content of the aliphatic hydrocarbon functional groups of soot particles first decreases and then increases.The T_(10),T_(50),and T_(90) of soot from high-PAH fuel are 505.3,589.3,and 623.5℃,while those from low-PAH fuel are 480.1,557.5,and 599.2℃,respectively.This indicates that exhaust PM generated by the low-PAH fuel has poor oxidation reactivity.However,as the PAH content in fuel is further decreased,the excessively high cetane number may cause uneven mixing and incomplete combustion,leading to enhanced oxidation reactivity.
文摘飞机大部件智能装配能力建设涉及领域多、范围广,多学科、多专业交叉融合特点显著,是一项复杂的系统工程。近年来,飞机智能装配能力建设已实现相当程度的单点技术突破与应用,但并未达到全局最优,亟需采用科学的方法对智能装配体系能力建设进行整体规划与全局优化。提出采用基于模型的系统工程(Model-Based Systems Engineering,MBSE),科学开展飞机大部件智能装配体系能力建设的方法研究,逐级明确、细化智能装配能力建设需求与技术方案,构建相对应的数字模型并采用仿真技术进行不断验证、迭代优化,最终实现智能装配能力效能的最大化。
