基于红外测温的柴油机排气温度不均匀度诊断

设计了柴油机排气红外监测试验台,利用红外热像仪在不同运行工况下测量6135柴油机歧管表面温度,得到了由排气管表面温度确定柴油机排烟气体温度的计算方法。分析了各缸排气歧管表面温度不均匀度与排烟温度不均匀度的关系,研究了表面发射率随温度变化的关系,验证了红外监测技术在柴油机排气不均匀度诊断和预测上的可行性和有效性。     

运用太赫兹时域光谱技术定量分析柴油的含硫量

测量柴油样品的太赫兹时域光谱并对其含硫量进行了定量计算.在0.2 ～1.5 THz范围内,柴油的吸收系数随着太赫兹频率和硫含量呈规律性递增.基于这一变化关系建立起了硫含量与太赫兹吸收系数和频率的多元非线性模型,通过测量柴油的太赫兹光谱代入此模型即可计算出柴油的硫含量.这一结果为太赫兹时域光谱技术应用于柴油含硫量的无损快速检测奠定了理论基础,显示出巨大的应用前景.     

Test and Analysis for Spraying Ammonia in Diesel Engine

A certain amount of ammonia reducer were directly injected into the 4102BZLQ Diesel engine’s combustion chamber when the combustion temperature decreases to 1573-1073K, NOx generated could be reduced to 1.11g/(kW·h). Based on PRF combustion mechanism, NO was tested by using the heavy-duty diesel engine test cycle of ESC thirteen conditions[1], the ammonia spray angle and amount were tested and optimized in different conditions. The test results show that the thermal efficiency of Diesel engine does not decrease while NO exhaust decreases.     

柴油机润滑系统仿真及实验研究

通过一维液压仿真软件对某柴油机润滑系统进行了仿真;根据相关流动参数的仿真结果,分析润滑系统的压力分布.试验研究验证了结果的正确性;通过结构改进优化了柴油机润滑系统的流量和压力分布.     

坦克柴油机起动电流与气缸磨损状态关系分析与评价

为了评价坦克柴油机的技术状态,研究了柴油机起动电流的测量方法,分析了起动电流波形与气缸磨损和气缸压力之间的内在关系,揭示了起动电流波动的本质.在某型坦克实车上测量了起动电流信号,并采用奇异点剔除、小波去噪方法对起动电流进行了预处理,提取了特征波形.按柴油机气缸工作顺序,分段计算了起动电流波形中各缸工作区段的上升段积分,...     

匹配二级顺序增压系统的柴油机高原特性仿真

为了满足柴油机在海拔0～5500 m内功率输出要求,提出了二级顺序增压系统的方案.针对CA6DL2柴油机,根据高原功率恢复指标计算确定了增压系统参数并进行了低压级增压器的选型.利用循环模拟软件GT-Power进行了柴油机高原特性仿真计算.结果表明:发动机与二级顺序增压系统匹配良好,在保持平原输出功率不变的同时,海拔5 ...     

高压共轨柴油机喷油系统性能仿真研究

对高压共轨喷油系统高压油泵、共轨管、电控喷油器等进行了分析,建立了高压共轨喷油系统数学模型;采用GT-FUEL以燃油流动过程为基本流动模型建立了高压共轨喷油系统仿真模型;对高压共轨喷油系统进行了台架试验,对试验结果进行了分析,并对仿真模型的计算精度进行了验证,误差在8.1%以内.     

基于连续小波变换的柴油机气缸工作状态检测

为实现装甲车辆柴油机气缸工作状态不解体检测,在实车上模拟了失火故障,测取了不同状态下排气口附近的噪声信号;利用合适尺度下的连续小波变换(CWT),获得了具有明显幅值调制特征的周期性排气噪声低频成分;经过H ilbert变换幅值解调,提取最大幅值归一化包络信号的方差为特征参数,建立了一种柴油机气缸工作均匀性评价与失火故障检测的新方法。应用结果表明,该方法切实可行。     

柴油发电机组选型细则

简要介绍柴油发电机组的主要特征、各种应用场合的选型、功率匹配及功率修正应关注的几个问题。     

Neuro-Glia-Vascular-on-a-Chip System to Assess Aggravated Neurodegeneration via Brain Endothelial Cells upon Exposure to Diesel Exhaust Particles

Air pollution induces neurodegeneration, including cognitive deficits, neuroinflammation, and disruption of the blood–brain barrier. The mechanisms underlying air pollution-mediated neurodegeneration have not yet been fully elucidated given the limited knowledge on intercellular interactions. A brain-on-a-chip platform is presented comprising neurons, glia, and brain endothelial cells (bECs; neuro-glia-vascular, NGV) and diesel exhaust particle (DEP)-induced neurodegeneration is evaluated with a particular focus on the intercellular interactions. DEP exposure in the NGV model yields Alzheimer's disease-like signatures, including amyloid beta accumulation, tau phosphorylation, hydrogen peroxide (H₂O₂)/reactive oxygen species (ROS) production, and neuronal cell death. bEC-secreted granulocyte-macrophage colony-stimulating factor (GM-CSF) stimulates microglial activation and the overproduction of H₂O₂/ROS in microglia, suggesting that the bEC-microglia-neuron is a neurodegeneration cascade. Pharmacological inhibition at each step of the cascade, including GM-CSF neutralization, microglial activation suppression, and ROS scavenging, prohibits neurodegeneration in the NGV model. Therefore, intercellular interactions should be further studied of air pollution-induced neurodegeneration.