用于标定和优化的高压共轨柴油机建模

高压共轨柴油机可控燃油喷射参数的增加,在使对燃烧的控制更加灵活的同时也带来标定和优化工作量显著增加的问题.为适应高效率的需要,提出并研究了基于模型的标定优化,即采用神经网络在一些工况点上建立模型,再通过自适应神经模糊推理系统(ANFIS)进行插值,将模型由这些工况点扩展到所需工况空间.模型精度由对象、建模所用数据量及模型参数调整共同决定.试验在一台六缸高压共轨柴油机上进行.理论分析和试验结果表明 该方法可以在保证精度的同时有效减少标定优化的试验工作量.     

Study of CNG／diesel dual fuel engine＇s emissions by means of RBF neural network

Great efforts have been made to resolve the serious environmental pollution and inevitable declining of energy resources. A review of Chinese fuel reserves and engine technology showed that compressed natural gas (CNG)/diesel dual fuel engine (DFE) was one of the best solutions for the above problems at present. In order to study and improve the emission performance of CNG/diesel DFE, an emission model for DFE based on radial basis function (RBF) neural network was developed which was a black-box input-output training data model not require priori knowledge. The RBF centers and the connected weights could be selected automatically according to the distribution of the training data in input-output space and the given approximating error. Studies showed that the predicted results accorded well with the experimental data over a large range of operating conditions from low load to high load. The developed emissions model based on the RBF neural network could be used to successfully predict and optimize the emissions performance of DFE. And the effect of the DFE main performance parameters, such as rotation speed, load, pilot quantity and injection timing, were also predicted by means of this model. In resum6, an emission prediction model for CNG/diesel DFE based on RBF neural network was built for analyzing the effect of the main performance parameters on the CO, NOx emissions of DFE. The predicted results agreed quite well with the traditional emissions model, which indicated that the model had certain application value, although it still has some limitations, because of its high dependence on the quantity of the experimental sample data.     

Simultaneously catalytic removal of NO<Subscript><Emphasis Type="Italic">x</Emphasis></Subscript> and particulate matter on diesel particulate filter

Diesel engines combine a high fuel economy with high durability and low maintenance costs and are, there-fore, used on a large scale for transportation purposes.However, the environmental pollution by diesel-engine exhausts has become more and more serious in the lastdecade, and currently the regulation of diesel emissions becomes tightened especially with respect to nitrogen ox-ides (NOx) and particulate matters (PM). Since the reduc-tion of both NOx and PM to the admitted level cannot be …     

共轨蓄压式电控泵喷嘴系统的实验研究

研究共轨蓄压式电控泵喷吡系统的喷射特性,取代传统的泵－油管－喷嘴系统,利用研制的实验装置对共轨蓄压式电控泵喷嘴的流量特性、喷油压力特性及喷油定时进行实验,由此分析影响喷射特性的各种因素,实验结果表明,共轨蓄压式电控泵喷嘴的特性不仅受共轨压力、增压时间的影响,转速对其也有一定的影响,而在喷射特性调节的灵活性方面,共轨蓄压式电控泵喷嘴较传统的泵－油管－喷嘴系统有明显改善。     

PLC在船用泵组合启动控制系统中的应用

近年来,可编程控制器在我国已获得了极其广泛的应用,它是将自动化技术、计算机技术、通信技术融为一体的新型工业控制装置。本文介绍了PLC在船用泵组合启动控制系统中的应用。重点介绍了该系统的设计思想,PLC的选用方式以及如何实现控制。     

ZS1110T型直喷式柴油机燃用生物柴油的试验研究

对ZS1110T直喷式柴油机燃用生物柴油进行了试验研究.结果表明:在不对原机结构作任何改动的情况下,燃用生物柴油的有效功率比柴油的有效功率大约低10.2%,生物柴油的燃油消耗率比柴油大约高出13.1%.在排放方面,在原机上燃用生物柴油可以降低CO、HC、碳烟排放,由于生物柴油中含氧量高,所以NOx排放比柴油略有增加.从试验中的排放效果来看,生物柴油是柴油机理想的低排放代用燃料.     

柴油机冷却水温度对工作的影响

柴油机冷却水的温度过高或过低都不利于它的工作,本文分别分析了冷却水温度过高、过低对柴油机的影响,并提出了使用的     

一种船用燃油辅锅炉模拟器的仿真研究

针对船用燃油辅锅炉,通过机理建模的方法,得到汽包水位和压力在具体扰动下的数学模型。运用NATLAB在不同的工况下仿真,证实模型可信度。根据仿真分析的结果设计制作燃油辅锅炉主要功能仿真模块,实现船用燃油辅锅炉及相关设备的模拟。本模拟器仿真系统既可对船舶技术人员进行综合训练,也可作为单独的锅炉仿真培训系统,或作为锅炉课程教学的辅助教学用具,具有广阔的推广应用前景。     

关于MTU396柴油机的顺序增压控制及其故障分析

MTU396柴油机采用A.B两台增压器组成的单级顺流增压系统.并通过顺序增压控制系统来接通和切断增压器B,优化增压器在柴油机部分负荷运作时运行性能,以增加进气压力和减少油耗,及其常见故障分析。     

Experimental study on multi-point autoignition characteristics and influence factors of diesel spray in a controllable active thermo-atmosphere

Auto-ignition characteristics of high-pressure diesel spray in the controllable active thermo-atmos-phere (CATA) were studied with a high-speed camera video system. Multi-point autoignition phe-nomenon of diesel spray in the CATA was observed and the influence factors of the autoignition were analyzed. The stabilization mechanisms of the spray flame in different coflow temperatures were also discussed. The stabilization of the flames was controlled by different factors: autoignition phenomenon in low coflow temperature and flame spread in high coflow temperature. The test results also show that the autoignition delay depends strongly on the coflow temperature and has nonlinear relationship with the temperature. Autoignition delay decreases by almost 10 ms from 16.9 to 7.1 ms when the coflow temperature increases from 996 to 1048 K and only 4 ms from 1048 to 1101 K. The injection parameters in terms of nozzle diameter, injection pressure and pump speed, have some effects on autoignition delay while these effects depend on the coflow temperature. The significant effect lies in low coflow temperature. The injection parameters influence the autoignition delay because it can shorten the physical delay by improving the spray quality and enlarging the spray angle or penetration rate to im-prove mixture quality.