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One-dimensional combustion performance of a turbocharged V-type eight-cylinder diesel engine was computed by used of WAVE code. The parameters of compress ratio, intake temperature, intake pressure, fuel injection quantity, advance angle of injection, fuel injection rate and fuel injection duration were changed so as to study quantificationally how these parameters affect the power, fuel consume, the max combustion pressure, exhaust temperature and emission of the diesel engine. The computational results could help to accomplish the preliminary optimization of several parameters for combustion matching and supplement experimental experience and exploit new products.

In order to achieve simultaneous removal of particulate matters (PM) and NOX in diesel exhaust, a new kind of aftertreatment prototype has been developed. The prototype combined effects of static, cyclone, non-thermal plasma and hydrocarbon selective catalytic reduction. Experiments have been carried out with standard gases simulating diesel exhaust. Physical and chemical effects that took place in the prototype are as follows: the collection of PM by electrostatic-cyclone system, the oxidative combustion of PM, the selective catalytic reduction of NOX, and the reaction between PM and NOX. The effect of non-thermal plasma makes the density of NO decrease and that of NO2 increase, whereas, the amount of NOX remains the same. Employing catalyst coupled with non-thermal plasma debase the temperature by about 50◻, there the peak value of transform rate appears.

A multidimensional numerical simulation method was developed to analyze air/fuel premixing, stratified combustion and NOx emission formation in a gasoline direct injection (GDI) engine. Firstly, many submodels were integrated into one Computational Fluid Dynamics (CFD) code: ICFD-CN, such as Sarre nozzle flow, Kelvin-Helmholtz (KH) dynamic jet model, Taylor-Analogy Breakup (TAB) model, Rayleigh-Taylor (RT) droplet breakup model, Lefebvre fuel vaporization model, Liu droplet drag & distortion model, Gosman turbulence & droplet dispersion model, O'rourke wall film model, O'rourke and Bracco droplet impinging & coalescence model, Stanton spray/wall impinging model, the Discrete Particle Ignition Kernel(DPIK)ignition model, the single step combustion and the patulous Zeldovich model for NOx generation mechanism. The integrated CFD code was then calibrated against experimental data in a gasoline direct injection engine for several engine operating conditions.

Turbocharged and intercooled DI engines, fueled with different blends of biodiesel and diesel fuel, were chosen to conduct performance and emission tests on dynamometers. The properties of the test fuels were tested. The cylinder pressure and fuel injection pressure signals were recorded and combustion analysis was conducted. The engine exhaust emissions were measured. The results of the study indicated that HC, CO, PM and smoke emissions improvement was obtained. But there was an increase in fuel consumption and NOx emission, and a slight drop in power with the blends. The combustion analysis showed that biodiesel had a shorter ignition delay and a lower premixed combustion amount, but had an early start of injection caused by the fuel properties. The relationship between combustion and emissions was discussed.

This paper first discusses the principles of how to identify whether a time series has chaotic characteristics, and explores a method of finding out the embedding dimension of a time series. Then Grassberger-Procaccia (G-P) algorithm is adopted to calculate correlative dimension. After the validity of G-P algorithm is confirmed using several traditional strange attractors, it is applied to calculate the fractal dimension of some vibration signals of an automotive transmission. This article presents how to apply chaos and fractal theories to diagnose the wearing of ball bearings in automotive transmissions based on the analysis of the transmission acceleration vibration signals. The results show that the vibration signals of automotive transmissions have fractal nature. There are certain correlations between a bearing's condition and the fractal dimension of its vibration signal.

This paper describes the application of Human Simulation Intelligent Control(HSIC) method to improve the idle speed performance of heavy-duty diesel engines on the basis of diesel engine electronic control system. The HSIC is a kind of intelligent control method which can be used without knowing the system's model and it can on line choose control models and it is also easy to be used under the condition of diesel engine electronic control system. In our system, we used electronic control system to control fuel quantity by double loop control of pump rack position and engine speed. From the experimental results, The engine minimum idle speed has been reduced from 800 rpm at first to 500 rpm, and the speed fluctuation have been reduced by 50 percent. From the system's design and test, the simplicity and efficiency of the HSIC control method were demonstrated.