Papers by Keyword: Automotive Engine

Abstract: Research on the use of thermal barrier coatings in internal combustion engine had contributed in achieving higher thermal efficiency, improved combustion and reduced emissions of the engine. Low thermal conductivity ceramics can be used to control the temperature distribution and heat flow in high temperature structural components due to its inherent thermal insulation properties. For this reason much has been and is being done on the study and development of ceramics for use in automotive engine components working under severe temperature conditions and heavy loads due to their inherent thermal and mechanical properties. The objective of the study is to review the contributions of structural ceramics in the development and improvement of some of the major automotive engine components working under severe conditions of temperature. It is expected that the study will serve as a useful guide for the selection of materials which can withstand severe conditions of temperature and heavy loads for a novel turbocharger and turbocharged engine applications.

Abstract: Butanol has been considered an attractive alternative fuel for automotive engine. In the present study, a numerical study is conducted in a spark-ignition engine fuelled with blends of gasoline and 1-butanol at different fuel/air equivalence ratios. The effect of fuel/air equivalence ratio on engine performance is analyzed. The results show that the peak pressure and peak temperature increases with the increasing of fuel/air equivalence ratio. With increased 1-butanol proportion, the incylinder pressure and incylinder temperature gradually decreases. In addition, effect of fuel/air equivalence ratio on nitrogen monoxide emission is depended on the proportion of 1-butanol in blended fuels.

Abstract: This paper describes the composing of Fault Diagnosis Expert System of auto engine. A model for fault diagnosis expert system, based on artificial neural network and expert system, is proposed. Firstly, we build a diagnosis tree, which is based on a fault tree to build an expert system for Diagnosis, then, get training samples from the fault tree and combine the self-study function of ANN to analyze and diagnose faults from different aspects and layers by several different ways to improve the efficiency of system diagnose, overcome the disadvantage of traditional Fault Diagnosis Expert System. This system takes the Single chip microcomputer as a developing tool. It's well operated and visible. Compared with the results obtained by BP- ANN, our method has more fast convergence rate and high computation efficiency.It is an efficient and reliable novel fault diagnosis technology.

Abstract: Spark energy is one of the most important parameters for SI engine, so it need be controlled effectively. Two modes of spark energy measurement were introduced in this paper: simulation load and direction measurement. 4 kinds of simulation load can be found: spherical discharger, three-pole discharger, Zener discharger and Zener string discharger, each has its own character. Zener string was chosen for it suited to electronic-controlled automotive engine. 2 kinds of direction measurement were introduced: attemperator, voltage and current sensor, the later was adopted for it can be realized easily and its precision characteristic. The test results show that the spark energy can be measured quantitatively and effectively in both modes; and the calculated spark energy of simulation load is larger than direction measurement for its less loss at the ignition circuit.

Abstract: In an automotive engine, faults induce impulsive vibrations and thereby degrade engine performance, making it important for an automotive engineer to detect and analyze impulsive vibration signals for fault diagnosis. However, detecting and identifying impulsive signals is often difficult because of interfering signals such as those due to engine firing, harmonics of crankshaft speed and broadband noise components. These interferences hinder early fault detection. To overcome this difficulty we present a two-stage ALEF (Adaptive Line Enhancer Filter) that is capable of enhancing impulsive signals embedded in background noise. This method is used to pre-process signals prior to time-frequency analysis via higher order methods such as the combined higher order time-frequency.