Henan Diesel Engine Industry Co.

Henan’an, China

Henan Diesel Engine Industry Co.

Henan’an, China
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Zhao W.,Harbin Engineering University | Zhao W.,Henan Diesel Engine Industry Co. | Fan L.,Harbin Engineering University | Dong Q.,Harbin Engineering University | Ma X.,Harbin Engineering University
Journal of Marine Science and Technology (Taiwan) | Year: 2017

The combination electronic unit pump (CEUP) is a type of electronic unit pump fuel injection system specially designed for meeting the requirements on emission and fuel efficiency of diesel engines. It is a fairly complex product which is assembled together by mechanical, hydraulic and electrical magnetic systems. The fuel temperature dynamic characteristics of CEUP which reflects heat load characteristics of the whole system are investigated both by bench test in the laboratory and numerical simulations. The research on dynamic characteristics of highpressure fuel injection temperature (FIT) reveals the effects of fuel tank temperature and injection pulse width on FIT. The results show that FIT goes up with the increase of fuel injection pulse width when the cam rotational speed is kept constant. A maximum FIT of 118°C is recorded at 10°CaA pulse width, 1400 rpm cam rotational speed and 50°C fuel tank temperature. It is concluded from research that increasing the pulse width by 4-6°CaA and 6-10°CaA results in FIT variation rate of 0-4°C/ °CaA and 4-5°C/°CaA respectively. The research on the lowpressure fuel supply temperature (FST) dynamic characteristic illustrates that the increase of FST in low-pressure system is the result of thermal transmittance of the fuel flowing back from the high-pressure system to the low-pressure system after the end of fuel injection. Moreover, FST in the low-pressure system tends to climb up with the increase of cam rotational speed and injection pulse width. In addition, the deviation between entrance fuel temperature and exit fuel temperature in low-pressure system ranges between -0.7°C and 3.4°C, and the same tendency has been observed when the numbers of unit pumps in CEUP are increased. It is also concluded that the variation of FST in high/ low pressure system is due to the transient coupling process of the fuel.


Ren W.-X.,Henan Diesel Engine Industry Co. | Lei C.-W.,Henan Diesel Engine Industry Co. | Gao Y.-X.,Henan Diesel Engine Industry Co.
Jinshu Rechuli/Heat Treatment of Metals | Year: 2012

The effect of material and process technology on microstructure and fatigue property of piston pin was analyzed. By improving material purity, decreasing banded structure, optimizing carburizing and quenching process, refining microstructure, the strength, wear resistance and dimension stability are greatly improved, fatigue life of piston pin can reach over ten thousand hours.


Niu X.,Harbin Engineering University | Niu X.,Henan Diesel Engine Industry Co. | Yang C.,Harbin Engineering University | Wang H.,Harbin Engineering University | Wang Y.,Harbin Engineering University
Applied Thermal Engineering | Year: 2016

Artificial Neural Network (ANN) and Support Vector Machine (SVM), due to their accuracy and ability to analyze nonlinear problems, have been applied in many research areas. However, their performances vary with the application area. This paper investigates the performances of these two approaches for the responses prediction of a common rail direct injection system (CRDI)-assisted marine diesel engine. Moreover, considering that the experiments of marine diesel engines are always time, money and energy consuming, the main purpose of this study is to determine the better predictive approach based on a small amount of training data. The Taguchi orthogonal array is employed for the operating points determination of training data; then, based on the same training data, which contain only 25 samples, the predictive performances of ANN and SVM are evaluated and compared. The comparison of ANN and SVM indicates that with limited experimental data, SVM can find the optimal global solution and has excellent predictive accuracy and generalization capability, while ANN may converge to local minima and face the overfitting problem. Eventually, this study suggests that SVM is well-suited for application to diesel engine response predictions and will reduce the experimental cost significantly. © 2016 Elsevier Ltd.


Ren W.-X.,HeNan Diesel Engine Industry Co. | Wen J.-B.,Henan University of Science and Technology | Gao Y.-X.,HeNan Diesel Engine Industry Co.
Jinshu Rechuli/Heat Treatment of Metals | Year: 2010

Factors that influenced the distortion of gears and pins during salt bath nitrocarburizing were analysed. Through salt bath nitrocarburizing, it is found that variety of CNO- content in salt bath causes different microstructure in nitrocarburized layer, thus result in obvious change of parts dimension. By controlling the content of CNO- within provided limits, the distortion of gears and pins can be controlled effectively.

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