Investigation into diesel engine cylinder head failure

Guo, Jing; Zhang, Meng Xiao; Qu, Sheng Guan; Pang, J.C.; Fu, Chang Ming; Dong, Cao; Li, Shou Xin; Xu, Chun Guang; Zhang, Zhe Feng

doi:10.1016/j.engfailanal.2018.03.008

Cited by 34 publications

(15 citation statements)

References 18 publications

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“…Most ICEs are four-stroke operation engines: intake, compression, power, and exhaust. ICE is observed as an almost certainly component to fail [12]- [14].…”

Section: Introductionmentioning

confidence: 98%

“…When an engine component does not perform smoothly, diagnostic activities should be solved to discover the possible cause. Many faults can be spotted by aiming at the parts, but predicting the early symptoms of faults should be taken to avoid the failure from repeating in the forthcoming [12], [18], [19]. Lei et al [20] have completed a wide-ranging review on an application of machine learning methods from previous, current and upcoming trends.…”

Section: Introductionmentioning

confidence: 99%

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Spark plug failure detection using Z-freq and machine learning

et al. 2021

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Preprogrammed monitoring of engine failure due to spark plug misfire can be traced using a method called machine learning. Unluckily, a challenge to get a high-efficiency rate because of a massive volume of training data is required. During the study, these failure-generated were enhanced with a novel statistical signal-based analysis called Z-freq to improve the exploration. This study is an exploration of the time and frequency content attained from the engine after it goes under a specific situation. Throughout the trial, the misfire was formed by cutting the voltage supplied to simulate the actual outcome of the worn-out spark plug. The failure produced by fault signals from the spark plug misfire were collected using great sensitivity, space-saving and a robust piezo-based sensor named accelerometer. The achieved result and analysis indicated a significant pattern in the coefficient value and scattering of Z-freq data for spark plug misfire. Lastly, the simulation and experimental output were proved and endorsed in a series of performance metrics tests using accuracy, sensitivity, and specificity for prediction purposes. Finally, it confirmed that the proposed technique capably to make a diagnosis: fault detection, fault localization, and fault severity classification.

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“…Most ICEs are four-stroke operation engines: intake, compression, power, and exhaust. ICE is observed as an almost certainly component to fail [12]- [14].…”

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Spark plug failure detection using Z-freq and machine learning

et al. 2021

View full text Add to dashboard Cite

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“…In order to analyze the fatigue failure of the cylinder head, some other researchers [15][16][17][18] focused on numerical simulation methods. However, in practical engineering problems, the simulation of cylinder head fatigue life needs a long calculation time.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life prediction analysis of high-intensity marine diesel engine cylinder head based on fast thermal fluid solid coupling method

Zhang

Cui

Liang

et al. 2021

J Braz. Soc. Mech. Sci. Eng.

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Due to the complex structures and severe working conditions, including the erosion of high-temperature gas and alternating combustion pressure, the thermal-mechanical fatigue is more likely to occur on the loading surface, which will also have serious impacts on the reliability of marine diesel engine. Herein, based on the three-dimensional fluid-solid coupling analysis, a highly effective four-zone heat transfer model is proposed for analyzing the rules of fatigue life of a new-type high power density diesel engine cylinder head, which can greatly simplify the calculation process of thermal fluid-solid coupling and improve the analysis efficiency by 95%. The accuracy of the model is verified by the temperature field test (with the maximum error of 5.6%) and mechanical fatigue test (with the maximum error of 4.1%). The influence law of operating conditions such as in-cylinder pressure and temperature on high cycle fatigue (HCF) and low cycle fatigue (LCF) life is analyzed. Therefore, the generalized Eying model is obtained, which can establish a direct relationship among the cylinder head fatigue life, average gas temperature as well as maximum combustion pressure, potentially providing the reliability evaluation and optimization design for the diesel engine. KeywordsMarine diesel engine • Cylinder head • Heat transfer boundary • Fatigue life • Reliability T w Temperature of wall. [K] y i Dimensionless heat transfer coefficient. [-] Mean effective roughness. [µm]* Yi Cui

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“…Guo et al [17] pointed out that the oxidation weight gain rate decreases rapidly with the vermicular graphite content decreasing. Jing et al [18] analyzed the failure causes of diesel engine cylinder heads under high-temperature service and revealed that oxidation becomes serious, and cracks often originate at the junction of graphite and ferrite matrix on the surface of the cylinder heads, and finally, oxides promote crack propagation. Liu et al [19] found that the effect of surface oxidation on the wear resistance of VGI is related to the hardness of VGI.…”

Section: Introductionmentioning

confidence: 99%

High-Temperature Oxidation Behavior and Related Mechanism of RuT400 Vermicular Graphite Iron

Chen

Pang

et al. 2021

Acta Metall. Sin. (Engl. Lett.)

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The vermicular graphite iron is an important material with excellent combination properties for cylinder heads of diesel engines, and the high-temperature oxidation is a crucial problem during service of the component. In this study, the oxidation experiment of RuT400 vermicular graphite iron was performed at 500 °C, and the oxidation time was chosen as 100 h, 200 h, 300 h, 400 h, and 500 h, respectively. Meanwhile, the corresponding microstructure evolution, oxidation kinetics, and oxidation mechanism were discussed. It is found that oxidation pores and oxide layer often appear at the vermicular graphite on the specimen surface; the vermicular graphite plays the role of oxidation channel, and it tends to diffuse along the adjacent pearlite and then connect with each other to form oxidation bridges as the oxidation time prolongs. A linear relationship between oxidation weight gain and the thickness of the oxide layer was established and verified well. These results will give a more comprehensive understanding on the oxidation mechanism of vermicular graphite iron and provide certain guidance for design and preparation of anti-oxidation cast irons.

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Investigation into diesel engine cylinder head failure

Cited by 34 publications

References 18 publications

Spark plug failure detection using Z-freq and machine learning

Spark plug failure detection using Z-freq and machine learning

Fatigue life prediction analysis of high-intensity marine diesel engine cylinder head based on fast thermal fluid solid coupling method

High-Temperature Oxidation Behavior and Related Mechanism of RuT400 Vermicular Graphite Iron

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